Data Modeling Made Simple with ER/Studio Data Architect
Cód:
491_9781634620925
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:Know why a data model is needed and which ER/Studio models are the most appropriate for each situationUnderstand each component on the data model and how to represent and create them in ER/StudioKnow how to leverage ER/Studio’s latest features including those assisting agile teams and forward and reverse engineering of NoSQL databasesKnow how to apply all the foundational features of ER/StudioBe able to build relational and dimensional conceptual, logical, and physical data models in ER/StudioBe able to apply techniques such as indexing, transforms, and forward engineering to turn a logical data model into an efficient physical designImprove data model quality and impact analysis results by leveraging ER/Studio’s lineage functionality and compare/merge utilityBe able to apply ER/Studio’s data dictionary featuresLearn ways of sharing the data model through reporting and through exporting the model in a variety of formatsLeverage 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 b
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