Greenplum for Data Science

Data Science plays a crucial role in digital transformation, as it provides businesses with the ability to extract insights and knowledge from the massive amounts of data generated by digital technologies. By leveraging Data Science, businesses can optimize their operations, improve customer experience, and gain a competitive advantage in the digital marketplace. As such, Data Science is an essential component of the digital transformation journey, enabling businesses to fully harness the power of digital technologies and drive growth and innovation.

This multi-part blog series will focus on how to use VMware Greenplum’s integrated analytics functions to tackle data science projects from experimentation to massive deployment. This page will be updated as new content is created and published.

Part 1

• Big Data Analysis with SQL and Python

Part 2

• Advanced Text Analytics & Text Search on Greenplum with GPText

Part 3

• Scalable in-database Machine Learning & NLP with PL/Python

Part 4

• Model deployment on Greenplum using Python with GreenplumPython

Greenplum is an excellent choice for Data Science applications that require advanced analytics capabilities and the ability to handle large and complex datasets. The massively parallel processing architecture, integration with popular Data Science tools, and built-in analytics functions make Greenplum a powerful platform for Data Scientists to perform advanced analytics and machine learning tasks. Check out the product documentation to learn more.