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Mastering SAS Programming for Data Warehousing

You're reading from   Mastering SAS Programming for Data Warehousing An advanced programming guide to designing and managing Data Warehouses using SAS

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Product type Paperback
Published in Oct 2020
Publisher Packt
ISBN-13 9781789532371
Length 494 pages
Edition 1st Edition
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Author (1):
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Monika Wahi Monika Wahi
Author Profile Icon Monika Wahi
Monika Wahi
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Table of Contents (18) Chapters Close

Preface 1. Section 1: Managing Data in a SAS Data Warehouse
2. Chapter 1: Using SAS in a Data Mart, Data Lake, or Data Warehouse FREE CHAPTER 3. Chapter 2: Reading Big Data into SAS 4. Chapter 3: Helpful PROCs for Managing Data 5. Chapter 4: Managing ETL in SAS 6. Chapter 5: Managing Data Reporting in SAS 7. Section 2: Using SAS for Extract-Transform-Load (ETL) Protocols in a Data Warehouse
8. Chapter 6: Standardizing Coding Using SAS Arrays 9. Chapter 7: Designing and Developing ETL Code in SAS 10. Chapter 8: Using Macros to Automate ETL in SAS 11. Chapter 9: Debugging and Troubleshooting in SAS 12. Section 3: Using SAS When Serving Warehouse Data to Users
13. Chapter 10: Considering the User Needs of SAS Data Warehouses 14. Chapter 11: Connecting the SAS Data Warehouse to Other Systems 15. Chapter 12: Using the ODS for Visualization in SAS 16. Assessments 17. Other Books You May Enjoy

Chapter 10

  1. One reason why it is helpful to consider both analysts and developers as user classes in a data warehouse or data lake is because they both have unique sets of needs that should be served. Serving their needs will increase their satisfaction, which is important for different reasons. Increasing the satisfaction of analyst users will increase their ability to provide analytic output, and that will increase the value of the data system. Increasing the satisfaction of developer users will improve their ability to do their job efficiently, which will also improve the data system. Another reason to consider them user classes is that, as a practical matter, permissions should be granted on the basis of subclasses of user functions. Since these subclasses apply to both analysts and developers, it is helpful to have user classes of both analysts and developers.

  2. There is a similarity between analyst users of data lakes and developer users of data warehouses, and that is...

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