You're reading from Mastering SAS Programming for Data Warehousing An advanced programming guide to designing and managing Data Warehouses using SAS

Product type Paperback

Published in Oct 2020

Publisher Packt

ISBN-13 9781789532371

Length 494 pages

Edition 1st Edition

Tools

SAS

Concepts

Application Development

Author (1):

Monika Wahi

View More author details

Table of Contents (18) Chapters

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

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Chapter 10: Considering the User Needs of SAS Data Warehouses

Maintaining a data warehouse entails so much work that it is important to step back once in a while and remind ourselves that the point of all this work is to serve data warehouse customers or users. This chapter focuses on how to serve the needs for the two main classes of SAS data warehouse users: analysts and developers.

First, we examine the roles of analysts and developers, and consider how their needs differ. Next, we discuss how to serve the needs of analyst users, through providing data access and serving up useful foreign keys and crosswalk variables. After that, we focus on serving the needs of warehouse developers through policies and procedures overseen by a data stewardship committee, and through providing and maintaining standardized curation and other support.

We will learn the following in this chapter: