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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 8: Using Macros to Automate ETL in SAS

Up to now, we have learned how to run PROCs and data steps in SAS, especially for extract, transform, and load (ETL) protocols, which make up a lot of the work of running a SAS data warehouse. In this chapter, we will learn about SAS macros and macro variables, and how they can help us with ETL.

First, we will learn how to build base code, then convert it to a macro. We will do this with both PROCs and data steps. Next, we will talk about different ways of storing and calling macros. Finally, we will look at an example of using macros to automate loading transformed data.

This chapter will teach you the following skills:

  • How to make transformation macros by developing standalone data step code first, and then rebuilding it into a macro

  • How to standardize ETL in a data warehouse using SAS macros, and the advantages and disadvantages of using macros for this

  • How to use macros to load transformed datasets into a SAS...

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