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Mastering SAS Programming for Data Warehousing

Mastering SAS Programming for Data Warehousing

By : Monika Wahi
4.4 (5)
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Mastering SAS Programming for Data Warehousing

Mastering SAS Programming for Data Warehousing

4.4 (5)
By: Monika Wahi

Overview of this book

SAS is used for various functions in the development and maintenance of data warehouses, thanks to its reputation of being able to handle ’big data’. This book will help you learn the pros and cons of storing data in SAS. As you progress, you’ll understand how to document and design extract-transform-load (ETL) protocols for SAS processes. Later, you’ll focus on how the use of SAS arrays and macros can help standardize ETL. The book will also help you examine approaches for serving up data using SAS and explore how connecting SAS to other systems can enhance the data warehouse user’s experience. By the end of this data management book, you will have a fundamental understanding of the roles SAS can play in a warehouse environment, and be able to choose wisely when designing your data warehousing processes involving SAS.
Table of Contents (18 chapters)
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1
Section 1: Managing Data in a SAS Data Warehouse
7
Section 2: Using SAS for Extract-Transform-Load (ETL) Protocols in a Data Warehouse
12
Section 3: Using SAS When Serving Warehouse Data to Users

Summary

This chapter provided an overview of planning the ETL approach and creating transformation code. First, we selected native variables to include in our SAS data warehouse, then designed transformed variables to derive during ETL. We used PROC FREQ and PROC UNIVARIATE to study our native variables and make good design decisions about our transformed variables. We documented our decisions in a data dictionary, which we then used as a guide when we created our transformation code. We used SAS data steps to create grouping variables and two-state flags and recoded continuous variables. We checked the variables for accuracy in recoding as we created them, and then we exported a final analytic dataset.

These skills are important to know when running a data warehouse. Making a data dictionary is a great skill to have for planning variables for transformation, as well as for keeping documentation about both native and transformed variables. It is helpful to become adept at using...

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Mastering SAS Programming for Data Warehousing
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