Data Modeling With Erwin

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Data Modeling Made Simple with CA ERwin Data Modeler r8

Author : Donna Burbank
Publisher : Technics Publications
ISBN 13 : 1634620690
Total Pages : 537 pages
Book Rating : 4.6/5 (346 download)

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Book Synopsis Data Modeling Made Simple with CA ERwin Data Modeler r8 by : Donna Burbank

Download or read book Data Modeling Made Simple with CA ERwin Data Modeler r8 written by Donna Burbank and published by Technics Publications. This book was released on 2011-08-01 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Modeling Made Simple with CA ERwin Data Modeler r8 will provide the business or IT professional with a practical working knowledge of data modeling concepts and best practices, and how to apply these principles with CA ERwin Data Modeler r8. You’ll build many CA ERwin data models along the way, mastering first the fundamentals and later in the book the more advanced features of CA ERwin Data Modeler. This book combines real-world experience and best practices with down to earth advice, humor, and even cartoons to help you master the following ten objectives: 1. Understand the basics of data modeling and relational theory, and how to apply these skills using CA ERwin Data Modeler 2. Read a data model of any size and complexity with the same confidence as reading a book 3. Understand the difference between conceptual, logical, and physical models, and how to effectively build these models using CA ERwin’s Data Modelers Design Layer Architecture 4. Apply techniques to turn a logical data model into an efficient physical design and vice-versa through forward and reverse engineering, for both ‘top down’ and bottom-up design 5. Learn how to create reusable domains, naming standards, UDPs, and model templates in CA ERwin Data Modeler to reduce modeling time, improve data quality, and increase enterprise consistency 6. Share data model information with various audiences using model formatting and layout techniques, reporting, and metadata exchange 7. Use the new workspace customization features in CA ERwin Data Modeler r8 to create a workflow suited to your own individual needs 8. Leverage the new Bulk Editing features in CA ERwin Data Modeler r8 for mass metadata updates, as well as import/export with Microsoft Excel 9. Compare and merge model changes using CA ERwin Data Modelers Complete Compare features 10. Optimize the organization and layout of your data models through the use of Subject Areas, Diagrams, Display Themes, and more Section I provides an overview of data modeling: what it is, and why it is needed. The basic features of CA ERwin Data Modeler are introduced with a simple, easy-to-follow example. Section II introduces the basic building blocks of a data model, including entities, relationships, keys, and more. How-to examples using CA ERwin Data Modeler are provided for each of these building blocks, as well as ‘real world’ scenarios for context. Section III covers the creation of reusable standards, and their importance in the organization. From standard data modeling constructs such as domains to CA ERwin-specific features such as UDPs, this section covers step-by-step examples of how to create these standards in CA ERwin Data Modeling, from creation, to template building, to sharing standards with end users through reporting and queries. Section IV discusses conceptual, logical, and physical data models, and provides a comprehensive case study using CA ERwin Data Modeler to show the interrelationships between these models using CA ERwin’s Design Layer Architecture. Real world examples are provided from requirements gathering, to working with business sponsors, to the hands-on nitty-gritty details of building conceptual, logical, and physical data models with CA ERwin Data Modeler r8. From the Foreword by Tom Bilcze, President, CA Technologies Modeling Global User Community: Data Modeling Made Simple with CA ERwin Data Modeler r8 is an excellent resource for the ERwin community. The data modeling community is a diverse collection of data professionals with many perspectives of data modeling and different levels of skill and experience. Steve Hoberman and Donna Burbank guide newbie modelers through the basics of data modeling and CA ERwin r8. Through the liberal use of illustrations, the inexperienced data modeler is graphically walked through the components of data models and how to create them in CA ERwin r8. As an experienced data modeler, Steve and Donna give me a handbook for effectively using the new and enhanced features of this release to bring my art form to life. The book delves into advanced modeling topics and techniques by continuing the liberal use of illustrations. It speaks to the importance of a defined data modeling architecture with soundly modeled data to assist the enterprise in understanding of the value of data. It guides me in applying the finishing touches to my data designs.

Data Modeling with ERwin

Author : M. Carla DeAngelis
Publisher : Sams Publishing
ISBN 13 : 9780672318689
Total Pages : 0 pages
Book Rating : 4.3/5 (186 download)

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Book Synopsis Data Modeling with ERwin by : M. Carla DeAngelis

Download or read book Data Modeling with ERwin written by M. Carla DeAngelis and published by Sams Publishing. This book was released on 2000 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the first chapter, author Carla DeAngelis skillfully explains the normally complex concepts of Data Modeling-a critical success factor in the information-based enterprises of today. Carla tackles complex topics such as Logical Data Models, Modeling Methodologies, Relationships, and Attributes in a clear style that makes it simple for anyone to begin applying them immediately. Once the foundation has been laid, Carla teaches you to develop your own databases with ERwin. You will learn to use the tool to create primary keys and assign attributes, build data relationships with point and click ease, build and edit tables with Erwin's built-in editors, create indexes with the Index Editor, write custom SQL scripts, and process reports with the Report Tools.

Data Modeling Made Simple with Erwin DM

Author : Harris Jeff
Publisher :
ISBN 13 : 9781634628440
Total Pages : pages
Book Rating : 4.6/5 (284 download)

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Book Synopsis Data Modeling Made Simple with Erwin DM by : Harris Jeff

Download or read book Data Modeling Made Simple with Erwin DM written by Harris Jeff and published by . This book was released on 2020-06 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data Modeling Made Simple

Author : Steve Hoberman
Publisher : Technics Publications Llc
ISBN 13 : 9780977140060
Total Pages : 360 pages
Book Rating : 4.1/5 (4 download)

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Book Synopsis Data Modeling Made Simple by : Steve Hoberman

Download or read book Data Modeling Made Simple written by Steve Hoberman and published by Technics Publications Llc. This book was released on 2009 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Read today's business headlines and you will see that many issues stem from people not having the right data at the right time. Data issues don't always make the front page, yet they exist within every organisation. We need to improve how we manage data -- and the most valuable tool for explaining, vaildating and managing data is a data model. This book provides the business or IT professional with a practical working knowledge of data modelling concepts and best practices. This book is written in a conversational style that encourages you to read it from start to finish and master these ten objectives: Know when a data model is needed and which type of data model is most effective for each situation; Read a data model of any size and complexity with the same confidence as reading a book; Build a fully normalised relational data model, as well as an easily navigatable dimensional model; Apply techniques to turn a logical data model into an efficient physical design; Leverage several templates to make requirements gathering more efficient and accurate; Explain all ten categories of the Data Model Scorecard®; Learn strategies to improve your working relationships with others; Appreciate the impact unstructured data has, and will have, on our data modelling deliverables; Learn basic UML concepts; Put data modelling in context with XML, metadata, and agile development.

Data Modeling for the Business

Author : Steve Hoberman
Publisher : Technics Publications Llc
ISBN 13 : 9780977140077
Total Pages : 285 pages
Book Rating : 4.1/5 (4 download)

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Book Synopsis Data Modeling for the Business by : Steve Hoberman

Download or read book Data Modeling for the Business written by Steve Hoberman and published by Technics Publications Llc. This book was released on 2009 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

A Practical Guide to Database Design

Author : Rex Hogan
Publisher : CRC Press
ISBN 13 : 1351265466
Total Pages : 463 pages
Book Rating : 4.3/5 (512 download)

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Book Synopsis A Practical Guide to Database Design by : Rex Hogan

Download or read book A Practical Guide to Database Design written by Rex Hogan and published by CRC Press. This book was released on 2018-03-08 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fully updated and expanded from the previous edition, A Practical Guide to Database Design, Second Edition is intended for those involved in the design or development of a database system or application. It begins by illustrating how to develop a Third Normal Form data model where data is placed “where it belongs”. The reader is taken step-by-step through the Normalization process, first using a simple then a more complex set of data requirements. Next, usage analysis for each Logical Data Model is reviewed and a Physical Data Model is produced that will satisfy user performance requirements. Finally, each Physical Data Model is used as input to create databases using both Microsoft Access and SQL Server. The book next shows how to use an industry-leading data modeling tool to define and manage logical and physical data models, and how to create Data Definition Language statements to create or update a database running in SQL Server, Oracle, or other type of DBMS. One chapter is devoted to illustrating how Microsoft Access can be used to create user interfaces to review and update underlying tables in that database as well as tables residing in SQL Server or Oracle. For users involved with Cyber activity or support, one chapter illustrates how to extract records of interest from a log file using PERL, then shows how to load these extracted records into one or more SQL Server “tracking” tables adding status flags for analysts to use when reviewing activity of interest. These status flags are used to flag/mark collected records as “Reviewed”, “Pending” (currently being analyzed) and “Resolved”. The last chapter then shows how to build a web-based GUI using PHP to query these tracking tables and allow an analyst to review new activity, flag items that need to be investigated, and finally flag items that have been investigated and resolved. Note that the book has complete code/scripts for both PERL and the PHP GUI.

Agile Data Warehouse Design

Author : Lawrence Corr
Publisher : DecisionOne Consulting
ISBN 13 : 0956817203
Total Pages : 330 pages
Book Rating : 4.9/5 (568 download)

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Book Synopsis Agile Data Warehouse Design by : Lawrence Corr

Download or read book Agile Data Warehouse Design written by Lawrence Corr and published by DecisionOne Consulting. This book was released on 2011-11 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Agile Data Warehouse Design is a step-by-step guide for capturing data warehousing/business intelligence (DW/BI) requirements and turning them into high performance dimensional models in the most direct way: by modelstorming (data modeling + brainstorming) with BI stakeholders. This book describes BEAM✲, an agile approach to dimensional modeling, for improving communication between data warehouse designers, BI stakeholders and the whole DW/BI development team. BEAM✲ provides tools and techniques that will encourage DW/BI designers and developers to move away from their keyboards and entity relationship based tools and model interactively with their colleagues. The result is everyone thinks dimensionally from the outset! Developers understand how to efficiently implement dimensional modeling solutions. Business stakeholders feel ownership of the data warehouse they have created, and can already imagine how they will use it to answer their business questions. Within this book, you will learn: ✲ Agile dimensional modeling using Business Event Analysis & Modeling (BEAM✲) ✲ Modelstorming: data modeling that is quicker, more inclusive, more productive, and frankly more fun! ✲ Telling dimensional data stories using the 7Ws (who, what, when, where, how many, why and how) ✲ Modeling by example not abstraction; using data story themes, not crow's feet, to describe detail ✲ Storyboarding the data warehouse to discover conformed dimensions and plan iterative development ✲ Visual modeling: sketching timelines, charts and grids to model complex process measurement - simply ✲ Agile design documentation: enhancing star schemas with BEAM✲ dimensional shorthand notation ✲ Solving difficult DW/BI performance and usability problems with proven dimensional design patterns Lawrence Corr is a data warehouse designer and educator. As Principal of DecisionOne Consulting, he helps clients to review and simplify their data warehouse designs, and advises vendors on visual data modeling techniques. He regularly teaches agile dimensional modeling courses worldwide and has taught dimensional DW/BI skills to thousands of students. Jim Stagnitto is a data warehouse and master data management architect specializing in the healthcare, financial services, and information service industries. He is the founder of the data warehousing and data mining consulting firm Llumino.

Designing Quality Databases with IDEF1X Information Models

Author : Thomas A. Bruce
Publisher : Dorset House Publishing Company, Incorporated
ISBN 13 :
Total Pages : 592 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis Designing Quality Databases with IDEF1X Information Models by : Thomas A. Bruce

Download or read book Designing Quality Databases with IDEF1X Information Models written by Thomas A. Bruce and published by Dorset House Publishing Company, Incorporated. This book was released on 1992 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the beginning, when computers were the toys of back-room scientists, there were not databases, no systems architects, no information modelers. Computers did not manage business information, so there was no need for information specification techniques. In today's complex world, precise specification methods are a primary requirement for business success and survival. This book describes how to use information models to specify business information models to specify business information requirements, policies, and rules, and how to use these specifications to design and build database applications. Using IDEF1X, a language for describing information structures, this text provides clear and practical instructions that teach the reader to think about complex data and business rules without being concerned about the particular characteristics of the database management system that will be used for implementation. This text is addressed to both those who want to know the why and those who want to know the how of data-driven design.

Data Modeling Essentials

Author : Graeme Simsion
Publisher : Elsevier
ISBN 13 : 0080488676
Total Pages : 561 pages
Book Rating : 4.0/5 (84 download)

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Book Synopsis Data Modeling Essentials by : Graeme Simsion

Download or read book Data Modeling Essentials written by Graeme Simsion and published by Elsevier. This book was released on 2004-12-03 with total page 561 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Database Benchmarking and Stress Testing

Author : Bert Scalzo
Publisher : Apress
ISBN 13 : 1484240081
Total Pages : 250 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Database Benchmarking and Stress Testing by : Bert Scalzo

Download or read book Database Benchmarking and Stress Testing written by Bert Scalzo and published by Apress. This book was released on 2018-10-08 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provide evidence-based answers that can be measured and relied upon by your business. Database administrators will be able to make sound architectural decisions in a fast-changing landscape of virtualized servers and container-based solutions based on the empirical method presented in this book for answering “what if” questions about database performance. Today’s database administrators face numerous questions such as: What if we consolidate databases using multitenant features? What if we virtualize database servers as Docker containers? What if we deploy the latest in NVMe flash disks to speed up IO access? Do features such as compression, partitioning, and in-memory OLTP earn back their price? What if we move our databases to the cloud? As an administrator, do you know the answers or even how to test the assumptions? Database Benchmarking and Stress Testing introduces you to database benchmarking using industry-standard test suites such as the TCP series of benchmarks, which are the same benchmarks that vendors rely upon. You’ll learn to run these industry-standard benchmarks and collect results to use in answering questions about the performance impact of architectural changes, technology changes, and even down to the brand of database software. You’ll learn to measure performance and predict the specific impact of changes to your environment. You’ll know the limitations of the benchmarks and the crucial difference between benchmarking and workload capture/reply. This book teaches you how to create empirical evidence in support of business and technology decisions. It’s about not guessing when you should be measuring. Empirical testing is scientific testing that delivers measurable results. Begin with a hypothesis about the impact of a possible architecture or technology change. Then run the appropriate benchmarks to gather data and predict whether the change you’re exploring will be beneficial, and by what order of magnitude. Stop guessing. Start measuring. Let Database Benchmarking and Stress Testing show the way. What You'll LearnUnderstand the industry-standard database benchmarks, and when each is best used Prepare for a database benchmarking effort so reliable results can be achieved Perform database benchmarking for consolidation, virtualization, and cloud projects Recognize and avoid common mistakes in benchmarking database performanceMeasure and interpret results in a rational, concise manner for reliable comparisonsChoose and provide advice on benchmarking tools based on their pros and cons Who This Book Is For Database administrators and professionals responsible for advising on architectural decisions such as whether to use cloud-based services, whether to consolidate and containerize, and who must make recommendations on storage or any other technology that impacts database performance

Hands-On Big Data Modeling

Author : James Lee
Publisher : Packt Publishing Ltd
ISBN 13 : 1788626087
Total Pages : 293 pages
Book Rating : 4.7/5 (886 download)

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Book Synopsis Hands-On Big Data Modeling by : James Lee

Download or read book Hands-On Big Data Modeling written by James Lee and published by Packt Publishing Ltd. This book was released on 2018-11-30 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: Solve all big data problems by learning how to create efficient data models Key FeaturesCreate effective models that get the most out of big dataApply your knowledge to datasets from Twitter and weather data to learn big dataTackle different data modeling challenges with expert techniques presented in this bookBook Description Modeling and managing data is a central focus of all big data projects. In fact, a database is considered to be effective only if you have a logical and sophisticated data model. This book will help you develop practical skills in modeling your own big data projects and improve the performance of analytical queries for your specific business requirements. To start with, you’ll get a quick introduction to big data and understand the different data modeling and data management platforms for big data. Then you’ll work with structured and semi-structured data with the help of real-life examples. Once you’ve got to grips with the basics, you’ll use the SQL Developer Data Modeler to create your own data models containing different file types such as CSV, XML, and JSON. You’ll also learn to create graph data models and explore data modeling with streaming data using real-world datasets. By the end of this book, you’ll be able to design and develop efficient data models for varying data sizes easily and efficiently. What you will learnGet insights into big data and discover various data modelsExplore conceptual, logical, and big data modelsUnderstand how to model data containing different file typesRun through data modeling with examples of Twitter, Bitcoin, IMDB and weather data modelingCreate data models such as Graph Data and Vector SpaceModel structured and unstructured data using Python and RWho this book is for This book is great for programmers, geologists, biologists, and every professional who deals with spatial data. If you want to learn how to handle GIS, GPS, and remote sensing data, then this book is for you. Basic knowledge of R and QGIS would be helpful.

Data Resource Data

Author : Michael Brackett
Publisher :
ISBN 13 : 9781935504269
Total Pages : 0 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Data Resource Data by : Michael Brackett

Download or read book Data Resource Data written by Michael Brackett and published by . This book was released on 2014-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Resource Data provides the complete detailed data resource model for understanding and managing data as a critical resource of the organization.

Beginning Database Design

Author : Gavin Powell
Publisher : John Wiley & Sons
ISBN 13 : 0764574906
Total Pages : 496 pages
Book Rating : 4.7/5 (645 download)

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Book Synopsis Beginning Database Design by : Gavin Powell

Download or read book Beginning Database Design written by Gavin Powell and published by John Wiley & Sons. This book was released on 2006 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the #1 source for computing information, trusted by more than six million readers worldwide.

Building a Scalable Data Warehouse with Data Vault 2.0

Author : Daniel Linstedt
Publisher : Morgan Kaufmann
ISBN 13 : 0128026480
Total Pages : 684 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Building a Scalable Data Warehouse with Data Vault 2.0 by : Daniel Linstedt

Download or read book Building a Scalable Data Warehouse with Data Vault 2.0 written by Daniel Linstedt and published by Morgan Kaufmann. This book was released on 2015-09-15 with total page 684 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Information Modeling and Relational Databases

Author : Terry Halpin
Publisher : Elsevier
ISBN 13 : 0443237913
Total Pages : 1086 pages
Book Rating : 4.4/5 (432 download)

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Book Synopsis Information Modeling and Relational Databases by : Terry Halpin

Download or read book Information Modeling and Relational Databases written by Terry Halpin and published by Elsevier. This book was released on 2024-07-22 with total page 1086 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information Modeling and Relational Databases, Third Edition, provides an introduction to ORM (Object-Role Modeling) and much more. In fact, it is the only book to go beyond introductory coverage and provide all of the in-depth instruction you need to transform knowledge from domain experts into a sound database design. This book is intended for anyone with a stake in the accuracy and efficacy of databases: systems analysts, information modelers, database designers and administrators, and programmers. Dr. Terry Halpin and Dr. Tony Morgan, pioneers in the development of ORM, blend conceptual information with practical instruction that will let you begin using ORM effectively as soon as possible. The all-new Third Edition includes coverage of advances and improvements in ORM and UML, nominalization, relational mapping, SQL, XML, data interchange, NoSQL databases, ontological modeling, and post-relational databases. Supported by examples, exercises, and useful background information, the authors' step-by-step approach teaches you to develop a natural-language-based ORM model, and then, where needed, abstract ER and UML models from it. This book will quickly make you proficient in the modeling technique that is proving vital to the development of accurate and efficient databases that best meet real business objectives. "This book is an excellent introduction to both information modeling in ORM and relational databases. The book is very clearly written in a step-by-step manner and contains an abundance of well-chosen examples illuminating practice and theory in information modeling. I strongly recommend this book to anyone interested in conceptual modeling and databases." — Dr. Herman Balsters, Director of the Faculty of Industrial Engineering, University of Groningen, The Netherlands - Presents the most in-depth coverage of object-role modeling, including a thorough update of the book for the latest versions of ORM, ER, UML, OWL, and BPMN modeling. - Includes clear coverage of relational database concepts as well as the latest developments in SQL, XML, information modeling, data exchange, and schema transformation. - Case studies and a large number of class-tested exercises are provided for many topics. - Includes all-new chapters on data file formats and NoSQL databases.

An Introduction to Agile Data Engineering Using Data Vault 2. 0

Author : Kent Graziano
Publisher :
ISBN 13 : 9781796584936
Total Pages : 50 pages
Book Rating : 4.5/5 (849 download)

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Book Synopsis An Introduction to Agile Data Engineering Using Data Vault 2. 0 by : Kent Graziano

Download or read book An Introduction to Agile Data Engineering Using Data Vault 2. 0 written by Kent Graziano and published by . This book was released on 2015-11-22 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world of data warehousing is changing. Big Data & Agile are hot topics. But companies still need to collect, report, and analyze their data. Usually this requires some form of data warehousing or business intelligence system. So how do we do that in the modern IT landscape in a way that allows us to be agile and either deal directly or indirectly with unstructured and semi structured data?The Data Vault System of Business Intelligence provides a method and approach to modeling your enterprise data warehouse (EDW) that is agile, flexible, and scalable. This book will give you a short introduction to Agile Data Engineering for Data Warehousing and Data Vault 2.0. I will explain why you should be trying to become Agile, some of the history and rationale for Data Vault 2.0, and then show you the basics for how to build a data warehouse model using the Data Vault 2.0 standards.In addition, I will cover some details about the Business Data Vault (what it is) and then how to build a virtual Information Mart off your Data Vault and Business Vault using the Data Vault 2.0 architecture.So if you want to start learning about Agile Data Engineering with Data Vault 2.0, this book is for you.

Database Modeling and Design

Author : Toby J. Teorey
Publisher : Elsevier
ISBN 13 : 0080470777
Total Pages : 294 pages
Book Rating : 4.0/5 (84 download)

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Book Synopsis Database Modeling and Design by : Toby J. Teorey

Download or read book Database Modeling and Design written by Toby J. Teorey and published by Elsevier. This book was released on 2010-08-05 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Database Modeling and Design, Fourth Edition, the extensively revised edition of the classic logical database design reference, explains how you can model and design your database application in consideration of new technology or new business needs. It is an ideal text for a stand-alone data management course focused on logical database design, or a supplement to an introductory text for introductory database management. This book features clear explanations, lots of terrific examples and an illustrative case, and practical advice, with design rules that are applicable to any SQL-based system. The common examples are based on real-life experiences and have been thoroughly class-tested. The text takes a detailed look at the Unified Modeling Language (UML-2) as well as the entity-relationship (ER) approach for data requirements specification and conceptual modeling - complemented with examples for both approaches. It also discusses the use of data modeling concepts in logical database design; the transformation of the conceptual model to the relational model and to SQL syntax; the fundamentals of database normalization through the fifth normal form; and the major issues in business intelligence such as data warehousing, OLAP for decision support systems, and data mining. There are examples for how to use the most popular CASE tools to handle complex data modeling problems, along with exercises that test understanding of all material, plus solutions for many exercises. Lecture notes and a solutions manual are also available. This edition will appeal to professional data modelers and database design professionals, including database application designers, and database administrators (DBAs); new/novice data management professionals, such as those working on object oriented database design; and students in second courses in database focusing on design. + a detailed look at the Unified Modeling Language (UML-2) as well as the entity-relationship (ER) approach for data requirements specification and conceptual modeling--with examples throughout the book in both approaches! + the details and examples of how to use data modeling concepts in logical database design, and the transformation of the conceptual model to the relational model and to SQL syntax; + the fundamentals of database normalization through the fifth normal form;+ practical coverage of the major issues in business intelligence--data warehousing, OLAP for decision support systems, and data mining; + examples for how to use the most popular CASE tools to handle complex data modeling problems. + Exercises that test understanding of all material, plus solutions for many exercises.