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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

In this chapter, we went over the different ways to serve SAS data to other systems, and different ways to connect SAS data warehouse environments to non-SAS storage. First, we discussed preparing data extracts to be served up to another environment asynchronously. We went over de-identifying data and implementing data de-identification in the warehouse workflow, and what would be needed to serve up data in a star schema. Next, we talked about connecting a SAS data warehouse to non-SAS data storage using SAS/ACCESS and an ODBC connection. We discussed how views work in PROC SQL, and how SAS and PROC SQL language can be used for data transfer. We looked at copying tables into a SAS database from a SQL database this way, as well as exporting SAS tables from our warehouse into a SQL database. Finally, we talked about how data transfer paradigms differ when being done for reporting purposes.

If you work at a data warehouse, you will likely be asked to do tasks such as the ones...

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Mastering SAS Programming for Data Warehousing
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