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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

Developing policy

SAS data warehouses require policies for smooth management, and this section focuses on some high-priority policies relating to ETL that need to be developed to ensure that the data warehouse functions responsibly. First, how SAS format and label policies can be developed and implemented is described. Next, a spotlight is placed on procedures transferring data into the data warehouse from external sources and transferring data from inside the warehouse to external recipients.

Because both of these activities increase the risk for the data warehouse, policies that can ensure these tasks are done with reduced risk are recommended. Finally, other policies that are optimal for a SAS data warehouse to implement are suggested.

Setting format and label policies

In Chapter 3, Helpful PROCs for Managing Data, we went over how SAS labels can be applied to variables in SAS datasets as text strings that annotate the variables, explaining what they are. We also went over...

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