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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

Using the SAS XPT format

Because the datasets in SAS's native dataset format, *.SAS7bdat, take up a lot of space, this makes it challenging to move big SAS datasets from one host environment to another. For this reason, SAS invented the XPT format. This section explains the following:

  • The advantages, disadvantages, optimal uses, and features of storing datasets in XPT format

  • How to create an XPT file from a *.SAS7bdat file, and how to convert the XPT file back to a *.SAS7bdat file

  • The difference between using PROC COPY and PROC CPORT/CIMPORT in creating and extracting data from an XPT file

This section will provide you with a comprehensive understanding of the XPT file format so you can determine whether XPT could be helpful for archiving or transporting data in your data warehouse, data mart, or data lake.

Storing data in XPT format

Although the first worldwide release of SAS was in the 1970s, it wasn't until the 1980s that there was a need to...

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