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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 introduced you to the approaches SAS takes to reporting. First, we reviewed the function of the ODS, and used it to output internal data tables from a PROC. Next, we used the ODS to save graphical output to *.pdf, *.rtf, and *.htm formats. These examples reflect SAS's first upgrades and modifications aimed at enabling the programmer to output graphics and data from SAS PROCs.

SAS subsequently created PROCs for the express purpose of leveraging the ODS for attractive output. We went over PROC REPORT and PROC TABULATE, which is a PROC used specifically for developing reports in tabular format. Next, we practiced making plots using PROC SGPLOT, PROC SGPANEL, and PROC SGSCATTER. Like PROC TABULATE, these graphical PROCs provide more options for customization than PROCs that produce graphics as an option.

However, the greatest options for customization lie in using PROC TEMPLATE to design templates coupled with PROC SGRENDER to connect datasets to templates...

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Mastering SAS Programming for Data Warehousing
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