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| certified data management professional cdmp: DAMA-DMBOK Dama International, 2017 Defining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas; Providing a functional framework for the implementation of enterprise data management practices; including widely adopted practices, methods and techniques, functions, roles, deliverables and metrics; Establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals. DAMA-DMBOK2 provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure, based on these principles: Data is an asset with unique properties; The value of data can be and should be expressed in economic terms; Managing data means managing the quality of data; It takes metadata to manage data; It takes planning to manage data; Data management is cross-functional and requires a range of skills and expertise; Data management requires an enterprise perspective; Data management must account for a range of perspectives; Data management is data lifecycle management; Different types of data have different lifecycle requirements; Managing data includes managing risks associated with data; Data management requirements must drive information technology decisions; Effective data management requires leadership commitment. |
| certified data management professional cdmp: DAMA-DMBOK Data Management Association, 2017 The second edition of DAMA International's Guide to the Data Management Body of Knowledge (DAMA-DMBOK2) updates and augments the highly successful DMBOK1. An accessible, authoritative reference book written by leading thinkers in the field and extensively reviewed by DAMA members, DMBOK2 brings together materials that comprehensively describe the challenges of data management and how to meet them by: defining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas; providing a functional framework for the implementation of enterprise data management, including the widely adopted practices, methods and techniques, functions, roles, deliverables and metrics; establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals.--Publisher description |
| certified data management professional cdmp: DAMA-DMBOK Data Management Association, Deborah Henderson, Susan Earley, 2017 |
| certified data management professional cdmp: Navigating the Labyrinth Laura Sebastian-Coleman, An Executive Guide to Data Management |
| certified data management professional cdmp: CDMP - Data Management Fundamentals Exam Questions on DMBOK2 (2nd Edition) Data Management Professor, 2021-05-20 Have you already taken a CDMP (Certified Data Management Professional) Data Management Fundamentals course from a Registered Training Provider? Or Have you self-studied using the DAMA DMBOK 2? Are you still not quite confident that you are ready to take the certification exam? If so, you've come to the right place! 290 Questions covering all the chapters of DMBOK2 as well as 2 x 100 question practice exams. Also see the dedicated notebook to assist you when studying for the CDMP Exam: https://www.amazon.com/dp/B09B46WKXJ |
| certified data management professional cdmp: The DAMA Dictionary of Data Management Dama International, 2011 A glossary of over 2,000 terms which provides a common data management vocabulary for IT and Business professionals, and is a companion to the DAMA Data Management Body of Knowledge (DAMA-DMBOK). Topics include: Analytics & Data Mining Architecture Artificial Intelligence Business Analysis DAMA & Professional Development Databases & Database Design Database Administration Data Governance & Stewardship Data Management Data Modeling Data Movement & Integration Data Quality Management Data Security Management Data Warehousing & Business Intelligence Document, Record & Content Management Finance & Accounting Geospatial Data Knowledge Management Marketing & Customer Relationship Management Meta-Data Management Multi-dimensional & OLAP Normalization Object-Orientation Parallel Database Processing Planning Process Management Project Management Reference & Master Data Management Semantic Modeling Software Development Standards Organizations Structured Query Language (SQL) XML Development |
| certified data management professional cdmp: Measuring Data Quality for Ongoing Improvement Laura Sebastian-Coleman, 2012-12-31 The Data Quality Assessment Framework shows you how to measure and monitor data quality, ensuring quality over time. You'll start with general concepts of measurement and work your way through a detailed framework of more than three dozen measurement types related to five objective dimensions of quality: completeness, timeliness, consistency, validity, and integrity. Ongoing measurement, rather than one time activities will help your organization reach a new level of data quality. This plain-language approach to measuring data can be understood by both business and IT and provides practical guidance on how to apply the DQAF within any organization enabling you to prioritize measurements and effectively report on results. Strategies for using data measurement to govern and improve the quality of data and guidelines for applying the framework within a data asset are included. You'll come away able to prioritize which measurement types to implement, knowing where to place them in a data flow and how frequently to measure. Common conceptual models for defining and storing of data quality results for purposes of trend analysis are also included as well as generic business requirements for ongoing measuring and monitoring including calculations and comparisons that make the measurements meaningful and help understand trends and detect anomalies. - Demonstrates how to leverage a technology independent data quality measurement framework for your specific business priorities and data quality challenges - Enables discussions between business and IT with a non-technical vocabulary for data quality measurement - Describes how to measure data quality on an ongoing basis with generic measurement types that can be applied to any situation |
| certified data management professional cdmp: E-Business and ERP Grant Norris, 2000-06-26 Enterprise Resource Planning (ERP) is the use of a software system that allows managers in a business to plan, see, and control a company's resources. This book aims to help enable corporations to implement new business initiatives in the e-business age. |
| certified data management professional cdmp: I Am Data! Mustafa Qizilbash, 2022-01-31 This book takes you to a Journey where most of the terms used in Data Field will be touch-based in a layman term. Focus of this book is not to technically train people rather its focus is to elaborate most of the terms used in the data field. There is no technical background required to read this book, in fact this book will be bring you to a level where you can choose whether you want to get into Data Field or not. If yes, then you can choose one or more data terms in this book to pursue as a full-time career. Another aim for this book is to become a 'Quick Reference' handbook for data folks or management who can have a quick glance to any topic before jumping into a data project meeting. 72 Terms covers in this book data warehouse, data marts, analytics, Business Intelligence, data lake, delta lake, data lakehouse, data vault, business vault, data architecture, cloud, data governance, data dictionary, data catalog, glossary, data quality, data integrity, master data, reference data, metadata, data lineage, data observability, data pipelines, CDC, real time, data security, data privacy, data encryption, data masking, data subsetting, data scraping, web scrapping, sql, nosql, data mesh, data mashup, data cardinality, canonical data model, the chasm trap, the fan trap, data swamp, data hub, data fabric, object storage, hadoop architecture, hdfs, hive, data sprawl, dark data, dormant data, data dividend, data assets, data citizens, data spread, data intuition, big data file formats, query optimization, index, partitioning, sharding, acid, base, devops, devsecops, dataops, mlops, data mining, data science, data algorithms, data classification, data clustering, data scrubbing, data cleansing, data cleaning, data dredging, data snooping, data wrangling, data munging, data visualization, data blending, data integration, data discovery, heatmap etc. |
| certified data management professional cdmp: Certified Disability Management Specialist Exam Secrets Study Guide: Cdms Test Review for the Certified Disability Management Specialist Exam Cdms Exam Secrets Test Prep, 2018-04-12 ***Includes Practice Test Questions*** Certified Disability Management Specialist Exam Secrets helps you ace the Certified Disability Management Specialist Exam, without weeks and months of endless studying. Our comprehensive Certified Disability Management Specialist Exam Secrets study guide is written by our exam experts, who painstakingly researched every topic and concept that you need to know to ace your test. Our original research reveals specific weaknesses that you can exploit to increase your exam score more than you've ever imagined. Certified Disability Management Specialist Exam Secrets includes: The 5 Secret Keys to Certified Disability Management Specialist Exam Success: Time is Your Greatest Enemy, Guessing is Not Guesswork, Practice Smarter, Not Harder, Prepare, Don't Procrastinate, Test Yourself; A comprehensive General Strategy review including: Make Predictions, Answer the Question, Benchmark, Valid Information, Avoid Fact Traps, Milk the Question, The Trap of Familiarity, Eliminate Answers, Tough Questions, Brainstorm, Read Carefully, Face Value, Prefixes, Hedge Phrases, Switchback Words, New Information, Time Management, Contextual Clues, Don't Panic, Pace Yourself, Answer Selection, Check Your Work, Beware of Directly Quoted Answers, Slang, Extreme Statements, Answer Choice Families; A comprehensive content review including: Types of Disabilities, Holistic Approach, Genetic Counseling, Transferable Skills, Multiple Sclerosis, Disability Case Manager, Worker's Disability Syndrome, Medical Terminology, Disability Management, Psychiatric Disorders, TBI, Case Management System, Basic Intervention Categories, Social Security Disability Insurance, Worksite and Job Analysis, Drug Abuse, Americans with Disabilities Act, Ergonomics, Legal Compliance, Disability Management Program, Coronary Artery Disease, Return to Work Plan, Type II Diabetes Mellitus, Confidential Information, Employee Assistance Program, Amputations, HIV Transmission, Orthoses, Retardation, and much more... |
| certified data management professional cdmp: Data Management Fundamentals (DMF) - CDMP exam preparation Paul Rakké, 1970-01-01 Besides this Data Management Fundamentals (DMF) CDMP exam preparation book, you are advised to obtain the publication the Data Management courseware based on CDMP Fundamentals - Revised edition (ISBN: 9789401811491) for your preparation for your Certified Data Management Professional (CDMP) certification. This CDMP certification based on the DAMA DMBok (Data Management Body of Knowledge) is a globally recognized credential that validates the knowledge and skills required in the field of data management.This exam preparation book is a well-balanced guide to help you pass the CDMP exam and earn your certification. All the knowledge areas as described in the related courseware and/or DAMA-DMBOK (2nd edition) of the well-known study book plus extra topics as described in the book too, will be treated with exam-like questions. The number of questions per topic can differ, depending on the weights as used in the formal exam composition. All the questions are newly defined questions by the author. Separately the correct answers and guiding explanations with references to the DAMA-DMBOK book are provided. Besides the set of questions per topic which consist of a set of 140 questions, also a set of 100 extra questions with the same weights per topic is provided to give you the opportunity to prepare yourself on the exam with this similar exam. So this 240 new questions provided in this book make your road to the CDMP certification complete. |
| certified data management professional cdmp: Affordable Excellence William A. Haseltine, 2013 Today Singapore ranks sixth in the world in healthcare outcomes well ahead of many developed countries, including the United States. The results are all the more significant as Singapore spends less on healthcare than any other high-income country, both as measured by fraction of the Gross Domestic Product spent on health and by costs per person. Singapore achieves these results at less than one-fourth the cost of healthcare in the United States and about half that of Western European countries. Government leaders, presidents and prime ministers, finance ministers and ministers of health, policymakers in congress and parliament, public health officials responsible for healthcare systems planning, finance and operations, as well as those working on healthcare issues in universities and think-tanks should know how this system works to achieve affordable excellence.--Publisher's website. |
| certified data management professional cdmp: Non-Invasive Data Governance Robert S. Seiner, 2014-09-01 Data-governance programs focus on authority and accountability for the management of data as a valued organizational asset. Data Governance should not be about command-and-control, yet at times could become invasive or threatening to the work, people and culture of an organization. Non-Invasive Data Governance™ focuses on formalizing existing accountability for the management of data and improving formal communications, protection, and quality efforts through effective stewarding of data resources. Non-Invasive Data Governance will provide you with a complete set of tools to help you deliver a successful data governance program. Learn how: • Steward responsibilities can be identified and recognized, formalized, and engaged according to their existing responsibility rather than being assigned or handed to people as more work. • Governance of information can be applied to existing policies, standard operating procedures, practices, and methodologies, rather than being introduced or emphasized as new processes or methods. • Governance of information can support all data integration, risk management, business intelligence and master data management activities rather than imposing inconsistent rigor to these initiatives. • A practical and non-threatening approach can be applied to governing information and promoting stewardship of data as a cross-organization asset. • Best practices and key concepts of this non-threatening approach can be communicated effectively to leverage strengths and address opportunities to improve. |
| certified data management professional cdmp: CDMP - Data Management Fundamentals Exam Questions on DMBOK2 Jacques Swart, 2020-09-25 Have you already taken a CDMP (Certified Data Management Professional) Data Management Fundamentals course from a Registered Training Provider?Or Have you self-studied using the DAMA DMBOK 2?Are you still not quite confident that you are ready to take the certification exam? If so, you've come to the right place!290 Questions covering all the chapters of DMBOK2 as well as 2 x 100 question practice exams. |
| certified data management professional cdmp: Ethical Data and Information Management Katherine O'Keefe, Daragh O Brien, 2018-05-03 Information and how we manage, process and govern it is becoming increasingly important as organizations ride the wave of the big data revolution. Ethical Data and Information Management offers a practical guide for people in organizations who are tasked with implementing information management projects. It sets out, in a clear and structured way, the fundamentals of ethics, and provides practical and pragmatic methods for organizations to embed ethical principles and practices into their management and governance of information. Written by global experts in the field, Ethical Data and Information Management is an important book addressing a topic high on the information management agenda. Key coverage includes how to build ethical checks and balances into data governance decision making; using quality management methods to assess and evaluate the ethical nature of processing during design; change methods to communicate ethical values; how to avoid common problems that affect ethical action; and how to make the business case for ethical behaviours. |
| certified data management professional cdmp: Business Intelligence Demystified Anoop Kumar V K, 2021-09-25 Clear your doubts about Business Intelligence and start your new journey KEY FEATURES ● Includes successful methods and innovative ideas to achieve success with BI. ● Vendor-neutral, unbiased, and based on experience. ● Highlights practical challenges in BI journeys. ● Covers financial aspects along with technical aspects. ● Showcases multiple BI organization models and the structure of BI teams. DESCRIPTION The book demystifies misconceptions and misinformation about BI. It provides clarity to almost everything related to BI in a simplified and unbiased way. It covers topics right from the definition of BI, terms used in the BI definition, coinage of BI, details of the different main uses of BI, processes that support the main uses, side benefits, and the level of importance of BI, various types of BI based on various parameters, main phases in the BI journey and the challenges faced in each of the phases in the BI journey. It clarifies myths about self-service BI and real-time BI. The book covers the structure of a typical internal BI team, BI organizational models, and the main roles in BI. It also clarifies the doubts around roles in BI. It explores the different components that add to the cost of BI and explains how to calculate the total cost of the ownership of BI and ROI for BI. It covers several ideas, including unconventional ideas to achieve BI success and also learn about IBI. It explains the different types of BI architectures, commonly used technologies, tools, and concepts in BI and provides clarity about the boundary of BI w.r.t technologies, tools, and concepts. The book helps you lay a very strong foundation and provides the right perspective about BI. It enables you to start or restart your journey with BI. WHAT YOU WILL LEARN ● Builds a strong conceptual foundation in BI. ● Gives the right perspective and clarity on BI uses, challenges, and architectures. ● Enables you to make the right decisions on the BI structure, organization model, and budget. ● Explains which type of BI solution is required for your business. ● Applies successful BI ideas. WHO THIS BOOK IS FOR This book is a must-read for business managers, BI aspirants, CxOs, and all those who want to drive the business value with data-driven insights. TABLE OF CONTENTS 1. What is Business Intelligence? 2. Why do Businesses need BI? 3. Types of Business Intelligence 4. Challenges in Business Intelligence 5. Roles in Business Intelligence 6. Financials of Business Intelligence 7. Ideas for Success with BI 8. Introduction to IBI 9. BI Architectures 10. Demystify Tech, Tools, and Concepts in BI |
| certified data management professional cdmp: Data Warehousing and E-commerce William J. Lewis, 2001 This text describes how data warehousing and e-business technologies compliment and leverage each other. This book is a resource for developing the relationship bewtween data warehousing and e-commerce. |
| certified data management professional cdmp: Software Architecture Foundation Alexander Lorz, Gernot Starke, 2021-05-25 This book covers everything you need to master the iSAQB© Certified Professional for Software Architecture - Foundation Level (CPSA-F) certification. This internationally renowned education and certification schema defines various learning path for practical software architects. This book concentrates on the foundation level examination. It explains and clarifies all 40+ learning goals of the CPSA-F© curriculum. In addition, you find step-by-step preparation guide for the examination. Please beware: This book is not meant as a replacement for existing software architecture books and courses, but strongly focusses on explaining and clarifying the iSAQB CPSA-F foundation. |
| certified data management professional cdmp: Data Management: a gentle introduction Bas van Gils, 2020-03-03 The overall objective of this book is to show that data management is an exciting and valuable capability that is worth time and effort. More specifically it aims to achieve the following goals: 1. To give a “gentle” introduction to the field of DM by explaining and illustrating its core concepts, based on a mix of theory, practical frameworks such as TOGAF, ArchiMate, and DMBOK, as well as results from real-world assignments. 2. To offer guidance on how to build an effective DM capability in an organization.This is illustrated by various use cases, linked to the previously mentioned theoretical exploration as well as the stories of practitioners in the field. The primary target groups are: busy professionals who “are actively involved with managing data”. The book is also aimed at (Bachelor’s/ Master’s) students with an interest in data management. The book is industry-agnostic and should be applicable in different industries such as government, finance, telecommunications etc. Typical roles for which this book is intended: data governance office/ council, data owners, data stewards, people involved with data governance (data governance board), enterprise architects, data architects, process managers, business analysts and IT analysts. The book is divided into three main parts: theory, practice, and closing remarks. Furthermore, the chapters are as short and to the point as possible and also make a clear distinction between the main text and the examples. If the reader is already familiar with the topic of a chapter, he/she can easily skip it and move on to the next. |
| certified data management professional cdmp: Practice Management Reference Guide - First Edition AAPC, 2020-03-16 Effectively manage the business side of medicine. Profit margin, collections, cash flow, compliance, human resources, health information, efficient business processes—the broad responsibilities and complex requirements of practice management are endless. Drop one ball in the daily juggle and the fallout can be costly. There’s never enough time, which makes it tough to stay on top of regulations and best practices. That’s where AAPC’s Practice Management Reference Guide becomes vital to your organization, providing you with one-stop access to the latest and best in practice management. From office operations to financial oversight, the Practice Management Reference Guide lays out essential guidance to help you optimize efficiency, security, and profitability. Benefit from actionable steps to streamline accounts receivable. Discover how to bring in new patients and keep the ones you have happy. Leverage real-world strategies to command payer relations, recruitment, training, employee evaluations, HIPAA, MACRA, Medicare, CDI, EHR … everything you need to ensure bountiful operations in 2020 and beyond. With the Practice Management Reference Guide, you’ll gain working knowledge covering the spectrum of practice management issues, including: Negotiating favorable payer contracts Preventing an appeals backlog Remaining audit-ready Correctly applying incident-to billing rules to maximize reimbursement Using assessment tools to evaluate your risk Preparing a risk plan and know what questions to ask Knowing how and why you should implement policies and protocols Complying with state and federal patient privacy rules |
| certified data management professional cdmp: Business Architecture Roger Burlton, 2022-02-14 Build a Business Architecture Framework to enable your organization to grow and gracefully accommodate change. The practical approach described in this book can help you as a business architect analyst or manager create reusable adaptable and manageable knowledge of your organization. Apply the full lifecycle from business strategy through implementation and identify the required knowledge domains. Convert business strategy into usable and effective business designs which optimize investment decisions. Articulate what domain knowledge (the dots) needs to be collected how these are connected and which combinations provide the greatest opportunity if corrected. The book covers the main business architecture stages of 'Define the Business' 'Design the Business' 'Build the Business' and 'Operate the Business'. Build models of the external ecosystem business stakeholders business information business processes business capabilities change prioritization and performance management systems to support your change journey. This book is an essential companion guide for new business architects and analysts and a valuable reference for experienced architects to enhance their practice. |
| certified data management professional cdmp: Data Modeling for the Business Steve Hoberman, Donna Burbank, Chris Bradley, 2009 Did you ever try getting Business and IT to agree on the project scope for a new application? Or try getting the Sales & Marketing department to agree on the target audience? Or try bringing new team members up to speed on the hundreds of tables in your data warehouse -- without them dozing off? You can be the hero in each of these and hundreds of other scenarios by building a High-Level Data Model. The High-Level Data Model is a simplified view of our complex environment. It can be a powerful communication tool of the key concepts within our application development projects, business intelligence and master data management programs, and all enterprise and industry initiatives. Learn about the High-Level Data Model and master the techniques for building one, including a comprehensive ten-step approach. Know how to evaluate toolsets for building and storing your models. Practice exercises and walk through a case study to reinforce your modelling skills. |
| certified data management professional cdmp: Developing Data Migrations and Integrations with Salesforce David Masri, 2018-12-18 Migrate your data to Salesforce and build low-maintenance and high-performing data integrations to get the most out of Salesforce and make it a go-to place for all your organization's customer information. When companies choose to roll out Salesforce, users expect it to be the place to find any and all Information related to a customer—the coveted Client 360° view. On the day you go live, users expect to see all their accounts, contacts, and historical data in the system. They also expect that data entered in other systems will be exposed in Salesforce automatically and in a timely manner. This book shows you how to migrate all your legacy data to Salesforce and then design integrations to your organization's mission-critical systems. As the Salesforce platform grows more powerful, it also grows in complexity. Whether you are migrating data to Salesforce, or integrating with Salesforce, it is important to understand how these complexities need to be reflected in your design. Developing Data Migrations and Integrations with Salesforce covers everything you need to know to migrate your data to Salesforce the right way, and how to design low-maintenance, high-performing data integrations with Salesforce. This book is written by a practicing Salesforce integration architect with dozens of Salesforce projects under his belt. The patterns and practices covered in this book are the results of the lessons learned during those projects. What You’ll Learn Know how Salesforce’s data engine is architected and why Use the Salesforce Data APIs to load and extract data Plan and execute your data migration to Salesforce Design low-maintenance, high-performing data integrations with Salesforce Understand common data integration patterns and the pros and cons of each Know real-time integration options for Salesforce Be aware of common pitfalls Build reusable transformation code covering commonly needed Salesforce transformation patterns Who This Book Is For Those tasked with migrating data to Salesforce or building ongoing data integrations with Salesforce, regardless of the ETL tool or middleware chosen; project sponsors or managers nervous about data tracks putting their projects at risk; aspiring Salesforce integration and/or migration specialists; Salesforce developers or architects looking to expand their skills and take on new challenges |
| certified data management professional cdmp: Data Governance John Ladley, 2019-11-08 Managing data continues to grow as a necessity for modern organizations. There are seemingly infinite opportunities for organic growth, reduction of costs, and creation of new products and services. It has become apparent that none of these opportunities can happen smoothly without data governance. The cost of exponential data growth and privacy / security concerns are becoming burdensome. Organizations will encounter unexpected consequences in new sources of risk. The solution to these challenges is also data governance; ensuring balance between risk and opportunity. Data Governance, Second Edition, is for any executive, manager or data professional who needs to understand or implement a data governance program. It is required to ensure consistent, accurate and reliable data across their organization. This book offers an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable. This valuable resource provides comprehensive guidance to beginning professionals, managers or analysts looking to improve their processes, and advanced students in Data Management and related courses. With the provided framework and case studies all professionals in the data governance field will gain key insights into launching successful and money-saving data governance program. - Incorporates industry changes, lessons learned and new approaches - Explores various ways in which data analysts and managers can ensure consistent, accurate and reliable data across their organizations - Includes new case studies which detail real-world situations - Explores all of the capabilities an organization must adopt to become data driven - Provides guidance on various approaches to data governance, to determine whether an organization should be low profile, central controlled, agile, or traditional - Provides guidance on using technology and separating vendor hype from sincere delivery of necessary capabilities - Offers readers insights into how their organizations can improve the value of their data, through data quality, data strategy and data literacy - Provides up to 75% brand-new content compared to the first edition |
| certified data management professional cdmp: OCP Oracle Certified Professional Java SE 11 Developer Practice Tests Scott Selikoff, Jeanne Boyarsky, 2021-02-17 NOTE: The OCP Java SE 11 Programmer I Exam 1Z0-815 and Programmer II Exam 1Z0-816 have been retired (as of October 1, 2020), and Oracle has released a new Developer Exam 1Z0-819 to replace the previous exams. The Upgrade Exam 1Z0-817 remains the same. Improve your preparation for the OCP Java SE 11 Developer exam with these comprehensive practice tests OCP Oracle Certified Professional Java SE 11 Developer Practice Tests: Exam 1Z0-819 and Upgrade Exam 1Z0-817 offers readers over 1000 practice questions to help them hone their skills for the challenging 1Z0-819 exam as well as the 1Z0-817 upgrade exam. Covering all the objective domains that help readers master the crucial subject areas covered by the exam, OCP Oracle Certified Professional Java SE 11 Developer Practice Tests provides domain-by-domain questions as well as additional bonus practice exams to further solidify the reader’s mastery of its subjects. This book covers topics like: Understanding Java Technology and Environment Working with Java Operators, Primitives, and Strings Creating Methods and Lambda Expressions Designing Classes, Interfaces, Enums, and Annotations Writing Functional Interfaces and Streams Building Modules and Migrating Applications to Modules Applying I/O, NIO.2, JDBC, Threads, and Concurrency Secure Coding in Java SE Application And much more Perfect for anyone studying for the OCP Java SE 11 Developer and Upgrade exams, as well as all those who wish to brush up on their Java programming skills, OCP Oracle Certified Professional Java SE 11 Developer Practice Tests: Exam 1Z0-819 and Upgade Exam 1Z0-817 is an indispensable resource that has a place on the bookshelf of every Java enthusiast, professional, and student. |
| certified data management professional cdmp: Healthcare Data Analytics Chandan K. Reddy, Charu C. Aggarwal, 2015-06-23 At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-related disciplines. Supplying a comprehensive overview of recent healthcare analytics research, Healthcare Data Analytics provides a clear understanding of the analytical techniques currently available |
| certified data management professional cdmp: Managing Data in Motion April Reeve, 2013-02-26 Managing Data in Motion describes techniques that have been developed for significantly reducing the complexity of managing system interfaces and enabling scalable architectures. Author April Reeve brings over two decades of experience to present a vendor-neutral approach to moving data between computing environments and systems. Readers will learn the techniques, technologies, and best practices for managing the passage of data between computer systems and integrating disparate data together in an enterprise environment. The average enterprise's computing environment is comprised of hundreds to thousands computer systems that have been built, purchased, and acquired over time. The data from these various systems needs to be integrated for reporting and analysis, shared for business transaction processing, and converted from one format to another when old systems are replaced and new systems are acquired. The management of the data in motion in organizations is rapidly becoming one of the biggest concerns for business and IT management. Data warehousing and conversion, real-time data integration, and cloud and big data applications are just a few of the challenges facing organizations and businesses today. Managing Data in Motion tackles these and other topics in a style easily understood by business and IT managers as well as programmers and architects. - Presents a vendor-neutral overview of the different technologies and techniques for moving data between computer systems including the emerging solutions for unstructured as well as structured data types - Explains, in non-technical terms, the architecture and components required to perform data integration - Describes how to reduce the complexity of managing system interfaces and enable a scalable data architecture that can handle the dimensions of Big Data |
| certified data management professional cdmp: Open Agile ArchitectureTM - A Standard of The Open Group Andrew Josey, 2020-12-18 Open Agile ArchitectureTM, a standard of The Open Group, offers an approach to architect at scale with agility. It provides guidance and best practices for Enterprise Architects seeking to transition into Agile and Digital contexts. Empowering an Enterprise to Succeed with its Digital-Agile Transformation Agile teams drive the enterprise’s Digital Transformation by inventing new business models, delivering superior customer experiences, developing digital products, and architecting highly-automated operating systems. The Open Agile Architecture Standard was designed keeping the needs of all business stakeholders in mind: • Business Leaders – to drive the enterprise’s Digital and Agile change journey • Enterprise Architects – to extend their scope of influence in an Agile at scale world • Product Managers – to help transform customer experience, innovate products, and generate growth • Product Owners – to accelerate their transformation from managing feature backlogs to steering value delivery • Operations Managers – to enable them to leverage Lean and automation to generate sustainable competitive advantages • Software Engineers – to leverage the power of digital technologies to co-innovate with the business The more Agile the enterprise, the faster the learning cycles, and faster learning cycles translate to shorter time-to-market resulting in more agility. By adopting an Open Agile Architecture approach, your organization can capitalize on this accelerated learning cycle, meaning your Agile and Digital capabilities continuously and simultaneously co-create one another. |
| certified data management professional cdmp: The CDO Journey Peter Aiken, Todd Harbour, Ed Kelly, Kathy Walter, Burt Walsh, 2020-06-12 Let the masters guide you on your Chief Data Officer (CDO) journey! The CDO is a new business role, and just starting to appear in state, local, and federal governments. Like many new roles, the CDOs responsibilities are continuously evolving and changing. Most institutions are not consistent with assigning CDO responsibilities, and this lack of standardization is of great concern. Also, some say public and private sector CDOs are dramatically different. We dont believe that. We think CDOs are more similar than dissimilar. More importantly, though, we think private and public CDOs can learn from each other. Weve created this book to help all CDOs, public and private. This book is about ideas and recommendations which have broad applicationon the shop floor, in a conference room, or even in legislative chambers. Apply our advice to smooth your ride during the CDO journey. Use our ideas and suggestions in ways that work for you, because every organization and data journey is different. These ideas are here to help you avoid some of our frustrations. We hope this can reach executives, managers, legislators, and others leading organizations to help bridge explanations of new vocabulary, ideas, and processes. Ultimately, we think this book will help you create data-centric value for your organization. |
| certified data management professional cdmp: Enterprise Architecture Made Simple Håkan Edvinsson, Lottie Aderinne, 2013-10-01 Learn how to institute and implement enterprise architecture in your organization. You can make a quick start and establish a baseline for your enterprise architecture within ten weeks, then grow and stabilize the architecture over time using the proven Ready, Set, Go Approach. Reading this book will: 1. Give you directions on how to institute and implement enterprise architecture in your organization. You will be able to build close relationships with stakeholders and delivery teams, but you will not need to micromanage the architecture’s operations. 2. Increase your awareness that enterprise architecture is about business, not information technology. 3. Enable you to initiate and facilitate dramatic business development. The architecture of an enterprise must be tolerant of currently unknown business initiatives. 4. Show you how to get a holistic view of the process of implementing enterprise architecture. 5. Make you aware that information is a key business asset and that information architecture is a key part of the enterprise architecture. 6. Allow you to learn from our experiences. This book is based on our 30 years of work in the enterprise architecture field, colleagues in Europe, customer cases, and students. We do not pretend to cover all you need to know about enterprise architecture within these pages. Rather, we give you the information that is most important for effective and successful guidance. Sometimes, less is more. If your company is about to make a major change and you are looking for a way to reduce the changes into manageable pieces—and still retain control of how they fit together—this is your handbook. Maybe you are already acting as an enterprise architect and using a formal method, but you need practical hints. Or maybe you are about to set up an enterprise architect network or group of specialists and need input on how to organize your work. The Ready-Set-Go method for introducing enterprise architecture provides you, the enterprise architect, with an immediate understanding of the basic steps for starting, organizing, and operating the entirety of your organization’s architecture. Chapter 1: Ready shows how to model and analyze your business operations, assess their current status, construct a future scenario, compare it to the current structure, analyze what you see, and show the result in a city plan. Chapter 2: Set deals with preparing for the implementation of the architecture with governance, enterprise architecture organization, staffing, etc. This is the organizing step before beginning the actual work. Chapter 3: Go establishes how to implement a city plan in practice. It deals with the practicalities of working as an enterprise architect and is called the “running” step. The common thread through all aspects of the enterprise architect’s work is the architect’s mastery of a number of tools, such as business models, process models, information models, and matrices. We address how to initiate the architecture process within the organization in such a way that the overarching enterprise architecture and architecture-driven approach can be applied methodically and gradually improved. |
| certified data management professional cdmp: Data Strategy and the Enterprise Data Executive Peter Aiken, Todd Harbour, 2017 Master a proven approach to create, implement, and sustain a data strategy. |
| certified data management professional cdmp: Data Literacy Peter Aiken, Todd Harbour, 2021-10 |
| certified data management professional cdmp: Data Quality Thomas C. Redman, 2001 Can any subject inspire less excitement than data quality? Yet a moment's thought reveals the ever-growing importance of quality data. From restated corporate earnings, to incorrect prices on the web, to the bombing of the Chinese Embassy, the media reports the impact of poor data quality on a daily basis. Every business operation creates or consumes huge quantities of data. If the data are wrong, time, money, and reputation are lost. In today's environment, every leader, every decision maker, every operational manager, every consumer, indeed everyone has a vested interest in data quality. Data Quality: The Field Guide provides the practical guidance needed to start and advance a data quality program. It motivates interest in data quality, describes the most important data quality problems facing the typical organization, and outlines what an organization must do to improve. It consists of 36 short chapters in an easy-to-use field guide format. Each chapter describes a single issue and how to address it. The book begins with sections that describe why leaders, whether CIOs, CFOs, or CEOs, should be concerned with data quality. It explains the pros and cons of approaches for addressing the issue. It explains what those organizations with the best data do. And it lays bare the social issues that prevent organizations from making headway. Field tips at the end of each chapter summarize the most important points. Allows readers to go directly to the topic of interest Provides web-based material so readers can cut and paste figures and tables into documents within their organizations Gives step-by-step instructions for applying most techniques and summarizes what works |
| certified data management professional cdmp: Data Diplomacy Håkan Edvinsson, 2019-11-30 Successful data governance requires replacing governance with diplomacy. This book is your guide to applying a lean and friendly yet proven approach to data governance and data design by leveraging your existing workforce, and allowing these data workers to create and sustain a data smart organization. Learn the diplomacy techniques and approach to align and unite the organization when facing challenges and taking on bold initiatives. Use a getting things right from start strategy for having the data correct enough to meet business needs. Become adept at facilitating business representatives to take responsibility to determine what the data should look like, what it should be called, and how it is connected. This book is primarily intended for CIO's, CDO's, chief architects, data strategists, data governance leads, and data architects. It is for anyone who is struggling with data quality, data accountability, and the concept of data as a valuable asset. It is for those who seek a second generation of data governance, when the first generation was riddled by formality or just did not take off. The book is written for those who are in the frontline of the quest for data improvement, and covers these four topics: Chapter 1 introduces the concept of data diplomacy and illustrates it through a set of real-life cases where diplomacy played a crucial part. Chapter 2 covers the four arenas for performing diplomatic data governance and describes the activities that go on in each arena. Chapter 3 details the minimum set of roles that are needed when instituting data governance using a diplomatic approach. Chapter 4 is your toolbox as the data diplomat, containing various tips and techniques including the Five Running Guys. |
| certified data management professional cdmp: The Turning Point: A Novel about Agile Architects Building a Digital Foundation Kees van den Brink, Stephanie Ramsay, Sylvain Marie, 2021-11-08 Little did Kathleen, Chief Architect at ArchiSurance, know, as she walked into a meeting with the CIO, just how much her job was going to change. Her intention had been to get approval for some new ideas she’d had to strengthen their Enterprise Architecture, after having slowly lost a grip on it during the merger. During the meeting, however, it becomes apparent that the transformation of the organization to become more digital has caused chaos, and not only for her team. It is clear, despite all good intentions, that the transformation is failing. By the end of the meeting, she has agreed to help turn the situation around. After leading the initial reset of the Digital Transformation, Kathleen is suddenly the owner of the implementation. What follows is a journey of the typical problems faced by companies as they make decisions to deploy digital technologies. Kathleen proceeds to solve one problem after the other using guidance from the open digital standards of The Open Group to lay the foundation for deploying quality digital technology solutions at a faster pace. |
| certified data management professional cdmp: Data Strategy WALLIS, 2021-07-02 A well thought out, fit-for-purpose data strategy is essential to modern data-driven businesses. This book is a practical guide to planning, developing and implementing such a strategy, presenting a framework which takes you from data strategy definition to successful strategy delivery and execution with support and engagement from stakeholders. Key topics include data-driven business transformation, change enablers, benefits realisation and measurement. Case studies, example scenarios and reader questions throughout the book are designed to stimulate real-world thinking and help you put the framework into practice in the context of your own organisation. |
| certified data management professional cdmp: The Data Model Resource Book, Volume 1 Len Silverston, 2011-08-08 A quick and reliable way to build proven databases for core business functions Industry experts raved about The Data Model Resource Book when it was first published in March 1997 because it provided a simple, cost-effective way to design databases for core business functions. Len Silverston has now revised and updated the hugely successful 1st Edition, while adding a companion volume to take care of more specific requirements of different businesses. This updated volume provides a common set of data models for specific core functions shared by most businesses like human resources management, accounting, and project management. These models are standardized and are easily replicated by developers looking for ways to make corporate database development more efficient and cost effective. This guide is the perfect complement to The Data Model Resource CD-ROM, which is sold separately and provides the powerful design templates discussed in the book in a ready-to-use electronic format. A free demonstration CD-ROM is available with each copy of the print book to allow you to try before you buy the full CD-ROM. |
| certified data management professional cdmp: Fighting Churn with Data Carl S. Gold, 2020-12-22 The beating heart of any product or service business is returning clients. Don't let your hard-won customers vanish, taking their money with them. In Fighting Churn with Data you'll learn powerful data-driven techniques to maximize customer retention and minimize actions that cause them to stop engaging or unsubscribe altogether. Summary The beating heart of any product or service business is returning clients. Don't let your hard-won customers vanish, taking their money with them. In Fighting Churn with Data you'll learn powerful data-driven techniques to maximize customer retention and minimize actions that cause them to stop engaging or unsubscribe altogether. This hands-on guide is packed with techniques for converting raw data into measurable metrics, testing hypotheses, and presenting findings that are easily understandable to non-technical decision makers. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Keeping customers active and engaged is essential for any business that relies on recurring revenue and repeat sales. Customer turnover—or “churn”—is costly, frustrating, and preventable. By applying the techniques in this book, you can identify the warning signs of churn and learn to catch customers before they leave. About the book Fighting Churn with Data teaches developers and data scientists proven techniques for stopping churn before it happens. Packed with real-world use cases and examples, this book teaches you to convert raw data into measurable behavior metrics, calculate customer lifetime value, and improve churn forecasting with demographic data. By following Zuora Chief Data Scientist Carl Gold’s methods, you’ll reap the benefits of high customer retention. What's inside Calculating churn metrics Identifying user behavior that predicts churn Using churn reduction tactics with customer segmentation Applying churn analysis techniques to other business areas Using AI for accurate churn forecasting About the reader For readers with basic data analysis skills, including Python and SQL. About the author Carl Gold (PhD) is the Chief Data Scientist at Zuora, Inc., the industry-leading subscription management platform. Table of Contents: PART 1 - BUILDING YOUR ARSENAL 1 The world of churn 2 Measuring churn 3 Measuring customers 4 Observing renewal and churn PART 2 - WAGING THE WAR 5 Understanding churn and behavior with metrics 6 Relationships between customer behaviors 7 Segmenting customers with advanced metrics PART 3 - SPECIAL WEAPONS AND TACTICS 8 Forecasting churn 9 Forecast accuracy and machine learning 10 Churn demographics and firmographics 11 Leading the fight against churn |
| certified data management professional cdmp: People Over Profit Dale Partridge, 2015-05-05 Serial entrepreneur and business visionary Dale Partridge reveals seven core beliefs that create success by putting people first. Every day major headlines tell the story of a new and better American marketplace. Established corporations have begun reevaluating the quality of their products, the ethics of their supply chain, and how they can give back by donating a portion of their profit to meaningful causes. Meanwhile, millions of entrepreneurs who want a more responsible and compassionate marketplace have launched a new breed of socially focused business models. Sevenly founder Dale Partridge uncovers the seven core beliefs shared by consumers, starters, and leaders behind this transformation. These beliefs have enabled Dale to build a multimillion-dollar company that is revolutionizing the marketplace In People Over Profit, Partridge will help you realize: People matter Truth wins Transparency frees Authenticity attracts Quality speaks Generosity returns Courage sustains Partridge believes these beliefs are the secret to creating a sustainable world that values honesty over deception, transparency over secrecy, authenticity over hype, and ultimately, people over profit. |
| certified data management professional cdmp: Executing Data Quality Projects Danette McGilvray, 2021-05-27 Executing Data Quality Projects, Second Edition presents a structured yet flexible approach for creating, improving, sustaining and managing the quality of data and information within any organization. Studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions. Help is here! This book describes a proven Ten Step approach that combines a conceptual framework for understanding information quality with techniques, tools, and instructions for practically putting the approach to work – with the end result of high-quality trusted data and information, so critical to today's data-dependent organizations. The Ten Steps approach applies to all types of data and all types of organizations – for-profit in any industry, non-profit, government, education, healthcare, science, research, and medicine. This book includes numerous templates, detailed examples, and practical advice for executing every step. At the same time, readers are advised on how to select relevant steps and apply them in different ways to best address the many situations they will face. The layout allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, best practices, and warnings. The experience of actual clients and users of the Ten Steps provide real examples of outputs for the steps plus highlighted, sidebar case studies called Ten Steps in Action. This book uses projects as the vehicle for data quality work and the word broadly to include: 1) focused data quality improvement projects, such as improving data used in supply chain management, 2) data quality activities in other projects such as building new applications and migrating data from legacy systems, integrating data because of mergers and acquisitions, or untangling data due to organizational breakups, and 3) ad hoc use of data quality steps, techniques, or activities in the course of daily work. The Ten Steps approach can also be used to enrich an organization's standard SDLC (whether sequential or Agile) and it complements general improvement methodologies such as six sigma or lean. No two data quality projects are the same but the flexible nature of the Ten Steps means the methodology can be applied to all. The new Second Edition highlights topics such as artificial intelligence and machine learning, Internet of Things, security and privacy, analytics, legal and regulatory requirements, data science, big data, data lakes, and cloud computing, among others, to show their dependence on data and information and why data quality is more relevant and critical now than ever before. - Includes concrete instructions, numerous templates, and practical advice for executing every step of The Ten Steps approach - Contains real examples from around the world, gleaned from the author's consulting practice and from those who implemented based on her training courses and the earlier edition of the book - Allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, and best practices - A companion Web site includes links to numerous data quality resources, including many of the templates featured in the text, quick summaries of key ideas from the Ten Steps methodology, and other tools and information that are available online |
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