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 11: Connecting the SAS Data Warehouse to Other Systems

When SAS was originally designed, it was meant to run entirely in its own SAS environment. Data editing, analysis, reporting, and visualization all happened within the same SAS environment. But as the world has evolved, we now have the internet, and SAS has evolved to include interoperability features.

Now, SAS data can be served to other systems, and the SAS/ACCESS component can now be used to connect to non-SAS data storage, such as other data warehouses in SQL. Reporting and visualization of SAS data can now take place outside of SAS using software optimized for these functions. This chapter will cover these improvements in the interoperability of SAS.

This chapter will teach the following skills:

How to design a system where data from a SAS data warehouse is served up in a non-SAS application, such as serving up a star schema in IBM Cognos
How to create a connection between a SAS data warehouse and...