October 2013
Intermediate to advanced
172 pages
3h 51m
English
Overview
This book serves as a thorough introduction to using the Greenplum platform for big data analytics. It explores key concepts for processing, analyzing, and deriving insights from big data using Greenplum, covering aspects from data integration to advanced analytics techniques like programming with R and MADlib.
What this Book will help me do
- Understand the architecture and core components of the Greenplum platform.
- Learn how to design and execute data science projects using Greenplum.
- Master loading, processing, and querying big data in Greenplum efficiently.
- Explore programming with R and integrating it with Greenplum for analytics.
- Gain skills in high-availability configurations, backups, and recovery within Greenplum.
Author(s)
Sunila Gollapudi is a seasoned expert in the field of big data analytics and has multiple years of experience working with platforms like Greenplum. Her real-world problem-solving expertise shapes her practical and approachable writing style, making this book not only educational but enjoyable to read.
Who is it for?
This book is ideal for data scientists or analysts aiming to explore the capabilities of big data platforms like Greenplum. It suits readers with basic knowledge of data warehousing, programming, and analytics tools who want to deepen their expertise and effectively harness Greenplum for analytics.
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