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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

Summary

This chapter reviewed the different policies and procedures that need to be set up in a SAS data warehouse to ensure proper management of ETL. First, we reviewed how to arrange storage in the SAS data warehouse, and how to link different storage levels with tasks performed by staff in different user groups. Next, we talked about the status of different datasets in the data warehouse, and how to set naming conventions for these datasets.

Third, we tackled the topic of SAS arrays, and reviewed how using arrays in ETL code can impact variable naming conventions, which we also discussed. Fourth, we covered naming conventions and style for code. Finally, we considered guidance for setting policies for SAS formats and labels. We also reviewed recommendations for implementing data transfers and other policies.

Although these topics are largely administrative, they do have technical components, especially with respect to storage allocation and naming conventions for various elements...

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