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1. DATA MODELING MADE SIMPLE WITH CA ERWIN DATA MODELER R8 HOW TO
2. DATA MODELING MADE SIMPLE WITH CA ERWIN DATA MODELER R8 PROFESSIONAL

Become confident creating tables, columns, indexes, and views.

DATA MODELING MADE SIMPLE WITH CA ERWIN DATA MODELER R8 HOW TO

Part V explains the physical data model and how to convert a logical data model to a physical data model in erwin DM. 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 III covers the design layer technique and its application using erwin DM, distinguishing conceptual, logical, physical, and operational data models. Part I provides a foundation in data modeling and Part II a foundation in erwin DM. 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. 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. Steve and Jeff start from the basics, explaining data modeling concepts and how to get up and running with erwin DM (erwin DM). Master erwin DM to deliver robust and precise designs for both operational and analytical projects. 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 CA ERWIN DATA MODELER R8 PROFESSIONAL

This book provides the business or IT professional with a practical working knowledge of data modelling concepts and best practices.

We need to improve how we manage data - and the most valuable tool for explaining, vaildating and managing data is a data model. Data issues don't always make the front page, yet they exist within every organisation. Practice exercises and walk through a case study to reinforce your modelling skills.Read today's business headlines and you will see that many issues stem from people not having the right data at the right time. Know how to evaluate toolsets for building and storing your models. Learn about the High-Level Data Model and master the techniques for building one, including a comprehensive ten-step approach. 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. The High-Level Data Model is a simplified view of our complex environment. 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.