Mastering SAS Programming for Data Warehousing - Monika Wahi

Mastering SAS Programming for Data Warehousing

An advanced programming guide to designing and managing Data Warehouses using SAS

(Autor)

Buch | Softcover
494 Seiten
2020
Packt Publishing Limited (Verlag)
978-1-78953-237-1 (ISBN)
49,85 inkl. MwSt
SAS software has been in existence for a long time and has been implemented in large, data-intensive environments, including data warehouses. This SAS book covers practical programming considerations to make when involving SAS in a data warehouse environment. You’ll be able to develop the skills you need to apply SAS in your working environment.
Build a strong foundation in SAS data warehousing by understanding data transformation code and policy, data stewardship and management, interconnectivity between SAS and other warehousing products, and print and web reporting

Key Features

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

Book DescriptionSAS 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.

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

Who this book is forThis 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.

Monika Wahi, MPH, CPH, is a well-published epidemiologist, biostatistician, informaticist, and data scientist. For over 20 years, Monika has worked at various governmental organizations and non-profits, and led consulting projects in academia and for governments both in the United States and internationally. She is President of DethWench Professional Services (DPS), which offers consulting and training in data science, specializing in public health and healthcare. Monika is proficient in SAS, R, Excel, and SQL, and is the author of many articles and online courses in data science and health data analytics.

Table of Contents

Using SAS in a Data Mart, Data Lake, or Data Warehouse
Reading Big Data into SAS
Helpful PROCs for Managing Data
Managing ETL in SAS
Managing Data Reporting in SAS
Standardizing Coding Using SAS Arrays
Designing and Developing ETL Code in SAS
Using Macros to Automate ETL in SAS
Debugging and Troubleshooting in SAS
Considering the User Needs of SAS Data Warehouses
Connecting the SAS Data Warehouse to Other Systems
Using the ODS for Visualization in SAS

Erscheinungsdatum
Verlagsort Birmingham
Sprache englisch
Maße 75 x 93 mm
Themenwelt Mathematik / Informatik Informatik
Mathematik / Informatik Mathematik Computerprogramme / Computeralgebra
Wirtschaft Betriebswirtschaft / Management
ISBN-10 1-78953-237-X / 178953237X
ISBN-13 978-1-78953-237-1 / 9781789532371
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich