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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

Setting up an analytic environment

An analytic environment conceptually refers to a technological environment in which analytics takes place. This can be as simple as a designated directory on a hard drive for storing files associated with analyzing a small survey dataset. In SAS data warehousing, the analytic environment encompasses the parts of the data warehouse in which analytics take place. While this is not a very specific definition, it can be better understood when thinking of permissions associated with user groups. Analysts and developers who build and maintain the SAS warehouse need access to the parts of the analytic environment they must use in order to perform their functions. Users who are outside the analytic environment could be considered end users of the SAS data warehouse. These include readers of reports from the SAS data warehouse or users of a web dashboard placed on data from a SAS data warehouse.

Setting up and running a SAS data warehouse requires a lot...

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