Mastering SAS Programming for Data Warehousing: An advanced programming guide to designing and managing Data Warehouses using SAS

Monika Wahi

€41.99

4.4 (5 Ratings)

Paperback Oct 2020 494 pages 1st Edition

Monika Wahi

€41.99

4.4 (5 Ratings)

Paperback Oct 2020 494 pages 1st Edition

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Key benefits

Understand how to use SAS macros for standardizing extract, transform, and load (ETL) protocols
Develop and use data curation files for effective warehouse management
Learn how to develop and manage ETL, policies, and print and web reports that meet user needs

Description

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.

Who is this book for?

This book is for data architects, managers leading data projects, and programmers or developers using SAS who want to effectively maintain a data lake, data mart, or data warehouse.

What you will learn

Develop efficient ways to manage data input/output (I/O) in SAS
Create and manage extract, transform, and load (ETL) code in SAS
Standardize ETL through macro variables, macros, and arrays
Identify data warehouse users and ensure their needs are met
Design crosswalk and other variables to serve analyst needs
Maintain data curation files to improve communication and management
Use the output delivery system (ODS) for print and web reporting
Connect other products to SAS to optimize storage and reporting

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Economy: Delivery to most addresses in the US within 10-15 business days

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Economy: Delivery to most addresses in the U.K. within 7-9 business days.
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Rest of the World:

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Unfortunately, due to several restrictions, we are unable to ship to the following countries:

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Murphy Choy Jun 15, 2021

I believe the book provides a very comprehensive insight into the process of building a data warehouse and how SAS can be used to develop one. Many useful tricks and tips will help folks building their first data warehouse. Highly recommended as a classic reference.

Amazon Verified review

Anandaroop Jan 29, 2021

The so called "new" book had a crease on the coverpage

Gracie Nov 19, 2020

I have followed Dr. Wahi’s teachings for over two years. I still use some of her codes for my healthcare data analysis in SAS. When I came across a book, I knew it would be a wonderful book. This book covers practical SAS programming. The book starts with good explanations of the concepts of big data, important terminologies. Then it reviews the basic SAS programming and its essential functions for data managing such as importing and exporting data, exploratory data analysis, data visualization. Next, it enters to more advanced topics SQL and macros, and ETL. The explanations are filled with essential concepts, practical examples, and questions.Monika Wahi has converted a difficult subject into something that is enjoyable to read. The authors do a fine job of explaining each process, when to use it, and how to interpret the results. Their examples are easy to understand, and the tips they provide are helpful.

Roger Nov 06, 2020

This book provides background, examples, rationale, and the pros/cons of using SAS in the areas of ETL, data management, policy development, and more. By providing some historical context, Wahi creates a foundation to better understand the development and application of certain SAS statements over time. She explains multiple ways of how to perform a task while providing examples of code, log, and output. She provides detailed explanations of code, provides data to support one method over another, and explains the pros and cons of each method. Through the plethora of examples, she points out the nuances in the various data file types, code, and logs, and she addresses naming tips for data and code along the way. Not only does the book’s coding examples and explanations provide a methodology for data management, but she also discusses important considerations and rationale in setting up policy regarding data management.The reader should probably have some basic foundation in SAS or be currently learning it. The book is written for both active and passive learning. She provides data and code to practice while reading; however, the code, logs, and output are in the book which allows one to follow along and see and compare the results without doing the hands-on component. Although some of the deeper computer language might be over the head of a novice, it provides brief snippets of detail for the more experienced SAS programmer while not losing the interest of those less experienced. Additionally, even with little knowledge of data management or ETL, this book is extremely beneficial in truly understanding the benefits and limitations of various statements and in having examples well-explained, thereby, serving as references. Additionally, each chapter is enhanced with a brief chapter outline in the beginning and ends with a summary and questions to challenge the reader with application-level questions.

Alexandre Santos Guedes Oct 30, 2020

First, I have to say that I'm an R Language learner and I haven't used SAS before. I was worried about it because I don't have access to the SAS server paid edition. However, the book already starts explaining to the reader where to find a free edition of the SAS server. It is a plus for the book.It also brings many examples and exercises that guide the readers to improve their SAS skills.I suggest improvements to the layout of the images, tables, and graphs for the next editions.In conclusion, I recommend the book.

Mastering SAS Programming for Data Warehousing: An advanced programming guide to designing and managing Data Warehouses using SAS

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