| data lifecycle management dlm: Data Lifecycles Roger Reid, Gareth Fraser-King, W. David Schwaderer, 2007-01-11 Businesses now rely almost entirely on applications and databases, causing data and storage needs to increase at astounding rates. It is therefore imperative for a company to optimize and simplify the complexity of managing its data resources. Plenty of storage products are now available, however the challenge remains for companies to proactively manage their storage assets and align the resources to the various departments, divisions, geographical locations and business processes to achieve improved efficiency and profitability. Data Lifecycles identifies ways to incorporate an intelligent service platform to manage and map the storage of data. The authors give an overview of the latest trends and technologies in storage networking and cover critical issues such as world-wide compliance. Data Lifecycles: Provides a single-source guide to data and storage methodologies, processes, technologies and compliance issues. Addresses the need of an encompassing intelligent data and storage management platform for modern businesses. Gives an overview of the latest data technologies and concepts such as utility computing and information lifecycle management. Clearly defines and describes lifecycle management and strategies to ensure growth of critical business data. Shows how to dramatically reduce the total cost of storage ownership and provide rapid return on investment. Enables customers to make decisions directed toward the purchase of storage tools and storage management solutions. This text is an ideal introduction to modern data lifecycle management for network managers, system administrators, storage/system architects, network managers, information management directors as well as CIO/CTOs and their teams, senior IT managers and decision makers, and database administrators. |
| data lifecycle management dlm: Data Governance: The Definitive Guide Evren Eryurek, Uri Gilad, Valliappa Lakshmanan, Anita Kibunguchy-Grant, Jessi Ashdown, 2021-03-08 As you move data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure your organization meets compliance requirements. Data governance incorporates the ways people, processes, and technology work together to ensure data is trustworthy and can be used effectively. This practical guide shows you how to effectively implement and scale data governance throughout your organization. Chief information, data, and security officers and their teams will learn strategy and tooling to support democratizing data and unlocking its value while enforcing security, privacy, and other governance standards. Through good data governance, you can inspire customer trust, enable your organization to identify business efficiencies, generate more competitive offerings, and improve customer experience. This book shows you how. You'll learn: Data governance strategies addressing people, processes, and tools Benefits and challenges of a cloud-based data governance approach How data governance is conducted from ingest to preparation and use How to handle the ongoing improvement of data quality Challenges and techniques in governing streaming data Data protection for authentication, security, backup, and monitoring How to build a data culture in your organization |
| data lifecycle management dlm: Mastering Data security and governance Cybellium Ltd, A Blueprint for Safeguarding Data in a Connected World In an era where data breaches and privacy concerns make headlines, the importance of robust data security and effective governance cannot be overstated. Mastering Data Security and Governance serves as your comprehensive guide to understanding and implementing strategies that protect sensitive information while ensuring compliance and accountability in today's interconnected landscape. About the Book: In a world where data is a valuable currency, organizations must prioritize data security and governance to build trust with their customers, partners, and stakeholders. Mastering Data Security and Governance delves into the critical concepts, practices, and technologies required to establish a resilient data protection framework while maintaining transparency and adhering to regulatory requirements. Key Features: Security Fundamentals: Lay the foundation with a clear explanation of data security principles, including encryption, access controls, authentication, and more. Understand the threats and vulnerabilities that can compromise data integrity and confidentiality. Governance Frameworks: Explore the intricacies of data governance, including data ownership, classification, and policies. Learn how to establish a governance framework that fosters responsible data management and usage. Compliance and Regulations: Navigate the complex landscape of data regulations and compliance standards, such as GDPR, HIPAA, and CCPA. Discover strategies for aligning your data practices with legal requirements. Risk Management: Learn how to assess and mitigate risks related to data breaches, cyberattacks, and unauthorized access. Develop incident response plans to minimize the impact of security incidents. Data Privacy: Dive into the realm of data privacy, understanding the rights of individuals over their personal information. Explore techniques for anonymization, pseudonymization, and ensuring consent-based data processing. Cloud Security: Explore the unique challenges and solutions for securing data in cloud environments. Understand how to leverage cloud security services and best practices to protect your data. Identity and Access Management: Delve into identity management systems, role-based access controls, and multi-factor authentication to ensure only authorized users have access to sensitive data. Emerging Technologies: Stay ahead of the curve by exploring how AI, blockchain, and other emerging technologies are impacting data security and governance. Understand their potential benefits and challenges. Why This Book Matters: As the digital landscape expands, so do the risks associated with data breaches and mismanagement. Mastering Data Security and Governance empowers businesses, IT professionals, and security practitioners to fortify their defenses against data threats, establish transparent governance practices, and navigate the evolving regulatory landscape. Secure Your Data Future: Data is the lifeblood of the digital age, and its security and responsible management are paramount. Mastering Data Security and Governance equips you with the knowledge and tools needed to build a robust security posture and establish effective governance, ensuring that your data remains safe, compliant, and trustworthy in an increasingly interconnected world. Your journey to safeguarding valuable data begins here. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com |
| data lifecycle management dlm: Information Resources Management: Concepts, Methodologies, Tools and Applications Management Association, Information Resources, 2010-04-30 This work is a comprehensive, four-volume reference addressing major issues, trends, and areas for advancement in information management research, containing chapters investigating human factors in IT management, as well as IT governance, outsourcing, and diffusion--Provided by publisher. |
| data lifecycle management dlm: Data Governance Dimitrios Sargiotis, |
| data lifecycle management dlm: Data Protection and Information Lifecycle Management Thomas D. Petrocelli, 2006 This book introduces Information Lifecycle Management (ILM), a powerful new strategy for managing enterprise information based on its value over time. The author explains emerging techniques for protecting storage systems and storage networks, and for integrating storage security into your overall security plan. He also presents new technical advances and opportunities to improve existing data-protection processes, including backup/restore, replication, and remote copy. |
| data lifecycle management dlm: High Performance SQL Server DBA Robin Schumacher, 2005-12 A guide to troubleshooting and correcting SQL Server performance problems, this book provides a methodology for use in analyzing any SQL Server database. The most recent advances in SQL Server8i and 9i are covered to make a SQL Server database run as fast as possible. Properly using ratio-based and bottleneck analysis, designing a fast-running database from the ground up, and establishing methods for making storage and reorganization problems a thing of the past are demonstrated. Also presented are new techniques for monitoring and optimizing memory usage and improved methods for uncovering session-related bottlenecks. |
| data lifecycle management dlm: Net Zeros and Ones Richard Stiennon, Russ B. Ernst, Fredrik Forslund, 2022-11-22 Design, implement, and integrate a complete data sanitization program In Net Zeros and Ones: How Data Erasure Promotes Sustainability, Privacy, and Security, a well-rounded team of accomplished industry veterans delivers a comprehensive guide to managing permanent and sustainable data erasure while complying with regulatory, legal, and industry requirements. In the book, you’ll discover the why, how, and when of data sanitization, including why it is a crucial component in achieving circularity within IT operations. You will also learn about future-proofing yourself against security breaches and data leaks involving your most sensitive information—all while being served entertaining industry anecdotes and commentary from leading industry personalities. The authors also discuss: Several new standards on data erasure, including the soon-to-be published standards by the IEEE and ISO How data sanitization strengthens a sustainability or Environmental, Social, and Governance (ESG) program How to adhere to data retention policies, litigation holds, and regulatory frameworks that require certain data to be retained for specific timeframes An ideal resource for ESG, data protection, and privacy professionals, Net Zeros and Ones will also earn a place in the libraries of application developers and IT asset managers seeking a one-stop explanation of how data erasure fits into their data and asset management programs. |
| data lifecycle management dlm: Data Protection David G. Hill, 2016-04-19 Failure to appreciate the full dimensions of data protection can lead to poor data protection management, costly resource allocation issues, and exposure to unnecessary risks. Data Protection: Governance, Risk Management, and Compliance explains how to gain a handle on the vital aspects of data protection.The author begins by building the foundatio |
| data lifecycle management dlm: Good Informatics Practices (GIP) Module: Data Management Robert Barr, Vizma Carver, Kim Green, Nishant Jain, Anthony Omosule, Steven Owens, Mark Vilicich MS, CSM, Ford Winslow, Nigel Wright, |
| data lifecycle management dlm: Life Cycle Management Guido Sonnemann, Manuele Margni, 2015-07-16 This book provides insight into the Life Cycle Management (LCM) concept and the progress in its implementation. LCM is a management concept applied in industrial and service sectors to improve products and services, while enhancing the overall sustainability performance of business and its value chains. In this regard, LCM is an opportunity to differentiate through sustainability performance on the market place, working with all departments of a company such as research and development, procurement and marketing, and to enhance the collaboration with stakeholders along a company’s value chain. LCM is used beyond short-term business success and aims at long-term achievements by minimizing environmental and socio-economic burden, while maximizing economic and social value. |
| data lifecycle management dlm: Mastering Cloud Data Cybellium Ltd, 2023-09-06 Cybellium Ltd is dedicated to empowering individuals and organizations with the knowledge and skills they need to navigate the ever-evolving computer science landscape securely and learn only the latest information available on any subject in the category of computer science including: - Information Technology (IT) - Cyber Security - Information Security - Big Data - Artificial Intelligence (AI) - Engineering - Robotics - Standards and compliance Our mission is to be at the forefront of computer science education, offering a wide and comprehensive range of resources, including books, courses, classes and training programs, tailored to meet the diverse needs of any subject in computer science. Visit https://www.cybellium.com for more books. |
| data lifecycle management dlm: Mastering File an Print services Cybellium Ltd, Optimize Data Sharing and Document Management for Seamless Collaboration In the landscape of modern computing and network management, file and print services are the backbone of efficient data sharing and document management. Mastering File and Print Services is your comprehensive guide to understanding and harnessing the potential of these essential IT services, empowering you to create streamlined workflows that enhance collaboration and boost productivity. About the Book: As digital communication and collaboration become increasingly important, a strong foundation in file and print services becomes essential for IT professionals. Mastering File and Print Services offers an in-depth exploration of these core IT services—an indispensable toolkit for network administrators, system engineers, and enthusiasts. This book caters to both newcomers and experienced practitioners aiming to excel in designing, configuring, and managing file and print environments. Key Features: File Sharing Fundamentals: Begin by understanding the core principles of file sharing services. Learn about file access, permissions, and protocols that facilitate seamless data sharing. Print Services Essentials: Dive into print services. Explore methods for configuring and managing printers, print queues, and print jobs in a network environment. Network Attached Storage (NAS): Grasp the art of setting up NAS devices. Understand how to create shared storage solutions that enable efficient data access and backup. File and Folder Permissions: Explore techniques for managing file and folder permissions. Learn how to control access to sensitive data and maintain security. Printer Management: Understand printer management techniques. Learn how to deploy, configure, and troubleshoot printers in a networked environment. Centralized Document Management: Delve into document management strategies. Explore methods for creating centralized repositories and version control for documents. Mobile and Remote Access: Grasp techniques for enabling mobile and remote access to files and print services. Learn how to accommodate remote workers and ensure data availability. Real-World Applications: Gain insights into how file and print services are applied across industries. From businesses to educational institutions, discover the diverse applications of these services. Why This Book Matters: In a digital age driven by collaboration and data sharing, mastering file and print services offers a competitive advantage. Mastering File and Print Services empowers IT professionals, network administrators, and technology enthusiasts to leverage these crucial services, enabling them to design efficient workflows that enhance collaboration, data accessibility, and document management. Streamline Data Management for Success: In the landscape of modern computing, file and print services are essential for efficient collaboration and data sharing. Mastering File and Print Services equips you with the knowledge needed to leverage these essential IT services, enabling you to design streamlined workflows that enhance collaboration, improve data accessibility, and boost productivity. Whether you're a seasoned practitioner or new to the world of file and print services, this book will guide you in building a solid foundation for effective network management and document sharing. Your journey to mastering file and print services starts here. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com |
| data lifecycle management dlm: Always-On Enterprise Information Systems for Business Continuance: Technologies for Reliable and Scalable Operations Bajgoric, Nijaz, 2009-08-31 This book provides chapters describing in more detail the structure of information systems pertaining to enabling technologies, aspects of their implementations, IT/IS governing, risk management, disaster management, interrelated manufacturing and supply chain strategies, and new IT paradigms--Provided by publisher. |
| data lifecycle management dlm: Information Governance Principles and Practices for a Big Data Landscape Chuck Ballard, Cindy Compert, Tom Jesionowski, Ivan Milman, Bill Plants, Barry Rosen, Harald Smith, IBM Redbooks, 2014-03-31 This IBM® Redbooks® publication describes how the IBM Big Data Platform provides the integrated capabilities that are required for the adoption of Information Governance in the big data landscape. As organizations embark on new use cases, such as Big Data Exploration, an enhanced 360 view of customers, or Data Warehouse modernization, and absorb ever growing volumes and variety of data with accelerating velocity, the principles and practices of Information Governance become ever more critical to ensure trust in data and help organizations overcome the inherent risks and achieve the wanted value. The introduction of big data changes the information landscape. Data arrives faster than humans can react to it, and issues can quickly escalate into significant events. The variety of data now poses new privacy and security risks. The high volume of information in all places makes it harder to find where these issues, risks, and even useful information to drive new value and revenue are. Information Governance provides an organization with a framework that can align their wanted outcomes with their strategic management principles, the people who can implement those principles, and the architecture and platform that are needed to support the big data use cases. The IBM Big Data Platform, coupled with a framework for Information Governance, provides an approach to build, manage, and gain significant value from the big data landscape. |
| data lifecycle management dlm: Ace AWS Certified Solutions Architect Associate Exam (2024 Edition) Etienne Noumen, Unlock unparalleled technical depth with this book, expertly integrating the proven methodologies of Tutorials Dojo, the insights of Adrian Cantrill, and the hands-on approach of AWS Skills Builder. Unlock success with 'Ace the AWS Solutions Architect Associates SAA-C03 Certification Exam' by Etienne Noumen. With over 20 years in Software Engineering and a deep 5-year dive into AWS Cloud, Noumen delivers an unmatched guide packed with Quizzes, Flashcards, Practice Exams, and invaluable CheatSheets. Learn firsthand from testimonials of triumphs and recoveries, and master the exam with exclusive tips and tricks. This comprehensive roadmap is your ultimate ticket to acing the SAA-C03 exam! Become stronger in your current role or prepare to step into a new one by continuing to build the cloud solutions architecture skills companies are begging for right now. Demand for cloud solutions architect proficiency is only set to increase, so you can expect to see enormous ROI on any cloud learning efforts you embark on. What will you learn in this book? Design Secure Architectures Design Resilient Architectures Design High-Performing Architectures Design Cost-Optimized Architectures What are the requirements or prerequisites for reading this book? The target candidate should have at least 1 year of hands-on experience designing cloud solutions that use AWS services Who is this book for? IT Professionals, Solutions Architect, Cloud enthusiasts, Computer Science and Engineering Students, AWS Cloud Developer, Technology Manager and Executives, IT Project Managers What is taught in this book? AWS Certification Preparation for Solutions Architecture – Associate Level Keywords: AWS Solutions Architect SAA-C03 Certification Etienne Noumen AWS Cloud expertise Practice Exams AWS Flashcards AWS CheatSheets Testimonials Exam preparation AWS exam tips Cloud Engineering Certification guide AWS study guide Solutions Architect Associates Exam success strategies The book contains several testimonials like the one below: Successfully cleared the AWS Solutions Architect Associate SAA-C03 with a score of 824, surpassing my expectations. The exam presented a mix of question difficulties, with prominent topics being Kinesis, Lakeformation, Big Data tools, and S3. Given the declining cybersecurity job market in Europe post-2021, I'm contemplating a transition to cloud engineering. For preparation, I leveraged Stephane Mareek's course, Tutorial dojo's practice tests, and flashcards. My manager also shared his AWS skill builder account. Post evaluation, I found Mareek's practice tests to be outdated and more challenging than required, with his course delving too deeply into some areas. In contrast, Tutorial dojo's materials were simpler. My scores ranged from 65% on Mareek's tests to 75-80% on Tutorial dojo, with a 740 on the official AWS practice test. Sharing this for those on a similar journey. Sample Questions and Detailed Answers included: Latest AWS SAA Practice Exam - Question 1: A web application hosted on AWS uses an EC2 instance to serve content and an RDS MySQL instance for database needs. During a performance audit, you notice frequent read operations are causing performance bottlenecks. To optimize the read performance, which of the following strategies should you implement? (Select TWO.) A. Deploy an ElastiCache cluster to cache common queries and reduce the load on the RDS instance. B. Convert the RDS instance to a Multi-AZ deployment for improved read performance. C. Use RDS Read Replicas to offload read requests from the primary RDS instance. D. Increase the instance size of the RDS database to a larger instance type with more CPU and RAM. E. Implement Amazon Redshift to replace RDS for improved read and write operation performance. Correct Answer: A. Deploy an ElastiCache cluster to cache common queries and reduce the load on the RDS instance. C. Use RDS Read Replicas to offload read requests from the primary RDS instance. Explanation: Amazon RDS Read Replicas provide a way to scale out beyond the capacity of a single database deployment for read-heavy database workloads. You can create one or more replicas of a source DB Instance and serve high-volume application read traffic from multiple copies of your data, thereby increasing aggregate read throughput. Reference: Amazon RDS Read Replicas Latest AWS SAA Practice Exam - Question 2: Secure RDS Access with IAM Authentication A financial application suite leverages an ensemble of EC2 instances, an Application Load Balancer, and an RDS instance poised in a Multi-AZ deployment. The security requisites dictate that the RDS database be exclusively accessible to authenticated EC2 instances, preserving the confidentiality of customer data. The Architect must choose a security mechanism that aligns with AWS best practices and ensures stringent access control. What should the Architect implement to satisfy these security imperatives? Enable IAM Database Authentication for the RDS instance. Implement SSL encryption to secure the database connections. Assign a specific IAM Role to the EC2 instances granting RDS access. Utilize IAM combined with STS for restricted RDS access with a temporary credentialing system. Correct Answer: A. Enable IAM Database Authentication for the RDS instance. Here's the detailed explanation and reference link for the answer provided: Enable IAM Database Authentication for the RDS instance. IAM database authentication is used to control who can connect to your Amazon RDS database instances. When IAM database authentication is enabled, you don’t need to use a password to connect to a DB instance. Instead, you use an authentication token issued by AWS Security Token Service (STS). IAM database authentication works with MySQL and PostgreSQL. It provides enhanced security because the authentication tokens are time-bound and encrypted. Moreover, this method integrates the database access with the centralized IAM service, simplifying user management and access control. By using IAM Database Authentication, you satisfy the security requirements by ensuring that only authenticated EC2 instances (or more precisely, the applications running on them that assume an IAM role with the necessary permissions) can access the RDS database. This method also preserves the confidentiality of customer data by leveraging AWS’s robust identity and access management system. Reference: IAM Database Authentication for MySQL and PostgreSQL The other options provided are valuable security mechanisms but do not fulfill the requirements as directly or effectively as IAM Database Authentication for the given scenario: Implement SSL encryption to secure the database connections. While SSL (Secure Socket Layer) encryption secures the data in transit between the EC2 instances and the RDS instance, it does not provide an access control mechanism on its own. SSL encryption should be used in conjunction with IAM database authentication for a comprehensive security approach. Assign a specific IAM Role to the EC2 instances granting RDS access. Assigning an IAM role to EC2 instances to grant them access to RDS is a good practice and is required for the EC2 instances to use IAM Database Authentication. However, it is not the complete answer to the question of which security mechanism to implement. Utilize IAM combined with STS for restricted RDS access with a temporary credentialing system. AWS Security Token Service (STS) is indeed used when implementing IAM Database Authentication, as it provides the temporary credentials (authentication tokens) for database access. While the use of STS is inherent to the process of IAM Database Authentication, the answer needed to specify the enabling of IAM Database Authentication as the method to meet the security requirements. Latest AWS SAA Practice Exam - Question 3: A microservice application is being hosted in the ap-southeast-1 and ap-northeast-1 regions. The ap-southeast-1 region accounts for 80% of traffic, with the rest from ap-northeast-1. As part of the company’s business continuity plan, all traffic must be rerouted to the other region if one of the regions’ servers fails. Which solution can comply with the requirement? A. Set up an 80/20 weighted routing in the application load balancer and enable health checks. B. Set up an 80/20 weighted routing in the network load balancer and enable health checks. C. Set up an 80/20 weighted routing policy in AWS Route 53 and enable health checks. D. Set up a failover routing policy in AWS Route 53 and enable health checks. Correct Answer: C. Establish an 80/20 weighted routing policy in AWS Route 53 and incorporate health checks. Explanation: The correct solution for this scenario is to use AWS Route 53's weighted routing policy with health checks. This setup allows the distribution of traffic across multiple AWS regions based on assigned weights (in this case, 80% to ap-southeast-1 and 20% to ap-northeast-1) and automatically reroutes traffic if one region becomes unavailable due to server failure. Option C is correct because AWS Route 53’s weighted routing policy allows you to assign weights to resource record sets (RRS) which correspond to different AWS regions. When combined with health checks, Route 53 can monitor the health of the application in each region. If a region becomes unhealthy, Route 53 will reroute traffic to the healthy region based on the configured weights. Option A and B are incorrect because application and network load balancers operate at the regional level, not the global level. Therefore, they cannot reroute traffic between regions. Option D, while involving Route 53, suggests a failover routing policy, which is not suitable for distributing traffic with a specific percentage split across regions. Failover routing is typically used for active-passive failover, not for load distribution, which doesn't align with the requirement to handle traffic in an 80/20 proportion. The weighted routing policy of AWS Route 53, with appropriate health checks, satisfies the business requirement by distributing traffic in the specified ratio and ensuring business continuity by redirecting traffic in the event of a regional failure. Reference: https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/routing-policy.html Get the Print version of the Book at Amazon at https://amzn.to/40ycS4c (Use Discount code Djamgatech2024 for 50% OFF) |
| data lifecycle management dlm: The Internet of Things and Big Data Analytics Pethuru Raj, T Poongodi, Balamurugan Balusamy, Manju Khari, 2020-06-07 This book comprehensively conveys the theoretical and practical aspects of IoT and big data analytics with the solid contributions from practitioners as well as academicians. This book examines and expounds the unique capabilities of the big data analytics platforms in capturing, cleansing and crunching IoT device/sensor data in order to extricate actionable insights. A number of experimental case studies and real-world scenarios are incorporated in this book in order to instigate our book readers. This book Analyzes current research and development in the domains of IoT and big data analytics Gives an overview of latest trends and transitions happening in the IoT data analytics space Illustrates the various platforms, processes, patterns, and practices for simplifying and streamlining IoT data analytics The Internet of Things and Big Data Analytics: Integrated Platforms and Industry Use Cases examines and accentuates how the multiple challenges at the cusp of IoT and big data can be fully met. The device ecosystem is growing steadily. It is forecast that there will be billions of connected devices in the years to come. When these IoT devices, resource-constrained as well as resource-intensive, interact with one another locally and remotely, the amount of multi-structured data generated, collected, and stored is bound to grow exponentially. Another prominent trend is the integration of IoT devices with cloud-based applications, services, infrastructures, middleware solutions, and databases. This book examines the pioneering technologies and tools emerging and evolving in order to collect, pre-process, store, process and analyze data heaps in order to disentangle actionable insights. |
| data lifecycle management dlm: Privacy & Data Protection Essentials Courseware - English Ruben Zeegers, Theo Wanders, 2019-05-15 Besides the Privacy & Data Protection Essentials Courseware - English (ISBN: 978 940 180 457 8) publication you are advised to obtain the publication EU GDPR, A pocket guide (ISBN: 978 178 778 064 4). Privacy & Data Protection Essentials (PDPE) covers essential subjects related to the protection of personal data. Candidates benefit from a certification that is designed to impart all the required knowledge to help ensure compliancy to the General Data Protection Regulation (GDPR). This regulation affects every organization that processes European Union personal data. Wherever personal data is collected, stored, used, and finally deleted or destroyed, privacy concerns arise. With the European Union GDPR the Council of the European Union attempts to strengthen and unify data protection for all individuals within the European Union. Within the European Union regulations and standards regarding the protection of data are stringent. The GDPR came into effect in May 2016 and organizations had until May 2018 to change their policies and processes to ensure that they fully comply with the GDPR. Companies outside Europe also need to comply the GDPR when doing business in Europe. One of the solutions to comply on the GDPR is to train and qualify staff. Certified professionals with the right level of knowledge will help your organization to comply the GDPR. The EXIN Privacy & Data Protection program covers the required knowledge of legislation and regulations relating to data protection and how this knowledge should be used to be compliant. The EXIN Privacy & Data Protection Essentials is part of the EXIN qualification program Privacy and Data Protection. |
| data lifecycle management dlm: Ultimate Enterprise Data Analysis and Forecasting using Python Shanthababu Pandian, 2023-12-28 Practical Approaches to Time Series Analysis and Forecasting using Python for Informed Decision-Making KEY FEATURES ● Comprehensive Resource for Python-Based Time Series Analysis and Forecasting. ● Delve into real-world applications with industry-specific case studies. ● Extract valuable insights by solving time series challenges across various sectors. ● Understand the significance of Azure Time Series Insights and AWS Forecast components. ● Practical insights into leveraging cloud platforms for efficient time series forecasting. DESCRIPTION Embark on a transformative journey through the intricacies of time series analysis and forecasting with this comprehensive handbook. Beginning with the essential packages for data science and machine learning projects you will delve into Python's prowess for efficient time series data analysis, exploring the core components and real-world applications across various industries through compelling use-case studies. From understanding classical models like AR, MA, ARMA, and ARIMA to exploring advanced techniques such as exponential smoothing and ETS methods, this guide ensures a deep understanding of the subject. It will help you navigate the complexities of vector autoregression (VAR, VMA, VARMA) and elevate your skills with a deep dive into deep learning techniques for time series analysis. By the end of this book, you will be able to harness the capabilities of Azure Time Series Insights and explore the cutting-edge AWS Forecast components, unlocking the cloud's power for advanced and scalable time series forecasting. WHAT WILL YOU LEARN ● Explore Time Series Data Analysis and Forecasting, covering components and significance. ● Gain a practical understanding through hands-on examples and real-world case studies. ● Master Time Series Models (AR, MA, ARMA, ARIMA, VAR, VMA, VARMA) with executable samples. ● Delve into Deep Learning for Time Series Analysis, demystified with classical examples. ● Actively engage with Azure Time Series Insights and AWS Forecast components for a contemporary perspective. WHO IS THIS BOOK FOR? This book caters to beginners, intermediates, and practitioners in data-related fields such as Data Analysts, Data Scientists, and Machine Learning Engineers, as well as those venturing into Time Series Analysis and Forecasting. It assumes readers have a foundational understanding of programming languages (C, C++, Python), data structures, statistics, and visualization concepts. With a focus on specific projects, it also functions as a quick reference for advanced users. TABLE OF CONTENTS 1. Introduction to Python and its key packages for DS and ML Projects 2. Python for Time Series Data Analysis 3. Time Series Analysis and its Components 4. Time Series Analysis and Forecasting Opportunities in Various Industries 5. Exploring various aspects of Time Series Analysis and Forecasting 6. Exploring Time Series Models - AR, MA, ARMA, and ARIMA 7. Understanding Exponential Smoothing and ETS Methods in TSA 8. Exploring Vector Autoregression and its Subsets (VAR, VMA, and VARMA) 9. Deep Learning for Time Series Analysis and Forecasting 10. Azure Time Series Insights 11. AWSForecast Index |
| data lifecycle management dlm: Product Lifecycle Management Enabling Smart X Felix Nyffenegger, José Ríos, Louis Rivest, Abdelaziz Bouras, 2020-11-19 This book constitutes the refereed post-conference proceedings of the 17th IFIP WG 5.1 International Conference on Product Lifecycle Management, PLM 2020, held in Rapperswil, Switzerland, in July 2020. The conference was held virtually due to the COVID-19 crisis. The 60 revised full papers presented together with 2 technical industrial papers were carefully reviewed and selected from 80 submissions. The papers are organized in the following topical sections: smart factory; digital twins; Internet of Things (IoT, IIoT); analytics in the order fulfillment process; ontologies for interoperability; tools to support early design phases; new product development; business models; circular economy; maturity implementation and adoption; model based systems engineering; artificial intelligence in CAx, MBE, and PLM; building information modelling; and industrial technical contributions. |
| data lifecycle management dlm: Cyberwarfare: Information Operations in a Connected World Mike Chapple, David Seidl, 2021-10-11 Cyberwarfare: Information Operations in a Connected World puts students on the real-world battlefield of cyberspace! It reviews the role that cyberwarfare plays in modern military operations–operations in which it has become almost impossible to separate cyberwarfare from traditional warfare. |
| data lifecycle management dlm: Quality in the Era of Industry 4.0 Kai Yang, 2024-01-24 Enables readers to use real-world data from connected devices to improve product performance, detect design vulnerabilities, and design better solutions Quality in the Era of Industry 4.0 provides an insightful guide in harnessing user performance and behavior data through AI and other Industry 4.0 technologies. This transformative approach enables companies not only to optimize products and services in real-time, but also to anticipate and mitigate likely failures proactively. In a succinct and lucid style, the book presents a pioneering framework for a new paradigm of quality management in the Industry 4.0 landscape. It introduces groundbreaking techniques such as utilizing real-world data to tailor products for superior fit and performance, leveraging connectivity to adapt products to evolving needs and use-cases, and employing cutting-edge manufacturing methods to create bespoke, cost-effective solutions with greater efficiency. Case examples featuring applications from the automotive, mobile device, home appliance, and healthcare industries are used to illustrate how these new quality approaches can be used to benchmark the product’s performance and durability, maintain smart manufacturing, and detect design vulnerabilities. Written by a seasoned expert with experience teaching quality management in both corporate and academic settings, Quality in the Era of Industry 4.0 covers sample topics such as: Evolution of quality through industrial revolutions, from ancient times to the first and second industrial revolutions Quality by customer value creation, explaining differences in producers, stakeholders, and customers in the new digital age, along with new realities brought by Industry 4.0 Data quality dimensions and strategy, data governance, and new talents and skill sets for quality professionals in Industry 4.0 Automated product lifecycle management, predictive quality control, and defect prevention using technologies like smart factories, IoT, and sensors Quality in the Era of Industry 4.0 is a highly valuable resource for product engineers, quality managers, quality engineers and quality consultants, industrial engineers, and systems engineers who wish to make a participatory approach towards data-driven design, economical mass-customization, and late differentiation. |
| data lifecycle management dlm: High Performance Computing and Communications Ronald Perrott, Barbara Chapman, Jaspal Subhlok, Rodrigo Fernandes de Mello, Laurence T. Yang, 2007-09-08 This book constitutes the refereed proceedings of the Third International Conference on High Performance Computing and Communications, HPCC 2007. The 75 revised full papers address all current issues of parallel and distributed systems and high performance computing and communication, including networking protocols, embedded systems, wireless, mobile and pervasive computing, Web services and internet computing, and programming interfaces for parallel systems. |
| data lifecycle management dlm: Strategic Blueprint for Enterprise Analytics Liang Wang, |
| data lifecycle management dlm: Digital Business in Africa Ogechi Adeola, Jude N. Edeh, Robert E. Hinson, 2022-06-29 This edited volume seeks to examine how enterprises in Africa can utilize digital technologies and innovations in creating value for their customers and clients in order to increase effectiveness and efficiency. Through social media, businesses are increasingly reaching and engaging their customers in several ways and so enterprises in Africa must harness the opportunities in the digital space if they want to remain competitive, earn profit, and meet their customers’ needs. Accordingly, this book looks at how digital technologies are helping shape the financial, educational, and advertising sectors in Africa. As digital technologies raise challenges, the chapters that follow will discuss ethical and social practical frameworks to effective digital business in Africa. This volume promises to fore both theoretical underpinnings, and practical implementations of digital technologies in the African business context. |
| data lifecycle management dlm: Something's Gotta Give Beth R. Bernhardt, Leah H. Hinds, Katina P. Strauch, 2012 The theme of the 2011 Charleston Conference, the annual event that explores issues in book and serial acquisition, was Something's Gotta Give. The conference, held November 2-5, 2011, in Charleston, SC, included 9 pre-meetings, more than 10 plenaries, and over 120 concurrent sessions. The theme reflected the increasing sense of strain felt by both libraries and publishers as troubling economic trends and rapid technological change challenge the information supply chain. What part of the system will buckle under this pressure? Who will be the winners and who will be the losers in this stressful environment? The Charleston Conference continues to be a major event for information exchange among librarians, vendors, and publishers. As it begins its fourth decade, the Conference is one of the most popular international meetings for information professionals, with almost 1,500 delegates. Conference attendees continue to remark on the informative and thought-provoking sessions. The Conference provides a collegial atmosphere where librarians, vendors, and publishers talk freely and directly about issues facing libraries and information providers. In this volume, the organizers of the meeting are pleased to share some of the learning experiences that they-and other attendees-had at the conference. |
| data lifecycle management dlm: Mastering Amazon EC2 Badri Kesavan, 2024-05-10 Master Amazon EC2 with this comprehensive guide to unleashing the full potential of cloud computing, optimizing performance, and revolutionizing your business processes Key Features Gain an in-depth understanding of EC2 core components, connectivity, networking, and security best practices Build resilient applications with load balancing, autoscaling and diverse storage options Learn advanced concepts and use cases for serverless, containers, HPC, and hybrid/multi cloud architecture Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThis comprehensive guide demystifies the complex landscape of Amazon EC2, from fundamentals to advanced concepts. You’ll begin by understanding EC2 core components, creating and managing AMIs, selecting the right instance type and size, establishing networking and connectivity, and implementing security best practices. Next, you’ll start building resilient apps on EC2, load balancing, auto scaling, storage options, performance optimization, monitoring, logging, and auditing. You'll also explore advanced concepts like containers, serverless, hybrid/multi-cloud architectures, high performance computing, big data, and disaster recovery strategies. By the end, you'll be equipped with the knowledge and confidence to harness the full potential of Amazon EC2.What you will learn Discover how to create, manage, and select the right EC2 AMIs Explore load balancing and auto scaling with Elastic Load Balancing (ELB) and Auto Scaling Groups (ASGs) Study EC2 storage options and performance optimization Master monitoring and maintenance with Amazon Web Services (AWS) tools Understand containerization, serverless computing, and EC2 automation Get up to speed with migration, modernization, and compliance in EC2 Who this book is for This Amazon book is for IT professionals, DevOps engineers, cloud architects and developers looking to delve into Amazon EC2 and cloud computing. No prior AWS experience is required as the book takes you through the fundamentals, gradually advancing toward more complex topics. |
| data lifecycle management dlm: Data Governance and Strategies Mr.Desidi Narsimha Reddy, 2024-09-05 Mr.Desidi Narsimha Reddy, Data Consultant (Data Governance, Data Analytics: Enterprise Performance Management, AI & ML), Soniks consulting LLC, 101 E Park Blvd Suite 600, Plano, TX 75074, United States. |
| data lifecycle management dlm: Inside System Storage: Volume I (Paperback) Tony Pearson, 2007-10-13 This blog-based book, or blook, comprises the first twelve months of posts from Inside System Storage, a blog discussing computer storage concepts in general, and IBM System Storage(TM) products in particular. Tony Pearson, shares his thoughts and experiences about: -IT storage and storage networking concepts -IBM strategy, hardware, software and services -Disk systems, Tape systems, and storage networking -Storage and infrastructure management software -Second Life, Facebook, and other Web 2.0 platforms -IBM's many alliances, partners and competitors -How IT storage impacts society and industry |
| data lifecycle management dlm: IAPP CIPM Certified Information Privacy Manager Study Guide Mike Chapple, Joe Shelley, 2023-01-19 An essential resource for anyone preparing for the CIPM certification exam and a career in information privacy As cybersecurity and privacy become ever more important to the long-term viability and sustainability of enterprises in all sectors, employers and professionals are increasingly turning to IAPP’s trusted and recognized Certified Information Privacy Manager qualification as a tried-and-tested indicator of information privacy management expertise. In IAPP CIPM Certified Information Privacy Manager Study Guide, a team of dedicated IT and privacy management professionals delivers an intuitive roadmap to preparing for the CIPM certification exam and for a new career in the field of information privacy. Make use of pre-assessments, the Exam Essentials feature, and chapter review questions with detailed explanations to gauge your progress and determine where you’re proficient and where you need more practice. In the book, you’ll find coverage of every domain tested on the CIPM exam and those required to succeed in your first—or your next—role in a privacy-related position. You’ll learn to develop a privacy program and framework, as well as manage the full privacy program operational lifecycle, from assessing your organization’s needs to responding to threats and queries. The book also includes: A head-start to obtaining an in-demand certification used across the information privacy industry Access to essential information required to qualify for exciting new career opportunities for those with a CIPM credential Access to the online Sybex learning environment, complete with two additional practice tests, chapter review questions, an online glossary, and hundreds of electronic flashcards for efficient studying An essential blueprint for success on the CIPM certification exam, IAPP CIPM Certified Information Privacy Manager Study Guide will also ensure you hit the ground running on your first day at a new information privacy-related job. |
| data lifecycle management dlm: CLOUD COMPUTING ARCHITECTURE (DESIGN, IMPLEMENTATION, AND SECURITY STRATEGIES) ASHISH KUMAR SHYAMAKRISHNA SIDDHARTH CHAMARTHY RAMYA RAMACHANDRAN RAGHAV AGARWAL, 2024-10-24 In the ever-evolving landscape of the modern world, the synergy between technology and management has become a cornerstone of innovation and progress. This book, Cloud Computing Architecture: Design, Implementation, and Security Strategies, is conceived to bridge the gap between emerging technological advancements in cloud computing and their strategic application in modern IT management. Our objective is to equip readers with the tools and insights necessary to excel in this dynamic intersection of fields. This book is structured to provide a comprehensive exploration of the methodologies and strategies that define the innovation of cloud technologies, particularly in terms of architecture, implementation, and security. From foundational theories to advanced applications, we delve into the critical aspects that drive successful cloud-based solutions in enterprise environments. We have made a concerted effort to present complex concepts in a clear and accessible manner, making this work suitable for a diverse audience, including students, IT managers, and industry professionals. In authoring this book, we have drawn upon the latest research and best practices to ensure that readers not only gain a robust theoretical understanding but also acquire practical skills that can be applied in real-world cloud computing scenarios. The chapters are designed to strike a balance between depth and breadth, covering topics ranging from technological development and cloud architecture design to the strategic management of security in cloud-based systems. Additionally, we emphasize the importance of effective communication, dedicating sections to the art of presenting innovative ideas and solutions in a precise and academically rigorous manner. The inspiration for this book arises from a recognition of the crucial role that cloud computing architecture and security strategies play in shaping the future of digital businesses. We are profoundly grateful to Chancellor Shri Shiv Kumar Gupta of Maharaja Agrasen Himalayan Garhwal University for his unwavering support and vision. His dedication to fostering academic excellence and promoting a culture of innovation has been instrumental in bringing this project to fruition. We hope this book will serve as a valuable resource and inspiration for those eager to deepen their understanding of how cloud computing technologies and management practices can be harnessed together to drive innovation. We believe that the knowledge and insights contained within these pages will empower readers to lead the way in creating secure, scalable cloud solutions that will define the future of enterprise IT. Thank you for joining us on this journey. Authors |
| data lifecycle management dlm: Practical Enterprise Data Lake Insights Saurabh Gupta, Venkata Giri, 2018-07-29 Use this practical guide to successfully handle the challenges encountered when designing an enterprise data lake and learn industry best practices to resolve issues. When designing an enterprise data lake you often hit a roadblock when you must leave the comfort of the relational world and learn the nuances of handling non-relational data. Starting from sourcing data into the Hadoop ecosystem, you will go through stages that can bring up tough questions such as data processing, data querying, and security. Concepts such as change data capture and data streaming are covered. The book takes an end-to-end solution approach in a data lake environment that includes data security, high availability, data processing, data streaming, and more. Each chapter includes application of a concept, code snippets, and use case demonstrations to provide you with a practical approach. You will learn the concept, scope, application, and starting point. What You'll Learn Get to know data lake architecture and design principles Implement data capture and streaming strategies Implement data processing strategies in Hadoop Understand the data lake security framework and availability model Who This Book Is For Big data architects and solution architects |
| data lifecycle management dlm: Privacy & Data Protection Practitioner Courseware - English Marios Siathas, 2018-02-25 Besides the Privacy & Data Protection Practitioner Courseware - English (ISBN: 9789401803595) publication you are advised to obtain the publications: - EU GDPR, A pocket guide (ISBN: 978 1 849 2855 5) - Data Protection and Privacy Management System. Data Protection and Privacy Guide - Vol. 1 (ISBN 978 87 403 1540 0) With the ever increasing explosion of information flooding the internet, every company needs to plan how to manage and protect privacy of persons and their data. Not without a reason, many new laws - in the EU as well as in the USA and many other regions - are being formed in order to regulate both. The European Commission has just published the EU General Data Protection Regulation (GDPR), meaning that all organizations concerned need to comply with specific rules. This Practitioner certification builds on the subjects covered by the Foundation exam by focusing on the development and implementation of policies and procedures in order to comply with existing and new legislation, application of privacy and data protection guidelines and best practices, and by establishing a Data and Privacy Protection Management System. This Practitioner level certification will be particularly useful to Data Protection Officers (DPOs) / Privacy Officers, Legal / Compliance Officers, Security Officers, Business Continuity Managers, Data Controllers, Data Protection Auditors (internal and external), Privacy Analyst and HR managers. As this is an advanced-level certification, it is highly recommended to previously have successfully passed Data Protection Foundation. |
| data lifecycle management dlm: Enabling Strategic Decision-Making in Organizations through Dataplex Siva Ganapathy, Subramanian Manoharan, Rajalakshmi Subramaniam, Sanjay Mohapatra, 2023-01-23 Enabling Strategic Decision-Making in Organizations through Dataplex breaks down the role of data in strategic decision making, examining the organizational benefits but also utilising real-world examples of limitations and challenges and how these can be overcome. |
| data lifecycle management dlm: Handbook On Smart Battery Cell Manufacturing: The Power Of Digitalization Kai Peter Birke, Max Weeber, Michael Oberle, 2022-06-09 The transformation towards electric mobility requires the highest quality mass production of battery cells. However, few research in battery cell engineering focus beyond new cell chemistries. As a consequence, there exists a huge gap between basic battery research and comparable scientific approaches to battery cell production. This handbook bridges the gap between basic electrochemical battery cell research and battery cell production approaches.To run lithium-ion battery gigafactories successfully and sustainably, high-quality battery cell production processes and systems are required. The Handbook on Smart Battery Cell Manufacturing provides a comprehensive and well-structured analysis of every aspect of the manufacturing process of smart battery cell, including upscaling battery cell production, accompanied by many instructive practical examples of the digitalization of battery products and manufacturing systems using an integrated life cycle perspective. |
| data lifecycle management dlm: HARNESSING BIG DATA Leveraging AI, ML, and Generative AI for Data-Driven Innovation Venkata Nagesh Boddapati, Vishwanadham Mandala, Gagan Kumar Patra, Fnu Samaah, ...... |
| data lifecycle management dlm: InfoWorld , 2005-06-06 InfoWorld is targeted to Senior IT professionals. Content is segmented into Channels and Topic Centers. InfoWorld also celebrates people, companies, and projects. |
| data lifecycle management dlm: Euro-Par 2006 Workshops: Parallel Processing Wolfgang Lehner, Norbert Meyer, Achim Streit, Craig Stewart, 2007-06-27 This book constitutes the thoroughly refereed joint post-proceedings of the three International Workshops on Grid Middleware, CoreGrid 2006, the UNICORE Summit 2006, and the Workshop on Petascale Computational Biology and Bioinformatics, held in Dresden, Germany, in August/September 2006, in conjunction with Euro-Par 2006, the 12th International Conference on Parallel Computing. |
| data lifecycle management dlm: Data Stewardship in Action Pui Shing Lee, 2024-02-16 Take your organization's data maturity to the next level by operationalizing data governance Key Features Develop the mindset and skills essential for successful data stewardship Apply practical advice and industry best practices, spanning data governance, quality management, and compliance, to enhance data stewardship Follow a step-by-step program to develop a data operating model and implement data stewardship effectively Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn the competitive data-centric world, mastering data stewardship is not just a requirement—it's the key to organizational success. Unlock strategic excellence with Data Stewardship in Action, your guide to exploring the intricacies of data stewardship and its implementation for maximum efficiency. From business strategy to data strategy, and then to data stewardship, this book shows you how to strategically deploy your workforce, processes, and technology for efficient data processing. You’ll gain mastery over the fundamentals of data stewardship, from understanding the different roles and responsibilities to implementing best practices for data governance. You’ll elevate your data management skills by exploring the technologies and tools for effective data handling. As you progress through the chapters, you’ll realize that this book not only helps you develop the foundational skills to become a successful data steward but also introduces innovative approaches, including leveraging AI and GPT, for enhanced data stewardship. By the end of this book, you’ll be able to build a robust data governance framework by developing policies and procedures, establishing a dedicated data governance team, and creating a data governance roadmap that ensures your organization thrives in the dynamic landscape of data management.What you will learn Enhance your job prospects by understanding the data stewardship field, roles, and responsibilities Discover how to develop a data strategy and translate it into a functional data operating model Develop an effective and efficient data stewardship program Gain practical experience of establishing a data stewardship initiative Implement purposeful governance with measurable ROI Prioritize data use cases with the value and effort matrix Who this book is for This book is for professionals working in the field of data management, including business analysts, data scientists, and data engineers looking to gain a deeper understanding of the data steward role. Senior executives who want to (re)establish the data governance body in their organizations will find this resource invaluable. While accessible to both beginners and professionals, basic knowledge of data management concepts, such as data modeling, data warehousing, and data quality, is a must to get started. |
| data lifecycle management dlm: SOFTWARE ENGINEERING JAMES, K. L., 2016 The concepts, trends and practices in different phases of software development have taken sufficient advancement from the traditional ones. With these changes, methods of developing software, system architecture, software design, software coding, software maintenance and software project management have taken new shapes. Software Engineering discusses the principles, methodologies, trends and practices associated with different phases of software engineering. Starting from the basics, the book progresses slowly to advanced and emerging topics on software project management, process models, developing methodologies, software specification, testing, quality control, deployment, software security, maintenance and software reuse. Case study is a special feature of this book that discusses real life situation of dealing with IT related problems and finding their practical solutions in an easy manner. Elegant and simple style of presentation makes reading of this book a pleasant experience.Students of Computer Science and Engineering, Information Technology and Computer Applications should find this book highly useful. It would also be useful for IT technology professionals who are interested to get acquainted with the latest and the newest technologies. |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will enable a …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels to …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
