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7 Critical Capabilities for Embedded Analytics

Software and technology vendors serving a range of industries – from security to healthcare – are increasingly turning to embedded data analytics as a way to deliver value-added services and applications to their customers…


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2 – How to Calculate a Correlation Matrix – Data Exploration for Machine Learning

In the first machine learning in a database post, we discussed some of the reasons why it makes sense to do your machine learning data analytics inside the database. This will be the first post where we discuss some of the steps involved in the in-database machine learning workflow. Generally, the first thing you need to do is explore your data. This can involve many things, but discovering which features correlate with each other is one key aspect…






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Open Source Software is Free, Like a Puppy

Open source software has a long and inspiring history. In the very early days of software itself, academic collaboration was the norm. But in the late 70’s and early 80’s, […]


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View Vertica Features Recently Used: Quick Tip

Curious if Vertica features are being used in your database? If so, the data collector table DC_FEATURES_USED stores recently used Vertica features (i.e. commands, meta-functions and UDXs). Example: dbadmin=> SELECT […]




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Pure Vertica SQL Graph Flavors

The art and science of the best sales conversation is “Visual story telling”. This document shows how Vertica VSQL alone can visualize query results in color and graphics. The idea […]