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Faster Optimization of Join Queries in ORCA
author：Hans Zeller Optimizing joins is the core part of any query optimizer. It consists of picking a good join order, the right join algorithms (hash join, nested loop join, etc.) and various...
Blog: Data Science with Python & JupyterHub on Kubernetes - Part 2
In a previous post, we discussed the advantages of running JupyterHub on Kubernetes. We also showed you how to install a local Kubernetes cluster using kind on your Mac, as well as how to install...
Blog: Data Science with Python & JupyterHub on Kubernetes - Part 1
Provisioning environments for data scientists and analysts to run simulations, test new models, or experiment with new datasets can be time-consuming and error-prone. Python is a popular choice...
Greenplum Summit Week 5: AI, Neural Networks, and the Future of Analytics
Author: Jared Ruckle Every enterprise is refining their AI strategy. So it’s only fitting that the final installment of Greenplum Summit 2020 focused on how artificial intelligence and neural...
How VMware Tanzu Data Services Powers Development Teams Building Modern Applications
Simplify your migration to the cloud with Tanzu Data Services, a portfolio of on-demand caching, messaging, and database software on VMware Tanzu for development teams building modern applications.
Using a Virtualized, Open Source Data Platform on AWS
Co-Authored by Ji Lim and Maurice Martin On April 2nd, 2020 VMware Tanzu Data and Amazon Web Services (AWS) participated in a joint webinar detailing the capabilities and benefits of running...
The CIO's Guide to Artificial Intelligence
A high-level look at how AI works and how it can benefit your business.
Transfer Learning for Deep Neural Networks on VMware Tanzu Greenplum Database
In this post, we show how to implement transfer learning on Greenplum Database using the Keras and TensorFlow libraries, and the Apache MADlib open-source project.
AI for enterprises: Start small and choose projects wisely
Artificial intelligence expert Andrew Ng explains the basics of enterprise AI adoption, from scoping out the most impactful early applications to building out an AI team.
Operationalizing AI at scale using MADlib Flow - Greenplum Summit 2019
Greenplum Summit 2019 Sridhar Paladugu Pivotal ML Engineer MADlib Flow Project Lead
A Modern Interface for Data Science on Postgres/Greenplum - Greenplum Summit 2019
Greenplum Summit 2019 Scott Hajek @jscotthajek
AI on Greenplum Using
Apache MADlib and MADlib Flow - Greenplum Summit 2019
Greenplum Summit 2019 Sridhar Paladugu Frank McQuillan
Don't jump into AI without doing your homework
Artificial intelligence can be difficult to grok. The best place to start is to get up to speed on what AI actually means and doesn’t mean, and what it actually can and cannot do.
Taking Product Development To the Next Level
Why adding in a data science component results in smarter applications and increased business value.
Graph Analytics with Greenplum and Apache MADlib
Pivotal Korea HongDon Lee, Sr. Data Scientist 30 January 2019
Getting started with advanced analytics
A conversation with Ovum’s Tony Baer about the future of data.
14:59Paul Daugherty, Accenture—Human + Machine, SpringOne Platform 2018
Watch Accenture CIO and CTO Paul Daugherty present about Digital Transformation and Artificial Intelligence at SpringOne Platform 2018 in Washington, D.C.
