Book Image

Getting Started with Greenplum for Big Data Analytics

By : Sunila Gollapudi
Book Image

Getting Started with Greenplum for Big Data Analytics

By: Sunila Gollapudi

Overview of this book

Organizations are leveraging the use of data and analytics to gain a competitive advantage over their opposition. Therefore, organizations are quickly becoming more and more data driven. With the advent of Big Data, existing Data Warehousing and Business Intelligence solutions are becoming obsolete, and a requisite for new agile platforms consisting of all the aspects of Big Data has become inevitable. From loading/integrating data to presenting analytical visualizations and reports, the new Big Data platforms like Greenplum do it all. It is now the mindset of the user that requires a tuning to put the solutions to work. "Getting Started with Greenplum for Big Data Analytics" is a practical, hands-on guide to learning and implementing Big Data Analytics using the Greenplum Integrated Analytics Platform. From processing structured and unstructured data to presenting the results/insights to key business stakeholders, this book explains it all. "Getting Started with Greenplum for Big Data Analytics" discusses the key characteristics of Big Data and its impact on current Data Warehousing platforms. It will take you through the standard Data Science project lifecycle and will lay down the key requirements for an integrated analytics platform. It then explores the various software and appliance components of Greenplum and discusses the relevance of each component at every level in the Data Science lifecycle. You will also learn Big Data architectural patterns and recap some key advanced analytics techniques in detail. The book will also take a look at programming with R and integration with Greenplum for implementing analytics. Additionally, you will explore MADlib and advanced SQL techniques in Greenplum for analytics. This book also elaborates on the physical architecture aspects of Greenplum with guidance on handling high-availability, back-up, and recovery.
Table of Contents (13 chapters)
Getting Started with Greenplum for Big Data Analytics
About the Author
About the Reviewers


As mentioned in Chapter 2, Greenplum Unified Analytics Platform (UAP), since April 2013, with the formation of Pivotal in collaboration with EMC and VMware, Greenplum UAP and data science product suite is being integrated with VMware's Spring Source products like Gemfire, and the products are being repositioned under the name of Pivotal. However, the current functions of the product will continue to exist. The following table shows the corresponding product names in Pivotal. Pivotal One product suite would now integrate.

Greenplum product names

Pivotal product names

Greenplum Database

Pivotal Greenplum Database

Greenplum DCA

Pivotal DCA

Greenplum UAP

Pivotal UAP

Greenplum HD

Pivotal HD

Greenplum Chorus

Pivotal Chorus


Additionally, HAWQ framework for an integrated SQL-based querying between HD and GP DB. Also, In Memory Data Grid, Gemfire and SQLFire from the VMware suite are being integrated into Pivotal One solution.