myVertica  

Vertica Blog

VSQL on Hadoop

What’s New in Vertica 8.1.1: Introducing Export to Parquet Format

This blog post was authored by Deepak Majeti. Vertica customers often ask the following questions: 1. “We want to keep hot/warm data in Vertica and move warm/cold data to an open file format on cheap external storage. How do we do this? “ 2.”How can we store the results from Vertica in an open file […]

Using Hadoop Rack Locality to Boost Vertica Performance

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 8.0.1: Hadoop Enhancements

In Vertica 8.0.1, we have added new enhancements for Hadoop. They are as follows: • Direct Access to hdfs without webhdfs • Support for Partition Columns • Read from Multiple HDFS Clusters • Vioperf Support for HDFS Direct Access to hdfs Without webhdfs With Vertica 8.0.1, now you can use the hdfs URL scheme to […]

The Right Tool for the Job: Using Apache Hadoop with Vertica for Big Data Analytics

I have an entrepreneur friend who used to carry a butter knife around.  He claimed this “almighty” tool was the only one he ever needed!  While the butter knife does serve a wide range of purposes (especially with a stretch of the imagination), in practice it doesn’t always yield optimal results.  For example, as a screwdriver, it may work for common screws, but certainly not a Phillips (unless you push down very hard and hope not to strip the screw).  As a hammer, you may be able to drive finishing nails, but your success and mileage may vary.  As a pry bar, well, I think you get my point!  Clearly one tool isn’t sufficient for all purposes – a good toolbox includes various tools each fulfilling a specific purpose.

What’s New in 7.2.3: New Apache Hadoop Integration Features

Vertica 7.2.3 adds new features to better integrate Vertica and Apache Hadoop. Learn about direct HDFS access and HCatalog partition pruning here!

Unlimited Access to Vertica for SQL on Hadoop for Free!

Join the Early Adopter Program for Vertica for SQL on Hadoop to experience the full power of Vertica for SQL on Hadoop without any commitments.

Installing Vertica SQL on Hadoop

Interested in adding Vertica’s analytic capabilities to your Hadoop cluster? Watch this tutorial video to learn how you can install Vertica on Hadoop, giving it faster access to your data!

Kerberos Authentication for Hadoop Integration: Keeping your data safe

Like all HP Vertica releases, 7.1.2 includes a bunch of new features. One specific feature can help make your HDFS data safer: Kerberos integration for Hadoop. This blog will give you an overview of using Kerberos authentication with HP Vertica for SQL on Hadoop.

The Benefits of Vertica for SQL on Hadoop

If you store large data sets in Hadoop, you undoubtedly face many challenges in managing and analyzing that data. Did you know that HP Vertica for SQL on Hadoop can help ? Check out the scenario that follows to learn how.

New Vertica for SQL on Hadoop Features

HP Vertica is excited to announce new features for HP Vertica for SQL on Hadoop in HP Vertica version 7.1.2. Most notably, we’ve added Kerberos integration for Hadoop, and the ability to directly read ORC files.