Vertica Blog

OpenText Vertica 23.3 – the Smarter Data Lakehouse

Posted July 31, 2023 by Paige Roberts, Vertica Open Source Relations Manager

Read More

Unveiling the Most Recent Version of the Vertica Grafana Data Source Plugin

Amrita Akshay, Information Developer
October 12, 2023

With over 380K downloads, the Vertica Grafana Data Source plugin just got an upgrade! The plugin was migrated from the deprecated older Grafana toolkit to align with Grafana's new Create-Plugin tool. This accelerates the plugin development with their modern build set up that requires no additional configuration. Additionally, the Vertica SQL Go driver received an...
Quick Tip on a blue enter key on a keyboard

Setting Session Authorization to Troubleshoot

Sruthi Anumula, Senior Database Support Engineer
September 29, 2023

There are possible scenarios in which a dbadmin would want to run queries as another user to troubleshoot or test. You can use SET SESSION AUTHORIZATION to impersonate another user and run queries. Let's understand this with an example. Here we create a user named test, resource pool named userpool, and make this a default...

New Uses for Directed Queries

Soniya Shah, Information Developer
May 30, 2017

Directed queries were introduced in Vertica 7.2. Directed queries were originally designed to achieve two goals: • Preserve current query plans before a scheduled upgrade. • Enable you to create query plans that improve optimizer performance. Since their introduction, users have found new and compelling ways to use directed queries—notably, using them to substitute one...

What’s New in Vertica 8.1: Flex Tables Enhancements

Soniya Shah, Information Developer
May 25, 2017

This blog post was authored by Soniya Shah. As of Vertica 8.1, you can execute CTAS statements to create flex tables. CREATE TABLE AS (CTAS) statement Previously, Vertica supported creating tables using the AS SELECT clause. Frequently called CTAS, this SQL statement lets you create a new table that contains the results from querying another...

Use MERGE to Update 1 Million Rows in 2 Seconds

Moshe Goldberg, Vertica System Engineer
May 22, 2017

This blog post was co-authored by Yassine Faihe, Michael Flower, and Moshe Goldberg. Updating One Million Records in Two Seconds To illustrate the true power of MERGE, this article describes how we used MERGE to demonstrate Vertica's performance at scale. SQL MERGE statements combine INSERT and UPDATE operations. They are a great way to update...

Subscribe For Email Updates

Sign-up and select Vertica in your preferences to receive our monthly Vertica newsletter.

Sign-up

Three 3D arrows, different colors pointing in different directions

Query Optimization Using Projections

Sarah Lemaire, Manager, Vertica Documentation
May 18, 2017

In Vertica, tables are logical representations of the data. Vertica stores the actual data in projections. When data is loaded into a Vertica table, Vertica creates or updates a column-store projection. Vertica also compresses and/or encodes projection data, optimizing data access and storage. If you experience performance issues, your best first step is to run...

Machine Learning Mondays: How Vertica Implements Efficient and Scalable Machine Learning

Soniya Shah, Information Developer
May 15, 2017

This blog post was authored by Vincent Xu. As of Vertica 8.1, Vertica has introduced a set of popular machine learning algorithms, including Linear Regression, Logistic Regression, Kmeans, Naïve Bayes, and SVM. Based on our recent benchmarks, they run faster than MLlib on Apache Spark. The following chart shows the performance difference between Vertica 8.1.0...
Modern Database Analytics

Big Flat Fact Tables

Soniya Shah, Information Developer
May 11, 2017

This blog post was authored by Steve Sarsfield. For decades, it's been widely accepted that snowflake and star schemas facilitate getting optimal performance from your data warehouse. You normalize data by identifying the rows of data that you typically ingest, and creating a schema that is optimized for the types of queries you want to...

Explore Popular Topics

SQL
DBadmin
Advanced Analytics
machine learning
Best Practices
Cloud
VSQL
Eon Mode
Analytics
Partner Integrations
Vertica
Open Source
AWS
IoT
Time series
Programmer

Using Vertica and HyperLogLog

Soniya Shah, Information Developer
May 9, 2017

This is a guest blog post co-authored by Francois Jehl and Pawel Szostek. Francois is the lead of the Analytics Data Storage team at Criteo; Pawel is a software engineer in the Analytics Data Storage team at Criteo. Criteo is the global leader in digital performance advertising with 900B ads served in 2016. The R&D...

Machine Learning Mondays: Data Preparation for Machine Learning in Vertica

Soniya Shah, Information Developer
May 8, 2017

This blog post was authored by Vincent Xu. This post is part of our Machine Learning Mondays series. Stay tuned for more! Introduction Machine learning (ML) is an iterative process. From understanding data, preparing data, building models, testing models to deploying models, every step of the way requires careful examination and manipulation of the data....

Using Hadoop Rack Locality to Boost Vertica Performance

Soniya Shah, Information Developer
May 4, 2017

This blog post was authored by Monica Cellio. When database nodes are co-located on Hadoop data nodes, Vertica can take advantage of the Hadoop rack configuration to execute queries against ORC and Parquet data. Moving query execution closer to the data reduces network latency and can improve performance. Vertica automatically uses database nodes that are...

What’s New in Vertica 8.1: Connecting to Vertica Updates

Phil Molea, Sr. Information Developer, Vertica
May 1, 2017

Vertica 8.1 includes the following product enhancements to Connecting to Vertica. Functional Updates to \timing The \timing metafunction has been enhanced so you can use the following commands to toggle \timing on or off based on its current setting: •\timing – turns timing on or off depending on its current state. For example if timing...