November 2017
Beginner to intermediate
266 pages
5h 24m
English
Overview
Discover how to leverage the power of SAS for big data analytics in 'Big Data Analytics with SAS.' This book helps you unlock key techniques for preparing, analyzing, and reporting on big data effectively using SAS. Whether you're exploring integration with Hadoop and Python or mastering SAS Studio, you'll advance your analytics capabilities.
What this Book will help me do
- Set up a SAS environment for performing hands-on data analytics tasks efficiently.
- Master the fundamentals of SAS programming for data manipulation and analysis.
- Use SAS Studio and Jupyter Notebook to interface with SAS efficiently and effectively.
- Perform preparatory data workflows and advanced analytics, including predictive modeling and reporting.
- Integrate SAS with platforms like Hadoop, SAP HANA, and Cloud Foundry for scaling analytics processes.
Author(s)
None Pope is a seasoned data analytics expert with extensive experience in SAS and big data platforms. With a passion for demystifying complex data workflows, None teaches SAS techniques in an approachable way. Their expert insights and practical examples empower readers to confidently analyze and report on data.
Who is it for?
If you're a SAS professional or a data analyst looking to expand your skills in big data analysis, this book is for you. It suits readers aiming to integrate SAS into diverse tech ecosystems or seeking to learn predictive modeling and reporting with SAS. Both beginners and those familiar with SAS can benefit.
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