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

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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 12: Using the ODS for Visualization in SAS

This chapter will focus on the basics of using the SAS output delivery system (ODS) for data visualization, both in print and on the web. Now, the ODS is embedded in SAS reporting functions and does not need to be called up separately.

This chapter covers how complex legacy code, containing arrays, macro variables, and macros, has been built and maintained for SAS reporting in print format. This SAS code is often continuously maintained, so migrating away from the SAS platform for this type of reporting poses a challenge. In contrast, SAS reporting to the web, which also deploys the ODS, poses its own challenges with input/output (I/O) and other limitations. We will cover two tools – the SAS Enterprise Guide and SAS Viya – that can help with these challenges. Finally, we will cover using other applications, such as R and Tableau, to visualize SAS data, and considerations that SAS warehouse developers must make when...