Data Modeling Made Simple with Embarcadero ER/Studio Data Architect, 2nd edition
- نوع فایل : کتاب
- زبان : انگلیسی
- نویسنده : Steve Hoberman
- چاپ و سال / کشور: 2015
- تعداد صفحه : 350
- شابک / ISBN : 1634620925
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/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.
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.
