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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 3: Helpful PROCs for Managing Data

The purpose of this chapter is to introduce a few helpful PROCs and data step maneuvers that can be particularly useful when managing a Statistical Analysis System (SAS) data warehouse. First, the chapter will describe how to use PROC CONTENTS to understand what is in a dataset. Next, the use of SAS formats and SAS labels to attach metadata to variables and values will be covered. The chapter will demonstrate examples of applying labels, user-defined formats, and SAS native formats to variables. We will also go over what happens when leaders of a SAS data warehouse choose to use SAS labels and formats in the warehouse. If labels and formats are used, the data will display differently in SAS windows and certain PROCs, which may or may not be desired. Also, the choice to maintain labels and formats adds a specific type of management layer to the data warehouse, which is described along with alternatives to using labels and formats. Finally,...

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