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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

Questions

  1. What is the XPT format for?

  2. What does the GUESSINGROWS option in PROC IMPORT do?

  3. How can PROC IMPORT help the analyst develop infile code, even if the procedure hits an error?

  4. Why is data from fixed-width datasets challenging to read into SAS without documentation?

  5. Imagine you have a *.csv file that you want to convert to a *.SAS7bdat dataset to transfer to a coworker using static media. How would you use LIBNAME statements in your code?

  6. Imagine your company assembles a large dataset once per year using SAS and analyzes it in SAS for their annual report. The company rarely uses the dataset once the report is generated, and therefore, it can be kept in archives. What is the optimal format for storing these yearly datasets? State your rationale.

  7. Imagine you are a developer at a SAS data warehouse. A data provider for your warehouse asks you in what format you would like to receive the data. You have the choice between *.csv, *.txt, or *.SAS7bdat...

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Mastering SAS Programming for Data Warehousing
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