Download PDF Data Modeling Master Class Training Manual 6th Edition: Steve Hoberman’s Best Practices Approach to Developing a Competency in Data Modeling

Download PDF Data Modeling Master Class Training Manual 6th Edition: Steve Hoberman’s Best Practices Approach to Developing a Competency in Data Modeling

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Data Modeling Master Class Training Manual 6th Edition: Steve Hoberman’s Best Practices Approach to Developing a Competency in Data Modeling

Download PDF Data Modeling Master Class Training Manual 6th Edition: Steve Hoberman’s Best Practices Approach to Developing a Competency in Data Modeling

Wir können nicht in der Lage sein, Sie zu lesen machen genießen, noch Data Modeling Master Class Training Manual 6th Edition: Steve Hoberman’s Best Practices Approach To Developing A Competency In Data Modeling werden Sie führen Lesung genießen mit jetzt beginnen. Buch ist das Startfenster des brandneue Globus zu öffnen. Die Kugel, die Sie wünschen, ist in der viel bessere Phase und auch Ebene. Welt wird sicherlich helfen Sie ständig das Prestige Stufe des Lebens zu glätten. Sie wissen, ist dies einige davon, wie Lesen Sie die Güte geben. In dieser Situation Sie mehr Bücher, mehr Wissen erfahren Sie erkennen, jedoch könnte dies darauf hinweisen, auch das komplette birthed ist.

Klappentext

This is the sixth edition of the training manual for the Data Modeling Master Class that Steve Hoberman teaches onsite and through public classes. This text can be purchased prior to attending the Master Class, the latest course schedule and detailed description can be found on Steve Hoberman's website, stevehoberman.com.The Master Class is a complete data modeling course, containing three days of practical techniques for producing conceptual, logical, and physical relational and dimensional and NoSQL data models. After learning the styles and steps in capturing and modeling requirements, you will apply a best practices approach to building and validating data models through the Data Model Scorecard®. You will know not just how to build a data model, but how to build a data model well. Two case studies and many exercises reinforce the material and will enable you to apply these techniques in your current projects.Top 10 Objectives 1. Explain data modeling components and identify them on your projects by following a question-driven approach 2. Demonstrate reading a data model of any size and complexity with the same confidence as reading a book 3. Validate any data model with key “settings” (scope, abstraction, timeframe, function, and format) as well as through the Data Model Scorecard® 4. Apply requirements elicitation techniques including interviewing, artifact analysis, prototyping, and job shadowing 5. Build relational and dimensional conceptual and logical data models, and know the tradeoffs on the physical side for both RDBMS and NoSQL solutions 6. Practice finding structural soundness issues and standards violations 7. Recognize when to use abstraction and where patterns and industry data models can give us a great head start 8. Use a series of templates for capturing and validating requirements, and for data profiling 9. Evaluate definitions for clarity, completeness, and correctness 10. Leverage the Data Vault and enterprise data model for a successful enterprise architecture.

Über den Autor und weitere Mitwirkende

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 over ten 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®, Conference Chair of the Data Modeling Zone conference, recipient of the 2012 Data Administration Management Association (DAMA) International Professional Achievement Award, and highest rated workshop presenter at Enterprise Data World 2014 and 2015. Steve can be reached at me@stevehoberman.com, @DataMdlRockStar on Twitter, or through Steve Hoberman on Linked-In.

Produktinformation

Taschenbuch: 346 Seiten

Verlag: Technics Publications; Auflage: 6 (1. September 2015)

Sprache: Englisch

ISBN-10: 1634620909

ISBN-13: 978-1634620901

Größe und/oder Gewicht:

21,6 x 2 x 27,9 cm

Durchschnittliche Kundenbewertung:

Schreiben Sie die erste Bewertung

Amazon Bestseller-Rang:

Nr. 243.218 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)

Data Modeling Master Class Training Manual 6th Edition: Steve Hoberman’s Best Practices Approach to Developing a Competency in Data Modeling PDF
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Data Modeling Master Class Training Manual 6th Edition: Steve Hoberman’s Best Practices Approach to Developing a Competency in Data Modeling PDF

Data Modeling Master Class Training Manual 6th Edition: Steve Hoberman’s Best Practices Approach to Developing a Competency in Data Modeling PDF

Data Modeling Master Class Training Manual 6th Edition: Steve Hoberman’s Best Practices Approach to Developing a Competency in Data Modeling PDF

Data Modeling Master Class Training Manual 6th Edition: Steve Hoberman’s Best Practices Approach to Developing a Competency in Data Modeling PDF