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Data Modeling Made Simple with Embarcadero ER Studio Data Architect (2nd Ed) 2015- Steve Hoberman {ePub, AZW3} [Dr Soc]

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  Data Modeling Made Simple with Embarcadero ER/Studio Data Architect (2nd Ed)
 

  Author: Steve Hoberman 
  Paperback: 350 pages
  Publisher: Technics Publications;
Second edition (October 12, 2015)
  Language: English
  ISBN-10: 1634620925
  ISBN-13: 978-1634620925
  Format: ePub, AZW3 (Kindle), PDF (converted)
  
  
  
  Summary:
  
  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 situation
  Understand each component on the data
model and how to represent and create them in ER/Studio
  Know how to leverage ER/Studio's latest features
including those assisting agile teams and forward and reverse engineering of NoSQL databases
  Know how to apply
all the foundational features of ER/Studio
  Be able to build relational and dimensional conceptual, logical, and
physical data models in ER/Studio
  Be able to apply techniques such as indexing, transforms, and forward
engineering to turn a logical data model into an efficient physical design
  Improve data model quality and impact
analysis results by leveraging ER/Studio's lineage functionality and compare/merge utility
  Be able to apply
ER/Studio's data dictionary features
  Learn ways of sharing the data model through reporting and through exporting
the model in a variety of formats
  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 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.
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