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Biml Book: Business Intelligence and Data Warehouse Automation 1st ed. [Pehme köide]

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  • Formaat: Paperback / softback, 484 pages, kõrgus x laius: 235x155 mm, kaal: 795 g, 251 Illustrations, color; 9 Illustrations, black and white; XXXVII, 484 p. 260 illus., 251 illus. in color., 1 Paperback / softback
  • Ilmumisaeg: 31-Oct-2017
  • Kirjastus: APress
  • ISBN-10: 1484231341
  • ISBN-13: 9781484231340
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  • Pehme köide
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Biml Book: Business Intelligence and Data Warehouse Automation 1st ed.Suurem pilt
  • Formaat: Paperback / softback, 484 pages, kõrgus x laius: 235x155 mm, kaal: 795 g, 251 Illustrations, color; 9 Illustrations, black and white; XXXVII, 484 p. 260 illus., 251 illus. in color., 1 Paperback / softback
  • Ilmumisaeg: 31-Oct-2017
  • Kirjastus: APress
  • ISBN-10: 1484231341
  • ISBN-13: 9781484231340
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781484231340.html
Märksõnad:
Learn Business Intelligence Markup Language (Biml) for automating much of the repetitive, manual labor involved in data integration. We teach you how to build frameworks and use advanced Biml features to get more out of SQL Server Integration Services (SSIS), Transact-SQL (T-SQL), and SQL Server Analysis Services (SSAS) than you ever thought possible.

The first part of the book starts with the basics—getting your development environment configured, Biml syntax, and scripting essentials.

Whether a beginner or a seasoned Biml expert, the next part of the book guides you through the process of using Biml to build a framework that captures both your design patterns and execution management. Design patterns are reusable code blocks that standardize the approach you use to perform certain types of data integration, logging, and other key data functions. Design patterns solve common problems encountered when developing data integration solutions. Because you do not have to build the code from scratch each time, design patterns improve your efficiency as a Biml developer.

In addition to leveraging design patterns in your framework, you will learn how to build a robust metadata store and how to package your framework into Biml bundles for deployment within your enterprise.

In the last part of the book, we teach you more advanced Biml features and capabilities, such as SSAS development, T-SQL recipes, documentation autogeneration, and Biml troubleshooting.

The Biml Book:
  • Provides practical and applicable examples
  • Teaches you how to use Biml to reduce development time while improving quality
  • Takes you through solutions to common data integration and BI challenges
What You'll Learn
  • Master the basics of Business Intelligence Markup Language (Biml)
  • Study patterns for automating SSIS package generation
  • Build a Biml Framework
  • Import and transform database schemas
  • Automate generation of scripts and projects
Who This Book Is For

BI developers wishing to quickly locate previously tested solutions, Microsoft BI specialists, those seeking more information about solution automation and code generation, and practitioners of Data Integration Lifecycle Management (DILM) in the DevOps enterprise
Foreword
Introduction

Part I: Learning Biml
1. Biml Tools
2. Introduction to the Biml Language
3. Basic Staging Operations
4. Importing Metadata
5. Reusing Code, Helper Classes, and Methods
Part II: Biml Frameworks
6. A Custom Biml Framework
7. Using Biml as an SSIS Design Patterns Engine
8. Integration with Custom SSIS Execution Framework
9. Metadata Automation
10. Advanced Biml Frameworks and BimlFlex

Part III: Biml Topics
11. Biml and Analysis Services
12. Biml for T-SQL and other little helpers
13. Documenting Your Biml Solution
14. Troubleshooting Metadata
15. Troubleshooting Biml

Part IV: Appendices
16. A. Source Control
17. B. Parallel Load Patterns in Biml
18. C. Metadata Persistence
Andy Leonard is a Data Philosopher at Enterprise Data & Analytics. He also is an SSIS trainer, consultant, and developer. Andy is a Business Intelligence Markup Language (Biml) developer and BimlHero. He also is a SQL Server database and data warehouse developer, community mentor, engineer, and farmer. Andy is a co-author of SQL Server Integration Services Design Patterns, and author of Managing Geeks - A Journey of Leading by Doing.