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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 presented an overview of how array processing is used in a SAS data warehouse for ETL, and provided context for the challenges and decisions that SAS data managers face when making choices about array processing in a SAS data warehouse. First, we went over scenarios where arrays are useful in processing, and we created flags and grouped variables based on native variables using arrays inside a data step. We discussed how these variables can become part of index variables, as well as issues to consider when serving up index variables or their components in the SAS data warehouse.

Because arrays are important to use in SAS processing to improve processing efficiency, we went over ways to build efficient array code through renaming variables, as well as through using conditions. Examples were provided about ways to document array usage for both internal and external stakeholders. Finally, we reviewed the limitations imposed by the constraints around variable naming...

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