Vertica Blog

Vertica Blog

complex data types

spark plus vertica hands touching

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

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...
SQL

Quick Tip: WITH Clause Recursion

Starting with version 10.1.x, Vertica supports recursive queries. These are incredibly useful in modeling and working with self-referential hierarchical data. Let's take a look at a natural instance of this form of data: the manager-subordinate relationship. The following table contains employees (EMP_NAME), their IDs (EMP_ID), and the IDs of their managers (EMP_MGR_ID). For example, the...
Rocket to Moon with Vertica version 10.1

Vertica 10.1 Rockets Data Analytics to the Next Level

As of February 1, 2021, the new version of Vertica rockets analytical database technology to the next level. Vertica 10.1 continues to show our commitment to broad, powerful in-database machine learning by including our most requested algorithm – XGBoost. Management Console makes administering Vertica in the cloud even easier. Support for complex data types in...
Taking data analytics to the next level

Vertica 10 SP1 Takes Data Analytics to the Next Level

The first service pack for Vertica 10 brings even more incredible new features to the most flexible and scalable data analytics warehouse on the market.
A man and woman looking under the hood

Tune in for Monthly Vertica Tune-Ups

Our Under the Hood Webcast series builds on the engineering-led sessions that our product and R&D teams deliver at our annual Vertica Big Data Conference. You can tune in nearly every month and get a deep dive of Vertica features and releases through this popular series. Last month, Vertica R&D covered one of our most...