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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
Tools
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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

Section 3: Using SAS When Serving Warehouse Data to Users

This section focuses on ways to use SAS in data warehousing so as to meet user requirements. First, we consider the different user classes of a SAS data warehouse, and what their needs are. To fulfill those needs, we cover setting data stewardship policies, creating data curation files, and serving up specific types of warehouse variables that could be particularly helpful to analyst users.

Next, we discuss interconnectivity between SAS and other systems, such as SQL. We cover packaging SAS data for export, as well as using an open database connectivity (ODBC) protocol with the SAS/ACCESS component to connect to another live data environment.

Finally, we cover how visualizations currently use the output delivery system (ODS) in SAS, and how serving SAS data up for print format is different than serving it up on the web. We review an example of an interactive online dashboard in SAS, and discuss SAS's new analytics...

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