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
Book 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.
What you will learn
Who this is book is 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.
"synopsis" may belong to another edition of this title.
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.
"About this title" may belong to another edition of this title.
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