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Data Modeling Made Simple with Embarcadero ER/Studio Data Architect: Adapting to

Description: FREE SHIPPING UK WIDE Data Modeling Made Simple with Embarcadero ER/Studio Data Architect by Steve Hoberman Build a working knowledge of data modeling concepts and best practices, along with how to apply these principles with ER/Studio. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description 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/Studios support for agile development, as well as a description of some of ER/Studios newer features for NoSQL, such as MongoDBs 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/Studios 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/Studios lineage functionality and compare/merge utility. 8. Be able to apply ER/Studios 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/Studios 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 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. Author Biography Steve Hoberman balances the formality and precision of data modeling with the realities of building software systems with severe time, budget, and people constraints. In his consulting and teaching, he focuses on templates, tools, and guidelines to reap the benefits of data modeling with minimal investment. He taught his first data modeling class in 1992 and has educated more than 10,000 people about data modeling and business intelligence techniques since then, spanning every continent except Africa and Antarctica. Steve is the author of seven books on data modeling, including the bestseller Data Modeling Made Simple. He is the founder of the Design Challenges group, inventor of the Data Model Scorecard(R), Conference Chair of the Data Modeling Zone conference, recipient of the 2012 Data Administration Management Association (DAMA) International Professional Achievement Award, and highest rated presenter at Enterprise Data World 2014. Steve can be reached at , @DataMdlRockStar on Twitter, or through Steve Hoberman on Linked-In. Details ISBN1634620925 Author Steve Hoberman Short Title DATA MODELING MADE SIMPLE W/EM Language English Edition 2nd ISBN-10 1634620925 ISBN-13 9781634620925 Media Book Format Paperback Birth 1968 Pages 350 Year 2015 Edition Description Second Imprint Technics Publications LLC Place of Publication Bradley Beach Country of Publication United States AU Release Date 2015-10-15 NZ Release Date 2015-10-15 UK Release Date 2015-10-15 Subtitle Adapting to Agile Data Modeling in a Big Data World Publisher Technics Publications LLC DEWEY 005.73 Audience Professional & Vocational Publication Date 2015-10-01 US Release Date 2015-10-01 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! 30 DAY RETURN POLICY No questions asked, 30 day returns! FREE DELIVERY No matter where you are in the UK, delivery is free. 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ISBN-13: 9781634620925

Book Title: Data Modeling Made Simple with Embarcadero ER/Studio Data Archite

Item Height: 235 mm

Item Width: 190 mm

Author: Steve Hoberman

Publication Name: Data Modeling Made Simple with Embarcadero ER/Studio Data Architect: Adapting to Agile Data Modeling in a Big Data World

Format: Paperback

Language: English

Publisher: Technics Publications LLC

Subject: Computer Science

Publication Year: 2015

Type: Textbook

Item Weight: 730 g

Number of Pages: 350 Pages

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