Vertica Blog

Vertica Blog

Analytics

Investigating Public Data: Road Safety in the U.K.

When learning new database applications, a good place to start is with some compelling, real-world data. It's not necessarily so easy to find.

Analyze Mismatched Series with Event Series Joins

Event series occur in tables with a time column, most typically a TIMESTAMP data type. In Vertica, you perform an event series join to analyze two series in different tables when their measurement intervals don't align, such as with mismatched timestamps.

Watch Machine Learning for Predictive Analytics in Action

Watch this video to learn more about the Vertica Machine Learning for Predictive Analytics features new in 7.2

Identifying Patterns in Your Data with Event Series Pattern Matching – Part 1

Vertica's event series pattern matching functionally lets you identify events that occur is specific patterns. In this blog, we'll introduce you to the pattern matching key features.

Learn More From Your Data with Machine Learning Algorithms

NOTE: This article refers to Vertica 7.x and is considered outdated.  This article is more relevant to later Vertica versions. New in Vertica 7.2.2 is the Machine Learning for Predictive Analytics package. This analytics package allows you to use built-in machine learning algorithms on data in your Vertica database. Machine learning algorithms are extremely valuable in...

It’s All About Timing

Every so often we hear about the seemingly confusing nature of SQL functions that return the “current” time. But what is “current”? Is it the start time of a transaction or statement? Is it the time returned by the system clock? The answer is: all of these, depending on which function you call.
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Looking Under the Hood at Vertica Queries

When you submit a query to Vertica, you want it to execute as quickly and efficiently as possible. The query optimizer creates a plan that is designed to do just that. The directives in the query plan determine your query's run-time performance and resource consumption, but the properties of your projections and the system parameters also impact...

On the Trail of a Red-Tailed Hawk!

Read how we used User-Defined-Loads to track the habits of the red-tailed hawk!

Vertica Joins: A Refresher

As a Vertica user, you know that using joins can improve query performance by combining records from one or more tables. But sometimes, you need to develop complex joins. Vertica supports many different kinds of joins that perform different functions based on your needs.
Programmer

Improving COUNT DISTINCT Performance with Live Aggregate Projections

Today?s organizations need to be able to measure the effectiveness of online ads and marketing campaigns. In your particular organization, you may want to measure how effectively your ads drive unique visitors to your website. Or you may want to see if your ads drive repeat visits from the same user over a specific period...

Using Big Data Analytical Tools for Predicting Potential Global Distribution of an Amphibian Pathogen

During the summer of 2015, I participated in an internship program with Vertica. Most interns assisted in software development, but my primary goal was to use Vertica, Vertica Place, and HP Distributed R to address an ecological problem

The Benefits of Single Node Queries

If your organization deals with low latency, high concurrency applications and queries, you can benefit from having as few nodes as possible involved in each query.