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| business rules database examples: Database Design for Mere Mortals Michael James Hernandez, 2003 This book takes the somewhat daunting process of database design and breaks it into completely manageable and understandable components. Mike's approach whilst simple is completely professional, and I can recommend this book to any novice database designer. --Sandra Barker, Lecturer, University of South Australia, Australia Databases are a critical infrastructure technology for information systems and today's business. Mike Hernandez has written a literate explanation of database technology--a topic that is intricate and often obscure. If you design databases yourself, this book will educate you about pitfalls and show you what to do. If you purchase products that use a database, the book explains the technology so that you can understand what the vendor is doing and assess their products better. --Michael Blaha, consultant and trainer, author of A Manager's Guide to Database Technology If you told me that Mike Hernandez could improve on the first edition of Database Design for Mere Mortals I wouldn't have believed you, but he did! The second edition is packed with more real-world examples, detailed explanations, and even includes database-design tools on the CD-ROM! This is a must-read for anyone who is even remotely interested in relational database design, from the individual who is called upon occasionally to create a useful tool at work, to the seasoned professional who wants to brush up on the fundamentals. Simply put, if you want to do it right, read this book! --Matt Greer, Process Control Development, The Dow Chemical Company Mike's approach to database design is totally common-sense based, yet he's adhered to all the rules of good relational database design. I use Mike's books in my starter database-design class, and I recommend his books to anyone who's interested in learning how to design databases or how to write SQL queries. --Michelle Poolet, President, MVDS, Inc. Slapping together sophisticated applications with poorly designed data will hurt you just as much now as when Mike wrote his first edition, perhaps even more. Whether you're just getting started developing with data or are a seasoned pro; whether you've read Mike's previous book or this is your first; whether you're happier letting someone else design your data or you love doing it yourself--this is the book for you. Mike's ability to explain these concepts in a way that's not only clear, but fun, continues to amaze me. --From the Foreword by Ken Getz, MCW Technologies, coauthor ASP.NET Developer's JumpStart The first edition of Mike Hernandez's book Database Design for Mere Mortals was one of the few books that survived the cut when I moved my office to smaller quarters. The second edition expands and improves on the original in so many ways. It is not only a good, clear read, but contains a remarkable quantity of clear, concise thinking on a very complex subject. It's a must for anyone interested in the subject of database design. --Malcolm C. Rubel, Performance Dynamics Associates Mike's excellent guide to relational database design deserves a second edition. His book is an essential tool for fledgling Microsoft Access and other desktop database developers, as well as for client/server pros. I recommend it highly to all my readers. --Roger Jennings, author of Special Edition Using Access 2002 There are no silver bullets! Database technology has advanced dramatically, the newest crop of database servers perform operations faster than anyone could have imagined six years ago, but none of these technological advances will help fix a bad database design, or capture data that you forgot to include! Database Design for Mere Mortals(TM), Second Edition, helps you design your database right in the first place! --Matt Nunn, Product Manager, SQL Server, Microsoft Corporation When my brother started his professional career as a developer, I gave him Mike's book to help him understand database concepts and make real-world application of database technology. When I need a refresher on the finer points of database design, this is the book I pick up. I do not think that there is a better testimony to the value of a book than that it gets used. For this reason I have wholeheartedly recommended to my peers and students that they utilize this book in their day-to-day development tasks. --Chris Kunicki, Senior Consultant, OfficeZealot.com Mike has always had an incredible knack for taking the most complex topics, breaking them down, and explaining them so that anyone can 'get it.' He has honed and polished his first very, very good edition and made it even better. If you're just starting out building database applications, this book is a must-read cover to cover. Expert designers will find Mike's approach fresh and enlightening and a source of great material for training others. --John Viescas, President, Viescas Consulting, Inc., author of Running Microsoft Access 2000 and coauthor of SQL Queries for Mere Mortals Whether you need to learn about relational database design in general, design a relational database, understand relational database terminology, or learn best practices for implementing a relational database, Database Design for Mere Mortals(TM), Second Edition, is an indispensable book that you'll refer to often. With his many years of real-world experience designing relational databases, Michael shows you how to analyze and improve existing databases, implement keys, define table relationships and business rules, and create data views, resulting in data integrity, uniform access to data, and reduced data-entry errors. --Paul Cornell, Site Editor, MSDN Office Developer Center Sound database design can save hours of development time and ensure functionality and reliability. Database Design for Mere Mortals(TM), Second Edition, is a straightforward, platform-independent tutorial on the basic principles of relational database design. It provides a commonsense design methodology for developing databases that work. Database design expert Michael J. Hernandez has expanded his best-selling first edition, maintaining its hands-on approach and accessibility while updating its coverage and including even more examples and illustrations. This edition features a CD-ROM that includes diagrams of sample databases, as well as design guidelines, documentation forms, and examples of the database design process. This book will give you the knowledge and tools you need to create efficient and effective relational databases. |
| business rules database examples: Writing Effective Business Rules Graham Witt, 2012-01-27 The world of rules -- How rules work -- A brief history of rules -- Types of rules -- The building blocks of natural language rule statements -- Fact Models -- How to write quality natural language rule statements -- An end-to-end rule management methodology -- Rule statement templates and subtemplates. |
| business rules database examples: How to Build a Business Rules Engine Malcolm Chisholm, 2004 Demonstrating how to develop a business rules engine, this guide covers user requirements, data modelling, metadata and more. A sample application is used throughout the book to illustrate concepts. The text includes conceptual overview chapters suitable for management-level readers, including a general introduction, business justification, development and implementation considerations and more. Demonstrating how to develop a business rules engine, this guide covers user requirements, data modelling and metadata. It includes conceptual overview chapters suitable for management-level readers, a general introduction, business justification, development and implementation considerations. |
| business rules database examples: Building a Scalable Data Warehouse with Data Vault 2.0 Daniel Linstedt, Michael Olschimke, 2015-09-15 The Data Vault was invented by Dan Linstedt at the U.S. Department of Defense, and the standard has been successfully applied to data warehousing projects at organizations of different sizes, from small to large-size corporations. Due to its simplified design, which is adapted from nature, the Data Vault 2.0 standard helps prevent typical data warehousing failures. Building a Scalable Data Warehouse covers everything one needs to know to create a scalable data warehouse end to end, including a presentation of the Data Vault modeling technique, which provides the foundations to create a technical data warehouse layer. The book discusses how to build the data warehouse incrementally using the agile Data Vault 2.0 methodology. In addition, readers will learn how to create the input layer (the stage layer) and the presentation layer (data mart) of the Data Vault 2.0 architecture including implementation best practices. Drawing upon years of practical experience and using numerous examples and an easy to understand framework, Dan Linstedt and Michael Olschimke discuss: - How to load each layer using SQL Server Integration Services (SSIS), including automation of the Data Vault loading processes. - Important data warehouse technologies and practices. - Data Quality Services (DQS) and Master Data Services (MDS) in the context of the Data Vault architecture. - Provides a complete introduction to data warehousing, applications, and the business context so readers can get-up and running fast - Explains theoretical concepts and provides hands-on instruction on how to build and implement a data warehouse - Demystifies data vault modeling with beginning, intermediate, and advanced techniques - Discusses the advantages of the data vault approach over other techniques, also including the latest updates to Data Vault 2.0 and multiple improvements to Data Vault 1.0 |
| business rules database examples: Business Rules Applied Barbara von Halle, 2001-10-17 From a bestselling author and expert--a soon-to-be classic on application development Representing a significant change of focus in software engineering, the business rule approach to application development benefits all decision makers. Managers looking to take advantage of new opportunities will turn to business rules to implement change. IT has already learned the benefits of separating data by processing and managing data as an independent component of systems. A rules-extended development approach does exactly the same thing for business rules: by reducing the amount of code that needs to be written, it shortens the time necessary to implement change. Bestselling author Barbara von Halle (The Handbook of Relational Database Design from Addison Wesley) presents the first book to show in practical, real-world terms how to build applications using business rule concepts and techniques. This authoritative guide will give readers: o Complete guidance for system designers and database managers o The motivation for using the business rule approach o Techniques for discovering and managing rules o Guidance on how to conduct rule analysis o Steps for designing the implementation options of the rules, as well as designing workflow and database components |
| business rules database examples: Foundation Db2 and Python W. David Ashley, 2021 Work with Db2 to write SQL and access databases using optimized code for the fastest response. This book will give you complete documentation on DB2 via Python for the IBM_db module and provide a number of examples for the usage of each module API. Begin by getting your free version of Db2 for Linux and Windows. While the book concentrates more on the Linux version of Db2, it also covers enough of the Windows version so that you're comfortable with obtaining and installing Db2 on your version of Windows. Next, you'll see how to install the sample database that comes with Db2, and take some data from the web to design a database around it, including tables and indexes. For Db2 to be really useful you need to use strong SQL expressions. This book provides specific examples of how to avoid using poor ones that can cause extra processing time for the query. Lastly, you'll look at each API in the ibm_db and ibm_db_dbi module. This module is not sponsored by IBM and must be installed separately from the Db2 database. After reading Foundation Db2 and Python you'll be able to install Db2 on Windows or Linux, and perform backups and restore data. You will: Obtain and install Db2 properly on Linux and Windows Create databases and load them on Db2 Work with ibm_db and ibm_db_dbi API modules for Python Write SQL for Db2 Review the future of the ibm_db Python module . |
| business rules database examples: The Decision Model Barbara von Halle, Larry Goldberg, 2009-10-27 In the current fast-paced and constantly changing business environment, it is more important than ever for organizations to be agile, monitor business performance, and meet with increasingly stringent compliance requirements. Written by pioneering consultants and bestselling authors with track records of international success, The Decision Model: A |
| business rules database examples: The Business Rule Revolution Barbara Von Halle, Larry Goldberg, 2006 Learn from experts who share a step-by-step method how to justify and manage the ROI for the BR Approach. |
| business rules database examples: What Not how C. J. Date, 2000 What I think Date has done is nothing less than to lay out the foundational concepts for the next generation of business logic servers based on predicate logic. Such a breakthrough should revolutionize application development in our industry--and take business rules to their fullest expression. --Ronald G. Ross, Principal, Business Rule Solutions, LLC Executive Editor, DataToKnowledge Newsletter The way we build computer applications is about to change dramatically, thanks to a new development technology known as business rules. The key idea behind the technology is that we can build applications declaratively instead of procedurally--that is, we can simply state WHAT needs to be done instead of HOW to do what needs to be done. The advantages are obvious: ease and rapidity of initial development and subsequent maintenance, hardware and software platform independence, overall productivity, business adaptivity, and more. What Not How: The Business Rules Approach to Application Development is a concise and accessible introduction to this new technology. It is written for both managers and technical professionals. The book consists of two parts: Part I presents a broad overview of what business rules are all about; Part II then revisits the ideas in Part I and shows how they fit squarely into the solid tradition of relational technology. Topics covered include: Presentation rules Database and application rules Building on the data model Potential advantages and disadvantages A new look at relational fundamentals Business rules and the relational model Overall, the book provides a good grounding in an important new technology, one poised to transform the way we do business in the IT world. 0201708507B04062001 |
| business rules database examples: ServiceNow: Building Powerful Workflows Tim Woodruff, Ashish Rudra Srivastava, Martin Wood, 2017-08-17 Master the management of IT Service using full potential of ServiceNow. About This Book Leverage ServiceNow's capabilities to achieve improved service management and excellent results in your IT operations by following step-by-step, practical instructions Build core administration, management, and maintenance skills with IT service management and IT operations management Improve your workflow efficiency by designing and creating responsive and automated workflows Who This Book Is For This course is for IT professionals, ServiceNow administrators, and developers who would like to gain greater control of ServiceNow and its architecture to design and create automated workflows. You should be familiar with JavaScript and basic computing technologies, but you can be new to ServiceNow. What You Will Learn Acquire and configure your own free personal developer instance of ServiceNow Read (and write!) clear, effective requirements for ServiceNow development Avoid common pitfalls and missteps that could seriously impact future progress and upgradeability Use the ServiceNow plugins to manage development Build and publish custom applications for service management Write efficient and effective client-side JavaScript Find out how to authenticate and secure Web Services Integrate and exchange data with people and systems Create and secure your systems with proper access control In Detail ServiceNow is a SaaS application that provides workflow form-based applications. It is an ideal platform for creating enterprise-level applications, giving requesters and fulfillers improved visibility and access to a process. ServiceNow-based applications often replace email by providing a better way to get work done. This course will show you how to put important ServiceNow features to work in the real world. We will introduce key concepts and examples on managing and automating IT services, and help you build a solid foundation towards this new approach. You will then learn more about the power of tasks, events, and notifications. We'll then focus on using web services and other mechanisms to integrate ServiceNow with other systems. Further on, you'll learn how to secure applications and data, and understand how ServiceNow performs logging and error reporting. At the end of this course, you will acquire immediately applicable skills to rectify everyday problems encountered on the ServiceNow platform. The course provides you with highly practical content explaining ServiceNow from the following Packt books: Learning ServiceNow ServiceNow Cookbook Mastering ServiceNow, Second Edition Style and approach This pragmatic guide follows problem-solution based approach to help you configure the ServiceNow and eliminate the challenges faced when implementing and using ServiceNow. It enables you to configure and manage ServiceNow, and learn the fundamentals of the ServiceNow platform. |
| business rules database examples: Agile Business Rule Development Jérôme Boyer, Hafedh Mili, 2011-03-23 Business rules are everywhere. Every enterprise process, task, activity, or function is governed by rules. However, some of these rules are implicit and thus poorly enforced, others are written but not enforced, and still others are perhaps poorly written and obscurely enforced. The business rule approach looks for ways to elicit, communicate, and manage business rules in a way that all stakeholders can understand, and to enforce them within the IT infrastructure in a way that supports their traceability and facilitates their maintenance. Boyer and Mili will help you to adopt the business rules approach effectively. While most business rule development methodologies put a heavy emphasis on up-front business modeling and analysis, agile business rule development (ABRD) as introduced in this book is incremental, iterative, and test-driven. Rather than spending weeks discovering and analyzing rules for a complete business function, ABRD puts the emphasis on producing executable, tested rule sets early in the project without jeopardizing the quality, longevity, and maintainability of the end result. The authors’ presentation covers all four aspects required for a successful application of the business rules approach: (1) foundations, to understand what business rules are (and are not) and what they can do for you; (2) methodology, to understand how to apply the business rules approach; (3) architecture, to understand how rule automation impacts your application; (4) implementation, to actually deliver the technical solution within the context of a particular business rule management system (BRMS). Throughout the book, the authors use an insurance case study that deals with claim processing. Boyer and Mili cater to different audiences: Project managers will find a pragmatic, proven methodology for delivering and maintaining business rule applications. Business analysts and rule authors will benefit from guidelines and best practices for rule discovery and analysis. Application architects and software developers will appreciate an exploration of the design space for business rule applications, proven architectural and design patterns, and coding guidelines for using JRules. |
| business rules database examples: Business Rules Management and Service Oriented Architecture Ian Graham, 2007-02-06 Business rules management system (BRMS) is a software tools that work alongside enterprise IT applications. It enables enterprises to automate decision-making processes typically consisting of separate business rules authoring and rules execution applications. This proposed title brings together the following key ideas in modern enterprise system development best practice. The need for service-oriented architecture (SOA). How the former depends on component-based development (CBD). Database-centred approaches to business rules (inc. GUIDES). Knowledge-based approaches to business rules. Using patterns to design and develop business rules management systems Ian Graham is an industry consultant with over 20 years. He is recognized internationally as an authority on business modelling, object-oriented software development methods and expert systems. He has a significant public presence, being associated with both UK and international professional organizations, and is frequently quoted in the IT and financial press. |
| business rules database examples: Data Modeling for Quality Graham Witt, 2021-01-20 This book is for all data modelers, data architects, and database designers―be they novices who want to learn what's involved in data modeling, or experienced modelers who want to brush up their skills. A novice will not only gain an overview of data modeling, they will also learn how to follow the data modeling process, including the activities required for each step. The experienced practitioner will discover (or rediscover) techniques to ensure that data models accurately reflect business requirements. This book describes rigorous yet easily implemented approaches to: modeling of business information requirements for review by business stakeholders before development of the logical data model normalizing data, based on simple questions rather than the formal definitions which many modelers find intimidating naming and defining concepts and attributes modeling of time-variant data documenting business rules governing both the real world and data data modeling in an Agile project managing data model change in any type of project transforming a business information model to a logical data model against which developers can code implementing the logical data model in a traditional relational DBMS, an SQL:2003-compliant DBMS, an object-relational DBMS, or in XML. Part 1 describes business information models in-depth, including: the importance of modeling business information requirements before embarking on a logical data model business concepts (entity classes) attributes of business concepts attribute classes as an alternative to DBMS data types relationships between business concepts time-variant data generalization and specialization of business concepts naming and defining the components of the business information model business rules governing data, including a distinction between real-world rules and data rules. Part 2 journeys from requirements to a working data resource, covering: sourcing data requirements developing the business information model communicating it to business stakeholders for review, both as diagrams and verbally managing data model change transforming the business information model into a logical data model of stored data for implementation in a relational or object-relational DBMS attribute value representation and data constraints (important but often overlooked) modeling data vault, dimensional and XML data. |
| business rules database examples: Business Rule Concepts Ronald G. Ross, 2009 Is your current approach really working?. Are you sure you are addressing the right problems in the right ways?. Take a few hours to read about the most fundamental innovation in business operations and business computing in decades. It is not just about IT any more!. Decisioning, Requirements, Governance, Knowledge. Radical in its simplicity, this concise, easy-to-read handbook presents a groundbreaking, common-sense approach to solving today's operational business problems. Find out why current IT methods have broken down and no longer scale. Written by the father of business rules, here are proven answers. Get your company on the road to true agility!. New this Edition : Decisioning, Capturing best practices, Enterprise design, Really smart systems, Building business vocabularies, Structured verbalization for business communication, Applied semantics and concept analysis, Re-engineering governance. Introducing: General Rulebook Systems (GRBS), Plus all you need to know about: Business rules, Forms of business guidance, Fact models, Applying SBVR, Innovations in compliance, More effective process models, Pragmatic knowledge retention, Rule management. |
| business rules database examples: Decision Management Systems James Taylor, 2011-10-13 A very rich book sprinkled with real-life examples as well as battle-tested advice.” —Pierre Haren, VP ILOG, IBM James does a thorough job of explaining Decision Management Systems as enablers of a formidable business transformation.” —Deepak Advani, Vice President, Business Analytics Products and SPSS, IBM Build Systems That Work Actively to Help You Maximize Growth and Profits Most companies rely on operational systems that are largely passive. But what if you could make your systems active participants in optimizing your business? What if your systems could act intelligently on their own? Learn, not just report? Empower users to take action instead of simply escalating their problems? Evolve without massive IT investments? Decision Management Systems can do all that and more. In this book, the field’s leading expert demonstrates how to use them to drive unprecedented levels of business value. James Taylor shows how to integrate operational and analytic technologies to create systems that are more agile, more analytic, and more adaptive. Through actual case studies, you’ll learn how to combine technologies such as predictive analytics, optimization, and business rules—improving customer service, reducing fraud, managing risk, increasing agility, and driving growth. Both a practical how-to guide and a framework for planning, Decision Management Systems focuses on mainstream business challenges. Coverage includes Understanding how Decision Management Systems can transform your business Planning your systems “with the decision in mind” Identifying, modeling, and prioritizing the decisions you need to optimize Designing and implementing robust decision services Monitoring your ongoing decision-making and learning how to improve it Proven enablers of effective Decision Management Systems: people, process, and technology Identifying and overcoming obstacles that can derail your Decision Management Systems initiative |
| business rules database examples: Data Modeling Essentials Graeme Simsion, Graham Witt, 2004-12-03 Data Modeling Essentials, Third Edition, covers the basics of data modeling while focusing on developing a facility in techniques, rather than a simple familiarization with the rules. In order to enable students to apply the basics of data modeling to real models, the book addresses the realities of developing systems in real-world situations by assessing the merits of a variety of possible solutions as well as using language and diagramming methods that represent industry practice. This revised edition has been given significantly expanded coverage and reorganized for greater reader comprehension even as it retains its distinctive hallmarks of readability and usefulness. Beginning with the basics, the book provides a thorough grounding in theory before guiding the reader through the various stages of applied data modeling and database design. Later chapters address advanced subjects, including business rules, data warehousing, enterprise-wide modeling and data management. It includes an entirely new section discussing the development of logical and physical modeling, along with new material describing a powerful technique for model verification. It also provides an excellent resource for additional lectures and exercises. This text is the ideal reference for data modelers, data architects, database designers, DBAs, and systems analysts, as well as undergraduate and graduate-level students looking for a real-world perspective. - Thorough coverage of the fundamentals and relevant theory - Recognition and support for the creative side of the process - Expanded coverage of applied data modeling includes new chapters on logical and physical database design - New material describing a powerful technique for model verification - Unique coverage of the practical and human aspects of modeling, such as working with business specialists, managing change, and resolving conflict |
| business rules database examples: SQL in a Nutshell Kevin Kline, Brand Hunt, Daniel Kline, 2004-09-24 SQL in a Nutshell applies the eminently useful Nutshell format to Structured Query Language (SQL), the elegant--but complex--descriptive language that is used to create and manipulate large stores of data. For SQL programmers, analysts, and database administrators, the new second edition of SQL in a Nutshell is the essential date language reference for the world's top SQL database products. SQL in a Nutshell is a lean, focused, and thoroughly comprehensive reference for those who live in a deadline-driven world.This invaluable desktop quick reference drills down and documents every SQL command and how to use it in both commercial (Oracle, DB2, and Microsoft SQL Server) and open source implementations (PostgreSQL, and MySQL). It describes every command and reference and includes the command syntax (by vendor, if the syntax differs across implementations), a clear description, and practical examples that illustrate important concepts and uses. And it also explains how the leading commercial and open sources database product implement SQL. This wealth of information is packed into a succinct, comprehensive, and extraordinarily easy-to-use format that covers the SQL syntax of no less than 4 different databases.When you need fast, accurate, detailed, and up-to-date SQL information, SQL in a Nutshell, Second Edition will be the quick reference you'll reach for every time. SQL in a Nutshell is small enough to keep by your keyboard, and concise (as well as clearly organized) enough that you can look up the syntax you need quickly without having to wade through a lot of useless fluff. You won't want to work on a project involving SQL without it. |
| business rules database examples: Building Business Solutions Ronald G. Ross, Gladys S. W. Lam, 2011 |
| business rules database examples: Business Process Driven Database Design with Oracle PL/SQL (Edition II) Rajeev Kaula, 2021-03-12 Business Process driven Database Design with Oracle PL/SQL (Edition II) extends the previous edition with updated content along with review questions and problem-solving exercises. A new database has been added to provide more problem-solving skills. The textbook embraces a fresh approach to database design that is rooted in the concept of business process. Such a database design approach ensures a more robust and integrated database structure that is more closely aligned with business goals and objectives. The textbook extends the understanding of database beyond standalone SQL through the integration of business logic with database design thereby enabling better support for enterprise applications. The incorporation of business logic facilitates the threading of SQL with logic constructs that provide a richer understanding of database manipulation and utilization. This book is for anyone (beginner, student, or professional) who desires to understand database design in a way that is more business-oriented. It can be used as a textbook in a level 1 or level 2 database design course. The book covers essential concepts of business process modeling with business rules, conceptual modeling with ER diagrams, relational model with SQL, and Oracle PL/SQL language to ensure proper implementation of business logic. The topics are explained in a simplified way through tutorials and numerous examples for a reader to quickly grasp the material followed by problem-solving exercises. It is written in a hands-on style for anyone to learn the basics of database design. The book also provides the SQL and PL/SQL source for anyone to install the book databases and practice examples to gain an understanding of various concepts. Upon completion readers will have learned the art of database design and have the skills to express it through SQL and PL/SQL. |
| business rules database examples: Principles of the Business Rule Approach Ronald G. Ross, 2003 The idea of Business Rules has been around for a while. Simply put, a Business Rule is a statement that defines or constrains some aspect of the business. In practice they are meant to reduce or eliminate the delays, waste, and frustration associated with the IT department having to be involved with almost every action affecting an organization's information systems. The advent of Web services has created renewed interest in them. There are now several well established rules-based products that have demonstrated the effectiveness of their use. But until now there has not been a definitive guide to Business Rules. Ron Ross, considered to be the father of Business Rules, will help organizations apply this powerful solution to their own computer system problems. This book is intended to be the first book that anyone from an IT manager to a business manager will read to understand what Business Rules are, and what how they can be applied to their own situation. |
| business rules database examples: Data Architecture: A Primer for the Data Scientist W.H. Inmon, Daniel Linstedt, Mary Levins, 2019-04-30 Over the past 5 years, the concept of big data has matured, data science has grown exponentially, and data architecture has become a standard part of organizational decision-making. Throughout all this change, the basic principles that shape the architecture of data have remained the same. There remains a need for people to take a look at the bigger picture and to understand where their data fit into the grand scheme of things. Data Architecture: A Primer for the Data Scientist, Second Edition addresses the larger architectural picture of how big data fits within the existing information infrastructure or data warehousing systems. This is an essential topic not only for data scientists, analysts, and managers but also for researchers and engineers who increasingly need to deal with large and complex sets of data. Until data are gathered and can be placed into an existing framework or architecture, they cannot be used to their full potential. Drawing upon years of practical experience and using numerous examples and case studies from across various industries, the authors seek to explain this larger picture into which big data fits, giving data scientists the necessary context for how pieces of the puzzle should fit together. - New case studies include expanded coverage of textual management and analytics - New chapters on visualization and big data - Discussion of new visualizations of the end-state architecture |
| business rules database examples: 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. |
| business rules database examples: Patterns for Effective Use Cases Steve Adolph, Paul Bramble, 2003 Simple, elegant, and proven solutions to the specific problems of writing use cases on real projects, this workbook has 36 specific guidelines that readers can use to measure the quality of their use cases. This is the first book to specifically address use cases with the proven and popular development concept of patterns. |
| business rules database examples: The Privacy Engineer's Manifesto Michelle Dennedy, Jonathan Fox, Tom Finneran, 2014-03-04 It's our thesis that privacy will be an integral part of the next wave in the technology revolution and that innovators who are emphasizing privacy as an integral part of the product life cycle are on the right track. --The authors of The Privacy Engineer's Manifesto The Privacy Engineer's Manifesto: Getting from Policy to Code to QA to Value is the first book of its kind, offering industry-proven solutions that go beyond mere theory and adding lucid perspectives on the challenges and opportunities raised with the emerging personal information economy. The authors, a uniquely skilled team of longtime industry experts, detail how you can build privacy into products, processes, applications, and systems. The book offers insight on translating the guiding light of OECD Privacy Guidelines, the Fair Information Practice Principles (FIPPs), Generally Accepted Privacy Principles (GAPP) and Privacy by Design (PbD) into concrete concepts that organizations, software/hardware engineers, and system administrators/owners can understand and apply throughout the product or process life cycle—regardless of development methodology—from inception to retirement, including data deletion and destruction. In addition to providing practical methods to applying privacy engineering methodologies, the authors detail how to prepare and organize an enterprise or organization to support and manage products, process, systems, and applications that require personal information. The authors also address how to think about and assign value to the personal information assets being protected. Finally, the team of experts offers thoughts about the information revolution that has only just begun, and how we can live in a world of sensors and trillions of data points without losing our ethics or value(s)...and even have a little fun. The Privacy Engineer's Manifesto is designed to serve multiple stakeholders: Anyone who is involved in designing, developing, deploying and reviewing products, processes, applications, and systems that process personal information, including software/hardware engineers, technical program and product managers, support and sales engineers, system integrators, IT professionals, lawyers, and information privacy and security professionals. This book is a must-read for all practitioners in the personal information economy. Privacy will be an integral part of the next wave in the technology revolution; innovators who emphasize privacy as an integral part of the product life cycle are on the right track. Foreword by Dr. Eric Bonabeau, PhD, Chairman, Icosystem, Inc. & Dean of Computational Sciences, Minerva Schools at KGI. |
| business rules database examples: Practical Issues in Database Management Fabian Pascal, 2000 The aim of this work is to provide a correct and up-to-date understanding of the practical aspects of crucial, yet little- understood core database issues. The author identifies fundamental concepts, principles, and techniques and assesses the treatment of those issues in SQL (both the standard and commercial implementations) and gives advice on how to deal with them. Topics covered include complex data types, missing information, data hierarchies, and quota queries. Annotation copyrighted by Book News, Inc., Portland, OR |
| business rules database examples: Information and Database Quality Mario G. Piattini, Coral Calero, Marcela F. Genero, 2012-12-06 In a global and increasingly competitive market, where organizations are driven by information, the search for ways to transform data into true knowledge is critical to a business's success. Few companies, however, have effective methods of managing the quality of this information. Because quality is a multidimensional concept, its management must consider a wide variety of issues related to information and data quality. Information and Database Quality is a compilation of works from research and industry that examines these issues, covering both the organizational and technical aspects of information and data quality. Information and Database Quality is an excellent reference for both researchers and professionals involved in any aspect of information and database research. |
| business rules database examples: The Practitioner's Guide to Data Quality Improvement David Loshin, 2010-11-22 The Practitioner's Guide to Data Quality Improvement offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. It shares the fundamentals for understanding the impacts of poor data quality, and guides practitioners and managers alike in socializing, gaining sponsorship for, planning, and establishing a data quality program. It demonstrates how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. It includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning. This book is recommended for data management practitioners, including database analysts, information analysts, data administrators, data architects, enterprise architects, data warehouse engineers, and systems analysts, and their managers. - Offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. - Shows how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. - Includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning. |
| business rules database examples: Managing Reference Data in Enterprise Databases Malcolm Chisholm, 2001 This is a great book! I have to admit I wasn't enthusiastic about the idea of a book with such a narrow topic initially, but, frankly, it's the first professional book I've read page to page in one sitting in a long time. It should be of interest to DBAs, data architects and modelers, programmers who have to write database programs, and yes, even managers. This book is a winner. - Karen Watterson, Editor SQL Server Professional Malcolm Chisholm has produced a very readable book. It is well-written and with excellent examples. It will, I am sure, become the Reference Book on Reference Data. - Clive Finkelstein, Father of Information Engineering, Managing Director, Information Engineering Services Pty Ltd Reference data plays a key role in your business databases and must be free from defects of any kind. So why is it so hard to find information on this critical topic? Recognizing the dangers of taking reference data for granted, Managing Reference Data in Enterprise Databases gives you precisely what you've been seeking: A complete guide to the implementation and management of reference data of all kinds. This book begins with a thorough definition of reference data, then proceeds with a detailed examination of all reference data issues, fully describing uses, common difficulties, and practical solutions. Whether you're a database manager, architect, administrator, programmer, or analyst, be sure to keep this easy-to-use reference close at hand. Features Solves special challenges associated with maintaining reference data. Addresses a wide range of reference data issues, including acronyms, redundancy, mapping, life cycles, multiple languages, and querying. Describes how reference data interacts with other system components, what problems can arise, and how to mitigate these problems. Offers examples of standard reference data types and matrices for evaluating management methods. Provides a number of standard reference data tables and more specialized material to help you deal with reference data, via a companion Web site |
| business rules database examples: Learn Database Systems with Implementation and Examples Imed Bouchrika, 2014 The main motivation behind writing this book is to teach the basic concepts of database systems through concrete and practical knowledge and examples without too many wordy and useless pages. The book is made deliberately concise and short covering the main aspects of databases that you have to master and gain either for industrial or academic purposes. The main chapters includes within this book are: Introduction to Databases, Database Design, SQL: Structured Query Language, SQL: Structured Query Language, SQL Transactions, Procedures & Triggers, Object Relational Databases, Databases & Java Programming, Solutions & Answers. The book website can be accessed at: http: //www.LearnDB.com |
| business rules database examples: Storytelling with Data Cole Nussbaumer Knaflic, 2015-10-09 Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it! |
| business rules database examples: Principles of Database Management Wilfried Lemahieu, Seppe vanden Broucke, Bart Baesens, 2018-07-12 Introductory, theory-practice balanced text teaching the fundamentals of databases to advanced undergraduates or graduate students in information systems or computer science. |
| business rules database examples: The Three Rules Michael E. Raynor, Mumtaz Ahmed, 2013 A data-driven assessment analyzes the practices of thousands of high- and low-performing companies over a forty-five-year period to reveal unique thinking habits and counterintuitive strategies. |
| business rules database examples: Business Knowledge Blueprints: Enabling Your Data to Speak the Language of the Business Ronald G. Ross, 2019-10-14 About Business Knowledge Blueprints ...Learn the art and science of - Building robust business vocabularies- Disambiguating business communication- Designing data based on languageIf you want to share and re-use data, the problem is communication, not technology. Concept models are the most important innovation this century. Create the new Knowledge Commons for your business! Bring people together for Knowledge-Age success. This book is for governance, risk and compliance managers, regulators and policy makers, legal staff, knowledge managers, product designers, and training managers - and the analysts, architects, data scientists, and software professionals who support business transformations. |
| business rules database examples: Valuepack Thomas Connolly, 2005-08-01 |
| business rules database examples: JBoss Drools Business Rules Paul Browne, 2009 This book takes a practical approach, with step-by-step instructions. It doesn't hesitate to talk about the technologies, but takes time to explain them (to an Excel power-user level). There is a good use of graphics and code where necessary. If you are a business analyst – somebody involved with enterprise IT but at a high level, understanding problems and planning solutions, rather than coding in-depth implementations – then this book is for you. If you are a business user who needs to write rules, or a technical person who needs to support rules, this book is for you. If you are looking for an introduction to rule engine technology, this book will satisfy your needs. If you are a business user and want to write rules using Guvnor/JBoss IDE, this book will be suitable for you. This book will also suit your need if you are a business user and want to understand what Drools can do and how it works, but would rather leave the implementation to a developer. |
| business rules database examples: Essential Systems Analysis Stephen M. McMenamin, John F. Palmer, 1984 |
| business rules database examples: BPMN Method and Style Bruce Silver, 2009 Creating business process models that can be shared effectively across the business - and between business and IT - demands more than a digest of BPMN shapes and symbols. It requires a step-by-step methodology for going from a blank page to a complete process diagram. It also requires consistent application of a modeling style, so that the modeler's meaning is clear from the diagram itself. Author Bruce Silver explains not only the meaning and proper usage of the entire BPMN 2.0 palette, but calls out the working subset that you really need to know. He also reveals the hidden assumptions of core concepts left unexplained in the spec, the key to BPMN's deeper meaning. The book addresses BPMN at three levels, with primary focus on the first two. Level 1, or descriptive BPMN, uses a basic working set of shapes and symbols to meet the needs of business users doing process mapping. Level 2, or analytical BPMN, is aimed at business analysts and architects. It takes advantage of BPMN's expressiveness for detailing event and exception handling, key to analyzing and improving process performance and quality. Level 3, or executable BPMN, is brand new in BPMN 2.0. Here the XML underneath the diagram shapes becomes an executable design can be deployed to a process engine to automate the process. The method and style detailed in the book aligns these three levels, facilitating business-IT collaboration throughout the process lifecycle. Inside the book you'll find discussions, illustrated with over 100 examples, about: The questions BPMN asks, and does not ask The meaning of basic concepts like starting and completing, sending and receiving, waiting and listening Subprocesses and hierarchical modeling style The five basic steps in creating Level 1 models Event and exception-handling patterns Branching and merging patterns Level 2 modeling method Elements of BPMN style: element usage and diagram composition |
| business rules database examples: Information Systems for Business and Beyond David T. Bourgeois, 2014 Information Systems for Business and Beyond introduces the concept of information systems, their use in business, and the larger impact they are having on our world.--BC Campus website. |
| business rules database examples: Database Life Cycle Open University. Relational Databases: Theory and Practice Course Team, 2007-04 This block is concerned with the database lifecycle, which describes the stages a database goes through, from the time the need for a database is established until it is withdrawn from use. This block applies the practice developed in Block 3 to systematically develop, implement and maintain a database design that supports the information requirements of an enterprise. It presents a simple framework for database development and maintenance.This is a very practical block and will require you to write and execute SQL statements for which you will need access to a computer installed with the course software (order code M359/CDR01) and database cards Scenarios and Hospital conceptual data model (order code M359/DBCARDS) |
| business rules database examples: Database Design for Mere Mortals Michael J. Hernandez, 2021-07-27 The #1 Easy, Commonsense Guide to Database Design! Michael J. Hernandez’s best-selling Database Design for Mere Mortals® has earned worldwide respect as the clearest, simplest way to learn relational database design. Now, he’s made this hands-on, software-independent tutorial even easier, while ensuring that his design methodology is still relevant to the latest databases, applications, and best practices. Step by step, Database Design for Mere Mortals®, Third Edition, shows you how to design databases that are soundly structured, reliable, and flexible, even in modern web applications. Hernandez guides you through everything from database planning to defining tables, fields, keys, table relationships, business rules, and views. You’ll learn practical ways to improve data integrity, how to avoid common mistakes, and when to break the rules. Coverage includes Understanding database types, models, and design terminology Discovering what good database design can do for you—and why bad design can make your life miserable Setting objectives for your database, and transforming those objectives into real designs Analyzing a current database so you can identify ways to improve it Establishing table structures and relationships, assigning primary keys, setting field specifications, and setting up views Ensuring the appropriate level of data integrity for each application Identifying and establishing business rules Whatever relational database systems you use, Hernandez will help you design databases that are robust and trustworthy. Never designed a database before? Settling for inadequate generic designs? Running existing databases that need improvement? Start here. |
BUSINESS | English meaning - Cambridge Dictionary
BUSINESS definition: 1. the activity of buying and selling goods and services: 2. a particular company that buys …
VENTURE | English meaning - Cambridge Dictionary
VENTURE definition: 1. a new activity, usually in business, that involves risk or uncertainty: 2. to risk going….
ENTERPRISE | English meaning - Cambridge Dictionary
ENTERPRISE definition: 1. an organization, especially a business, or a difficult and important plan, …
INCUMBENT | English meaning - Cambridge Dictionary
INCUMBENT definition: 1. officially having the named position: 2. to be necessary for someone: 3. the …
AD HOC | English meaning - Cambridge Dictionary
AD HOC definition: 1. made or happening only for a particular purpose or need, not planned …
BUSINESS | English meaning - Cambridge Dictionary
BUSINESS definition: 1. the activity of buying and selling goods and services: 2. a particular company that buys …
VENTURE | English meaning - Cambridge Dictionary
VENTURE definition: 1. a new activity, usually in business, that involves risk or uncertainty: 2. to risk going….
ENTERPRISE | English meaning - Cambridge Dictionary
ENTERPRISE definition: 1. an organization, especially a business, or a difficult and important plan, …
INCUMBENT | English meaning - Cambridge Dictionary
INCUMBENT definition: 1. officially having the named position: 2. to be necessary for someone: 3. the …
AD HOC | English meaning - Cambridge Dictionary
AD HOC definition: 1. made or happening only for a particular purpose or need, not planned …
