Vertica Blog

Vertica Blog

machine learning

OpenText Welcomes Micro Focus Customers, Partners, and Employees

Jeff Healey, Vice President of Marketing, Vertica Product Group in Micro Focus
January 31, 2023

OpenText CEO and CTO Mark Barrenechea blogs on how the Micro Focus acquisition expands OpenText's mission to help enterprise professionals secure their operations, gain more insight into their information, and better manage an increasingly hybrid and complex digital fabric. Read his article here.

GigaOm Radar for Data Warehouses Recognizes Vertica as Leader

Jeff Healey, Vice President of Marketing, Vertica Product Group in Micro Focus
January 17, 2023

With the excitement in our industry regarding the emergence of data lakehouses, there’s a good chance that you are planning to modernize or even “replatform” your incumbent data warehouse to meet an ever-evolving variety of analytical use cases. Many vendors, like Vertica, have transformed the original concept of data warehouses with groundbreaking innovations like massively...

VerticaPy reaches a milestone at 100 stars

Mike Perrow, Senior Product Marketing Writer/Editor
December 14, 2022

The Vertica team is happy to share a milestone in our “VerticaPy journey”: We just reached 100 stars in our GitHub repo, and it’s growing every day. (Repo: That’s “repository” for those of you unfamiliar with GitHub.) Repos accumulate stars as an indication of user interest – think of them as bookmarks in a user’s...
Vertica plus Domino Data Lab logos

Unleash the Power of Data Science with Vertica and Domino Data Lab

Amrita Akshay, Information Developer
November 30, 2022

Introducing an end-to-end machine learning solution with Vertica and Domino Data Lab that enables you to explore, analyze, and model your data in Vertica using VerticaPy. Domino Data Lab is a data science platform to build and deploy machine learning models, monitor performance, and collaborate with one another. VerticaPy is a Python library to perform...
SQL Query Optimization

Improving COUNT DISTINCT Performance with Approximate Functions

Bryan Herger, Vertica Big Data Solution Architect at Micro Focus
November 16, 2022

A common analytic use case is to find the number of distinct items in a data set. Vertica performs well at solving COUNT DISTINCT in a few ways. Since Vertica stores all data in columns, it is possible to optimize for COUNT DISTINCT by building a projection that is tuned for this use case. Vertica...

Break the bias – and predict brake bias

Mark Whalley, Manager, Vertica Education
September 20, 2022

The theme for this year’s International Women’s Day (IWD) was given the name #BreakTheBias to get us to imagine a gender equal world. A world free of bias, stereotypes, and discrimination, a world that is diverse, equitable, and inclusive, where difference is valued and celebrated. Together, we can protect women’s equality. At Micro Focus, as...
spark plus vertica hands touching

Unleash the Power of Vertica and Apache Spark Using the Upgraded Spark Connector

Arash Fard, Senior Software Engineer at Vertica
September 16, 2022

This post is authored by Alex Le What is Apache Spark? Apache Spark is a distributed compute engine that provides a robust API for data science, machine learning, or to work with big data. It is fast, scalable, simple, and supports multiple languages, including Python, SQL, Scala, Java, and R. Backed by the Apache 2.0...

What’s needed for a happy software dev team in data analytics?

Mike Perrow, Senior Product Marketing Writer/Editor
July 6, 2022

For an organization to excel at data analytics, the IT team needs to coordinate a number of different disciplines and personnel with experience in those disciplines. This usually includes data analysts, data engineers, and, increasingly, data scientists. The data engineering discipline is sometimes thought of as the plumbing that, like pipes in a house, delivers...

VerticaPy Unify 2022 Sessions

Badr Ouali, Head of Data Science
June 21, 2022

Vertica Unify 2022 is a great time to learn about Vertica, its new features, and best practices. To complement the many great presentations at Vertica Unify 2022 both in Boston and Paris, I’m very excited to present two sessions: one on VerticaPy best practices, and another general session on VerticaPy and its features. VerticaPy is...

No need to extract data from your database to do your analytics!

Mark Whalley, Manager, Vertica Education
June 16, 2022

While taking a long-awaited, and, IMHO some well-deserved R&R in the sun, I heard that ping notification coming from my backpack, and not being one who can ignore such things, reached for my iPad. With my OOTO email response already set, I should be able to ignore most incoming messages, texts and otherwise, safe in...
Vertica Version 12

Announcing Vertica Version 12

Steven Sarsfield, Vertica Senior Product Marketing Manager – Partner Ecosystem
June 6, 2022

Vertica is pleased to announce version 12 of our unified analytics platform. Since the introduction of Vertica version 11 around June last year, several releases have gone out. Our release cycle has become more continuous, and the Vertica engineering team packs a lot of capabilities into every release. What this means is that a LOT...

Customers in the Spotlight at Vertica Unify ’22

Jeff Healey, Vice President of Marketing, Vertica Product Group in Micro Focus
May 31, 2022

It’s hard to believe that it has been almost a decade since we held our inaugural Vertica Big Data Conference, back in 2013. At that time, our goal was to hold an annual user conference with a few simple yet guiding principles – no sales or marketing pitches, hold the event in Boston, and line...