Data Modeling Made Simple

Data Modeling Made Simple PDF Book Details:
Author: Steve Hoberman
Publisher: Technics Publications Llc
ISBN: 9780977140060
Size: 50.67 MB
Format: PDF
Category : Computers
Languages : en
Pages : 360
View: 528

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Data Modeling Made Simple PDF

Data Modeling Made Simple by Steve Hoberman, Data Modeling Made Simple Books available in PDF, EPUB, Mobi Format. Download Data Modeling Made Simple books, 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 Made Simple With Erwin Dm

Data Modeling Made Simple with erwin DM PDF Book Details:
Author: Jeff Harris
Publisher: Technics Publications
ISBN: 1634628462
Size: 40.66 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 538
View: 6228

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Data Modeling Made Simple With Erwin Dm PDF

Data Modeling Made Simple by Jeff Harris , Data Modeling Made Simple With Erwin Dm Books available in PDF, EPUB, Mobi Format. Download Data Modeling Made Simple With Erwin Dm books, Master erwin DM to deliver robust and precise designs for both operational and analytical projects. Steve and Jeff start from the basics, explaining data modeling concepts and how to get up and running with erwin DM (erwin DM). Through a hands-on approach, business analysts, data professionals, and project managers will learn step-by-step how to build effective conceptual, logical, and physical data models. Complete the stages in identifying essential business requirements, designing the logical data model, transposing those logical modeling objects into physical tables and columns, and even generating the implementation database scripts. This book contains seven parts. Part I provides a foundation in data modeling and Part II a foundation in erwin DM. Part III covers the design layer technique and its application using erwin DM, distinguishing conceptual, logical, physical, and operational data models. Part IV covers entities, domains, attributes, key groups, validation rules, default rules, and subject areas, along with how to implement them using erwin DM. Part V explains the physical data model and how to convert a logical data model to a physical data model in erwin DM. Become confident creating tables, columns, indexes, and views. Part VI reveals advanced features available within erwin DM, including user defined properties, naming standards, forward engineering, reverse engineering, complete compare, report designer, and the bulk editor. Part VII explains several important tools to use in combination with erwin DM, including erwin DM NoSQL, erwin Data Catalog, and erwin Data Literacy.


Data Modeling Made Simple With Ca Erwin Data Modeler R8

Data Modeling Made Simple with CA ERwin Data Modeler r8 PDF Book Details:
Author: Donna Burbank
Publisher: Technics Publications
ISBN: 1634620690
Size: 67.18 MB
Format: PDF, ePub, Mobi
Category : Computers
Languages : en
Pages : 536
View: 2327

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Data Modeling Made Simple With Ca Erwin Data Modeler R8 PDF

Data Modeling Made Simple by Donna Burbank, Data Modeling Made Simple With Ca Erwin Data Modeler R8 Books available in PDF, EPUB, Mobi Format. Download Data Modeling Made Simple With Ca Erwin Data Modeler R8 books, 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 Made Simple With Powerdesigner

Data Modeling Made Simple with PowerDesigner PDF Book Details:
Author: Steve Hoberman
Publisher: Technics Publications
ISBN: 1634620704
Size: 73.88 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 532
View: 4861

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Data Modeling Made Simple With Powerdesigner PDF

Data Modeling Made Simple by Steve Hoberman, Data Modeling Made Simple With Powerdesigner Books available in PDF, EPUB, Mobi Format. Download Data Modeling Made Simple With Powerdesigner books, Data Modeling Made Simple with PowerDesigner 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 PowerDesigner. You'll build many PowerDesigner data models along the way, increasing your skills first with the fundamentals and later with more advanced feature of PowerDesigner. This book combines real-world experience and best practices to help you master the following ten objectives: This book has ten key objectives for you, the reader: 1. You will know when a data model is needed and which PowerDesigner models are the most appropriate for each situation 2. You will be able to read a data model of any size and complexity with the same confidence as reading a book 3. You will know when to apply and how to make use of all the key features of PowerDesigner 4. You will be able to build, step-by-step in PowerDesigner, a pyramid of linked data models, including a conceptual data model, a fully normalized relational data model, a physical data model, and an easily navigable dimensional model 5. You will be able to apply techniques such as indexing, transforms, and forward engineering to turn a logical data model into an efficient physical design 6. You will improve data governance and modeling consistency within your organization by leveraging features such as PowerDesigner’s reference models, Glossary, domains, and model comparison and model mapping techniques 7. You will know how to utilize dependencies and traceability links to assess the impact of change 8. You will know how to integrate your PowerDesigner models with externally-managed files, including the import and export of data using Excel and Requirements documents 9. You will know where you can take advantage of the entire PowerDesigner model set, to increase the success rate of corporate-wide initiatives such as business intelligence and enterprise resource planning (ERP) 10. You will understand the key differentiators between PowerDesigner and other data modeling tools you may have used before This book contains seven sections: Section I introduces data modeling, along with its purpose and variations. Section II explains all of the components on a data model including entities, data elements, relationships, and keys. Also included is a discussion of the importance of quality names and definitions for your objects. Section III explains the important role of data modeling tools, the key features required of any data modeling tool, and an introduction to the essential features of PowerDesigner. It also describes how to create and manage data modeling objects in PowerDesigner. Section IV introduces the Data Model Pyramid, then dives into the relational and dimensional subject areas, logical, and physical data models, and describes how PowerDesigner supports these models and the connections between them. Section V guides you through the creation of your own Data Model Pyramid. Section VI focuses on additional PowerDesigner features (some of which have already been introduced) that make life easier for data modelers. Learn how to get information into and out of PowerDesigner, and improve the quality of your data models with a cross-reference of key PowerDesigner features with the Data Model Scorecard®. Section VII discusses PowerDesigner topics beyond data modeling, including the XML physical model and the other types of model available in PowerDesigner.


Data Modeling Made Simple With Er Studio Data Architect

Data Modeling Made Simple with ER Studio Data Architect PDF Book Details:
Author: Steve Hoberman
Publisher: Technics Publications
ISBN: 1634620941
Size: 80.14 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 342
View: 5976

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Data Modeling Made Simple With Er Studio Data Architect PDF

Data Modeling Made Simple by Steve Hoberman, Data Modeling Made Simple With Er Studio Data Architect Books available in PDF, EPUB, Mobi Format. Download Data Modeling Made Simple With Er Studio Data Architect books, Build a working knowledge of data modeling concepts and best practices, along with how to apply these principles with ER/Studio. This second edition includes numerous updates and new sections including an overview of ER/Studio’s support for agile development, as well as a description of some of ER/Studio’s newer features for NoSQL, such as MongoDB’s containment structure.


Data Modeling Made Simple

Data Modeling Made Simple PDF Book Details:
Author: Steve Hoberman
Publisher: Technics Publications
ISBN: 163462016X
Size: 19.39 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 244
View: 4449

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Data Modeling Made Simple PDF

Data Modeling Made Simple by Steve Hoberman, Data Modeling Made Simple Books available in PDF, EPUB, Mobi Format. Download Data Modeling Made Simple books, Data Modeling Made Simple will provide the business or IT professional with a practical working knowledge of data modeling 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 normalized 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 modeling deliverables Learn basic UML concepts Put data modeling in context with XML, metadata, and agile development Book Review by Johnny Gay In this book review, I address each section in the book and provide what I found most valuable as a data modeler. I compare, as I go, how the book's structure eases the new data modeler into the subject much like an instructor might ease a beginning swimmer into the pool. This book begins like a Dan Brown novel. It even starts out with the protagonist, our favorite data modeler, lost on a dark road somewhere in France. In this case, what saves him isn't a cipher, but of all things, something that's very much like a data model in the form of a map! The author deems they are both way-finding tools. The chapters in the book are divided into 5 sections. The chapters in each section end with an exercise and a list of the key points covered to reinforce what you've learned. I find myself comparing the teaching structure of the book to the way most of us learn to swim.


Data Modeling Made Simple

Data Modeling Made Simple PDF Book Details:
Author: Steve Hoberman
Publisher: Technics Publications Llc
ISBN: 9780977140008
Size: 49.93 MB
Format: PDF
Category : Computers
Languages : en
Pages : 134
View: 6851

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Data Modeling Made Simple PDF

Data Modeling Made Simple by Steve Hoberman, Data Modeling Made Simple Books available in PDF, EPUB, Mobi Format. Download Data Modeling Made Simple books, Ever have a bad data day? If you are a business user, architect, analyst, designer or developer, then you have probably had some bad data days.It comes with the territory. Overcoming these problems is much easier ifyou have an in-depth understanding of the actual data. That's where adata model comes in handy. It's a diagram that uses text and symbolsto represent groupings of data, giving you a clear picture of yourbusiness and application environment


Sieben Wochen Sieben Datenbanken

Sieben Wochen  sieben Datenbanken PDF Book Details:
Author: Eric Redmond
Publisher: O'Reilly Germany
ISBN: 3868997911
Size: 66.63 MB
Format: PDF, Kindle
Category :
Languages : de
Pages : 363
View: 7038

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Sieben Wochen Sieben Datenbanken PDF

Data Modeling Made Simple by Eric Redmond, Sieben Wochen Sieben Datenbanken Books available in PDF, EPUB, Mobi Format. Download Sieben Wochen Sieben Datenbanken books,


Data Modeling For The Business

Data Modeling for the Business PDF Book Details:
Author: Steve Hoberman
Publisher: Technics Publications Llc
ISBN: 9780977140077
Size: 43.81 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 285
View: 4193

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Data Modeling For The Business PDF

Data Modeling Made Simple by Steve Hoberman, Data Modeling For The Business Books available in PDF, EPUB, Mobi Format. Download Data Modeling For The Business books, 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.


Data Modeling Master Class Training Manual 7th Edition

Data Modeling Master Class Training Manual 7th Edition PDF Book Details:
Author: Steve Hoberman
Publisher:
ISBN: 9781634621946
Size: 21.73 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 346
View: 2762

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Data Modeling Master Class Training Manual 7th Edition PDF

Data Modeling Made Simple by Steve Hoberman, Data Modeling Master Class Training Manual 7th Edition Books available in PDF, EPUB, Mobi Format. Download Data Modeling Master Class Training Manual 7th Edition books, This is the seventh edition of the training manual for the Data Modeling Master Class that Steve Hoberman teaches onsite and through public classes. This text can be purchased prior to attending the Master Class, the latest course schedule and detailed description can be found on Steve Hoberman's website, stevehoberman.com. The Master Class is a complete data modeling course, containing three days of practical techniques for producing conceptual, logical, and physical relational and dimensional and NoSQL data models. After learning the styles and steps in capturing and modeling requirements, you will apply a best practices approach to building and validating data models through the Data Model Scorecard(R). You will know not just how to build a data model, but how to build a data model well. Two case studies and many exercises reinforce the material and will enable you to apply these techniques in your current projects. Top 10 Objectives 1. Explain data modeling components and identify them on your projects by following a question-driven approach 2. Demonstrate reading a data model of any size and complexity with the same confidence as reading a book 3. Validate any data model with key "settings" (scope, abstraction, timeframe, function, and format) as well as through the Data Model Scorecard(R) 4. Apply requirements elicitation techniques including interviewing, artifact analysis, prototyping, and job shadowing 5. Build relational and dimensional conceptual and logical data models, and know the tradeoffs on the physical side for both RDBMS and NoSQL solutions 6. Practice finding structural soundness issues and standards violations 7. Recognize when to use abstraction and where patterns and industry data models can give us a great head start 8. Use a series of templates for capturing and validating requirements, and for data profiling 9. Evaluate definitions for clarity, completeness, and correctness 10. Leverage the Data Vault and enterprise data model for a successful enterprise architecture.


Datenintensive Anwendungen Designen

Datenintensive Anwendungen designen PDF Book Details:
Author: Martin Kleppmann
Publisher: O'Reilly
ISBN: 396010183X
Size: 22.95 MB
Format: PDF, Docs
Category : Computers
Languages : de
Pages : 652
View: 4111

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Datenintensive Anwendungen Designen PDF

Data Modeling Made Simple by Martin Kleppmann, Datenintensive Anwendungen Designen Books available in PDF, EPUB, Mobi Format. Download Datenintensive Anwendungen Designen books, Daten stehen heute im Mittelpunkt vieler Herausforderungen im Systemdesign. Dabei sind komplexe Fragen wie Skalierbarkeit, Konsistenz, Zuverlässigkeit, Effizienz und Wartbarkeit zu klären. Darüber hinaus verfügen wir über eine überwältigende Vielfalt an Tools, einschließlich relationaler Datenbanken, NoSQL-Datenspeicher, Stream-und Batchprocessing und Message Broker. Aber was verbirgt sich hinter diesen Schlagworten? Und was ist die richtige Wahl für Ihre Anwendung? In diesem praktischen und umfassenden Leitfaden unterstützt Sie der Autor Martin Kleppmann bei der Navigation durch dieses schwierige Terrain, indem er die Vor-und Nachteile verschiedener Technologien zur Verarbeitung und Speicherung von Daten aufzeigt. Software verändert sich ständig, die Grundprinzipien bleiben aber gleich. Mit diesem Buch lernen Softwareentwickler und -architekten, wie sie die Konzepte in der Praxis umsetzen und wie sie Daten in modernen Anwendungen optimal nutzen können. Inspizieren Sie die Systeme, die Sie bereits verwenden, und erfahren Sie, wie Sie sie effektiver nutzen können Treffen Sie fundierte Entscheidungen, indem Sie die Stärken und Schwächen verschiedener Tools kennenlernen Steuern Sie die notwenigen Kompromisse in Bezug auf Konsistenz, Skalierbarkeit, Fehlertoleranz und Komplexität Machen Sie sich vertraut mit dem Stand der Forschung zu verteilten Systemen, auf denen moderne Datenbanken aufbauen Werfen Sie einen Blick hinter die Kulissen der wichtigsten Onlinedienste und lernen Sie von deren Architekturen


Data Modeling Made Simple With Embarcadero Er Studio Data Architect

Data Modeling Made Simple with Embarcadero ER Studio Data Architect PDF Book Details:
Author: Steve Hoberman
Publisher:
ISBN: 9781634620925
Size: 25.99 MB
Format: PDF
Category :
Languages : en
Pages : 350
View: 1572

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Data Modeling Made Simple With Embarcadero Er Studio Data Architect PDF

Data Modeling Made Simple by Steve Hoberman, Data Modeling Made Simple With Embarcadero Er Studio Data Architect Books available in PDF, EPUB, Mobi Format. Download Data Modeling Made Simple With Embarcadero Er Studio Data Architect books, Build a working knowledge of data modeling concepts and best practices, along with how to apply these principles with ER/Studio. This second edition includes numerous updates and new sections including an overview of ER/Studio's support for agile development, as well as a description of some of ER/Studio's newer features for NoSQL, such as MongoDB's containment structure. You will build many ER/Studio data models along the way, applying best practices to master these ten objectives: 1.Know why a data model is needed and which ER/Studio models are the most appropriate for each situation 2.Understand each component on the data model and how to represent and create them in ER/Studio 3.Know how to leverage ER/Studio's latest features including those assisting agile teams and forward and reverse engineering of NoSQL databases 4.Know how to apply all the foundational features of ER/Studio 5.Be able to build relational and dimensional conceptual, logical, and physical data models in ER/Studio 6.Be able to apply techniques such as indexing, transforms, and forward engineering to turn a logical data model into an efficient physical design 7.Improve data model quality and impact analysis results by leveraging ER/Studio's lineage functionality and compare/merge utility 8.Be able to apply ER/Studio's data dictionary features 9.Learn ways of sharing the data model through reporting and through exporting the model in a variety of formats 10.Leverage ER/Studio's naming functionality to improve naming consistency, including the new Automatic Naming Translation feature. This book contains four sections: Section I introduces data modeling and the ER/Studio landscape. Learn why data modeling is so critical to software development and even more importantly, why data modeling is so critical to understanding the business. You will learn about the newest features in ER/Studio (including features on big data and agile), and the ER/Studio environment. By the end of this sectio


Data Modeling Made Simple

Data Modeling Made Simple PDF Book Details:
Author: Steve Hoberman
Publisher: Technics Publications Llc
ISBN: 9781935504481
Size: 12.11 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 268
View: 3785

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Data Modeling Made Simple PDF

Data Modeling Made Simple by Steve Hoberman, Data Modeling Made Simple Books available in PDF, EPUB, Mobi Format. Download Data Modeling Made Simple books, Data Modeling Made Simple with ER/Studio Data Architect will provide the business or IT professional with a practical working knowledge of data modeling concepts and best practices, along with how to apply these principles with ER/Studio. You'll build many ER/Studio data models along the way, applying best practices to master these ten objectives: 1. You will know why a data model is needed and which ER/Studio models are the most appropriate for each situation 2. You will be able to read a data model of any size and complexity with the same confidence as reading a book 3. You will know how to apply all the key features of ER/Studio 4. You will be able to build relational and dimensional conceptual, logical, and physical data models in ER/Studio 5. You will be able to apply techniques such as indexing, transforms, and forward engineering to turn a logical data model into an efficient physical design 6. You will improve data model quality and impact analysis results by leveraging ER/Studio's lineage functionality and compare/merge utility 7. You will achieve enterprise architecture through ER/Studio's repository and portal functionality 8. You will be able to apply ER/Studio's data dictionary features 9. You will learn ways of sharing the data model through reporting and through exporting the model in a variety of formats 10. You will leverage ER/Studio's naming functionality to improve naming consistency This book contains four sections: Section I introduces data modeling and the ER/Studio landscape. Learn why data modeling is so critical to software development and even more importantly, why data modeling is so critical to understanding the business. You will also learn about the ER/Studio environment. By the end of this section, you will have created and saved your first data model in ER/Studio and be ready to start modeling in Section II! Section II explains all of the symbols and text on a data model, including entities, attributes, relationships, domains, and keys. By the time you finish this section, you will be able to 'read' a data model of any size or complexity, and create a complete data model in ER/Studio. Section III explores the three different levels of models: conceptual, logical, and physical. A conceptual data model (CDM) represents a business need within a defined scope. The logical data model (LDM) represents a detailed business solution, capturing the business requirements without complicating the model with implementation concerns such as software and hardware. The physical data model (PDM) represents a detailed technical solution. The PDM is the logical data model compromised often to improve performance or usability. The PDM makes up for deficiencies in our technology. By the end of this section you will be able to create conceptual, logical, and physical data models in ER/Studio.Section IV discusses additional features of ER/Studio. These features include data dictionary, data lineage, automating tasks, repository and portal, exporting and reporting, naming standards, and compare and merge functionality.


Data Model Scorecard

Data Model Scorecard PDF Book Details:
Author: Steve Hoberman
Publisher: Technics Publications
ISBN: 1634620844
Size: 74.64 MB
Format: PDF, ePub, Mobi
Category : Computers
Languages : en
Pages : 202
View: 3974

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Data Model Scorecard PDF

Data Modeling Made Simple by Steve Hoberman, Data Model Scorecard Books available in PDF, EPUB, Mobi Format. Download Data Model Scorecard books, Data models are the main medium used to communicate data requirements from business to IT, and within IT from analysts, modelers, and architects, to database designers and developers. Therefore it’s essential to get the data model right. But how do you determine right? That’s where the Data Model Scorecard® comes in. The Data Model Scorecard is a data model quality scoring tool containing ten categories aimed at improving the quality of your organization’s data models. Many of my consulting assignments are dedicated to applying the Data Model Scorecard to my client’s data models – I will show you how to apply the Scorecard in this book. This book, written for people who build, use, or review data models, contains the Data Model Scorecard template and an explanation along with many examples of each of the ten Scorecard categories. There are three sections: In Section I, Data Modeling and the Need for Validation, receive a short data modeling primer in Chapter 1, understand why it is important to get the data model right in Chapter 2, and learn about the Data Model Scorecard in Chapter 3. In Section II, Data Model Scorecard Categories, we will explain each of the ten categories of the Data Model Scorecard. There are ten chapters in this section, each chapter dedicated to a specific Scorecard category: · Chapter 4: Correctness · Chapter 5: Completeness · Chapter 6: Scheme · Chapter 7: Structure · Chapter 8: Abstraction · Chapter 9: Standards · Chapter 10: Readability · Chapter 11: Definitions · Chapter 12: Consistency · Chapter 13: Data In Section III, Validating Data Models, we will prepare for the model review (Chapter 14), cover tips to help during the model review (Chapter 15), and then review a data model based upon an actual project (Chapter 16).


Data Modeling For Mongodb

Data Modeling for MongoDB PDF Book Details:
Author: Steve Hoberman
Publisher: Technics Publications Llc
ISBN: 9781935504702
Size: 23.62 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 226
View: 7062

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Data Modeling For Mongodb PDF

Data Modeling Made Simple by Steve Hoberman, Data Modeling For Mongodb Books available in PDF, EPUB, Mobi Format. Download Data Modeling For Mongodb books, Master how to data model MongoDB applications.


Data Modeling Master Class Training Manual 5th Edition

Data Modeling Master Class Training Manual 5th Edition PDF Book Details:
Author: Steve Hoberman
Publisher:
ISBN: 9781935504887
Size: 28.74 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 328
View: 7446

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Data Modeling Master Class Training Manual 5th Edition PDF

Data Modeling Made Simple by Steve Hoberman, Data Modeling Master Class Training Manual 5th Edition Books available in PDF, EPUB, Mobi Format. Download Data Modeling Master Class Training Manual 5th Edition books, This is the fifth edition of the training manual for the Data Modeling Master Class that Steve Hoberman teaches onsite and through public classes. This text can be purchased prior to attending the Master Class, the latest course schedule and detailed description can be found on Steve Hoberman's website, stevehoberman.com.The Master Class is a complete data modeling course, containing three days of practical techniques for producing conceptual, logical, and physical relational and dimensional and NoSQL data models. After learning the styles and steps in capturing and modeling requirements, you will apply a best practices approach to building and validating data models through the Data Model Scorecard®. You will know not just how to build a data model, but how to build a data model well. Two case studies and many exercises reinforce the material and will enable you to apply these techniques in your current projects.