July 2016
Beginner to intermediate
506 pages
11h 23m
English
Overview
Unlock the potential of big data analytics by mastering R programming with this comprehensive guide. This book takes you step-by-step through real-world scenarios where R's capabilities shine, providing you with practical skills to handle, process, and analyze large and complex datasets effectively.
What this Book will help me do
- Understand the latest big data processing methods and how R can enhance their application.
- Set up and use big data platforms such as Hadoop and Spark in conjunction with R.
- Utilize R for practical big data problems, such as analyzing consumption and behavioral datasets.
- Integrate R with SQL and NoSQL databases to maximize its versatility in data management.
- Discover advanced machine learning implementations using R and Spark MLlib for predictive analytics.
Author(s)
None Walkowiak is an experienced data analyst and R programming expert with a passion for data engineering and machine learning. With a deep knowledge of big data platforms and extensive teaching experience, they bring a clear and approachable writing style to help learners excel.
Who is it for?
Ideal for data analysts, scientists, and engineers with fundamental data analysis knowledge looking to enhance their big data capabilities using R. If you aim to adapt R for large-scale data management and analysis workflows, this book is your ideal companion to bridge the gap.
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