Vertica Blog

Vertica Blog

python

Exploring VerticaPyLab: A Quick Start to ML, Data Analytics, and Vertica

Authored by Badr Ouali and Umar Farooq Ghumman Welcome to VerticaPyLab, a transformative solution that paves the way for effortless Machine Learning and Data Analytics. If the world of Python's ML libraries has intrigued you but appeared complex to navigate, VerticaPyLab is here to redefine your journey. It is designed to make ML accessible and...

Shorten the Path to Production with In-Database Machine Learning

Moving data, transforming data types, taking small samples so they’ll fit in your sandbox – these are all things every data scientist puts up with as routine. And when you’re finished, a data engineer has to build full production pipelines to reproduce all that work at scale. It can be months or a year or...

VerticaPy reaches a milestone at 100 stars

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...

VerticaPy Unify 2022 Sessions

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...

Vertica Stories from China: Top 3 contest winners showcase innovation

This past December and January, the Vertica team for the Asia-Pacific region conducted a story contest for Chinese-speaking Vertica customers using creative solutions to data analytics requirements. In addition to reaching out and learning more about Vertica customers in the region, we wanted to gather use case details and share them with the worldwide Vertica...
data lakehouse example

Going Beyond a Data Lakehouse

The way things get named in this industry can be pretty odd.  A lot of people have been hearing noise about how cool a “Data Lakehouse” is since it combines the power of a data lake with the power of a data warehouse. When I think of a lakehouse, I think of a great place...

Announcing Vertica Version 11

Vertica Unified Analytics Platform version 11 delivers GA support for Docker containers and Kubernetes, advanced machine learning and time series capabilities, and increased analytical performance.

Vertica and Apache Airflow Integration

Apache Airflow is an open-source workflow management platform that enables you to program, schedule, and manage complex workflows as Directed Acyclic Graphs (DAGs). A DAG is a collection of tasks and also shows the relationship between the different tasks. Airflow provides Python class to create the data pipeline (DAGs). Airflow has a full featured web...

Vertica 11 announced at Unify 2021: Delivering on vision of Unified Analytics

Introduced by Joy King, Vertica’s VP of Product & GTM Strategy, Colin Mahony, SVP and General Manager of Vertica, kicked off today’s Vertica Unify 2021 by explaining Vertica’s founding philosophy and sharing “some of the advancements we’ve made most recently, as well as the direction we’re going in future.” That included the announcement of Vertica...

Constellation Research Names Vertica to ShortList for Hybrid-Cloud and Multi-cloud Analytical Databases

What a week of industry recognition for Vertica. Today, Vertica announced that it was named to the Constellation ShortList™ for Hybrid-Cloud and Multicloud Analytical Relational Database Management Systems in Q1 2021. What is the Constellation ShortList? According to Constellation Research, the ShortList focuses on RDBMSs that can deliver the ultimate in analytical query performance even...
Modern Database Analytics

Vertica named by InfoWorld as one of 8 databases supporting in-database machine learning

A Feb. 17 article in InfoWorld names Vertica as one of eight analytical platforms that offer in-database machine learning “right where your data resides.” Authored by contributing editor and reviewer Martin Heller, the article validates two of Vertica’s long-held principles: flexibility in ML modeling and training, and the ability to analyze data without transmitting it...
Vertica wishes you a Happy Holidays

New VerticaPy Features Added – Just in Time for the Holidays

The team behind VerticaPy wishes you happy holidays and a happy new year from Boston, and from Grenoble in the French Alps! Make 2021 your year to operationalize Machine Learning at Scale with Vertica and Python.    VerticaPy is a Python library that exposes scikit-like functionality for conducting data science projects in your Vertica database....