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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

Conditions and index variables in array processing

This section will continue to demonstrate how array processing is used in SAS warehousing when performing data steps as part of ETL. First, a conditional array will be demonstrated, and the reasoning behind adding conditions to array processing will be explained. This will be followed by a discussion on creating and serving up index variables from variables that are output by the array. Finally, this section will touch on the topic of documenting and standardizing array processing in a SAS data warehouse.

Adding a condition to array processing

In the previous section, we took all 11 co-morbidity variables as an input array and generated a set of 11 flags as part of an output array. Even though the DIABETE3 variable was coded slightly differently than the other input variables, the data step that created the flags was based on common coding among all 11 variables, which was where 1 = Yes. Let's imagine that this time, we...

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