Mastering SAS Programming for Data Warehousing : An advanced programming guide to designing and managing Data Warehouses using SAS
Language: English
Published by Packt Publishing, 2020
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
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nach der Bestellung gedruckt Neuware - Printed after ordering - 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 reportingKey featuresUnderstand how to use SAS macros for standardizing extract, transform, and load (ETL) protocolsDevelop and use data curation files for effective warehouse managementLearn how to develop and manage ETL, policies, and print and web reports that meet user needsBook 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 learnDevelop efficient ways to manage data input/output (I/O) in SASCreate and manage extract, transform, and load (ETL) code in SASStandardize ETL through macro variables, macros, and arraysIdentify data warehouse users and ensure their needs are metDesign crosswalk and other variables to serve analyst needsMaintain data curation files to improve communication and managementUse the output delivery system (ODS) for print and web reportingConnect other products to SAS to optimize storage and reportingWho this is 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.¿.…
Seller Inventory # 9781789532371
- Title
- Mastering SAS Programming for Data Warehousing : An advanced programming guide to designing and managing Data Warehouses using SAS
- Author
- Monika Wahi
- Publisher
- Packt Publishing
- Publication year
- 2020
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 178953237X
- ISBN 13
- 9781789532371
- Item weight
- 913 grams
- Dimensions
- 235x191x26 mm
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 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
- 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 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.
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
"Synopsis" may belong to another edition of this title.
About the Author
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 the title" may belong to another edition of this title.
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