Vertica Blog

Vertica Blog

machine learning

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Finding the “K” in K-means Clustering With a UDx

You can apply k-means clustering to partition data points into k different groups. Along with the data, the number of clusters "k" is an input to the algorithm. Common examples like the Iris data set tell you upfront how many different groups exist, so you set k=3. What if you don't know how many clusters...

Vertica Big Data Conference Registration is Open!

We’re excited to announce that registration is live for the next Vertica Big Data Conference (BDC), held March 30 – April 2, 2020, at the Encore Boston Harbor Hotel. Don’t miss out on the early bird pricing rate of $695 (a $300 savings), along with buy 3 get 1 free group discounts!   What is...

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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The Vertica Academy Is Open for Learning

One of the greatest impacts from digital transformation, both from a personal and professional point of view, is not just the democratization of data - a very popular topic here at Vertica! - but the democratization of knowledge. Today, we are excited to announce the new Vertica Academy, a platform that offers self-paced, technical training...
Machine learning robot studying equations and graphs

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...
Woman holding onto seat as high wind blows her hair and lots of data points past

Strong Winds of Change at Chief Data & Analytics Officers Event

Last week, Vertica sponsored the Chief Data & Analytics Officer event in Chicago. As a first-time sponsor, we were cautiously optimistic that we could meet with data and analytics leaders that were, according to event organizer IQPC, “…on the forefront of capitalizing on data and analytics in the enterprise as the volume, availability, and complexity...
Analyze, Design, Develop, Implement, Evaluate cycle illustration

Evaluating Classifier Models in Vertica

Co-authored by Elizabeth Michaud Vertica provides an out-of-the box machine learning toolset that covers a complete data science workflow. The toolset includes several distributed functions for evaluating both classifier and regressor machine learning models. The goal of this blog post is to demonstrate how you can use the built-in functions for evaluating the prediction performance...
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Vertica Ranked #1 Cloud Data Warehouse

July has been quite an exciting month for Vertica. Our three keynote presenters are now confirmed for the Vertica Big Data Conference 2020 – Vertica founder and Turing Award winner Dr. Michael Stonebraker, kingpin of the famous MIT blackjack team Jeffrey Ma, and renowned analyst Ray Wang of Constellation Research. And, in addition to receiving...
young girl choosing recommended video playback button.

Content Analytics and Video Recommendation Systems with Vertica

Analyzing digital content and the behavior of viewing customers in real-time is essential to a lot of companies. Communication operators and content providers are offering many services that enable customers to consume video content using different fixed and mobile technologies through different devices, either in their homes or mobile. For these operators and providers, it...
Paige Roberts presenting to a full room with a Zynga case study slide showing

DBTA Data Summit – The Rise of DataOps

The recent DBTA Data Summit provided a lot to think about. I did a short talk in the “Analytics in Action” track about how data analysts, architects and engineers can turn the endless waves of disruption we keep getting hit with into opportunities to boost bottom line. There were some very cool talks by other...
Woman asks questions of panel at IOT world with audience

IOT World 2019 – Backing Up the Buzz

Connected and autonomous vehicles. Smart Cities. Smart Buildings. Predictive maintenance. Lots of robots. This must be IOT World 2019, where more than 12,000 IOT enthusiasts joined at the Santa Clara Convention Center to learn if IOT had “jumped the shark” or if we are just now learning how businesses can ultimately gain advantage from trillions...
Take Flight at JM Wine Cellars, may 30th, 4 - 6 PM, JM Cellars, Woodinville, with RSVP button

Is this Wine Good? Wine Quality with Machine Learning

How can you really tell if a wine is good? It’s a commonly known fact that the price of wine does not have a direct correlation to the quality or taste. What if we use some analytics to help make a clear determination if a wine is “good?” My friend and Data Scientist, Badr Ouali,...