With Vertica’s latest release (Vertica 7 Crane”), we introduced Vertica Flex Zone, based on the patent-pending flex tables technology, which dynamically adapt to whatever schema is present in the data. Flex tables offer dramatic usability improvements over regular tables. In this post, we take a look under the hood and show how flex tables are similar to regular Vertica tables, with a little pinch of magic thrown in.
In December, HP released version 7 of the Vertica analytics platform which includes, among others, a great new feature called Vertica Flex Zone (Flex Zone). Flex Zone enables you to quickly and easily load, explore and analyze some forms of semi-structured data. It eliminates the need for coding-intensive schemas to be defined or applied before the data is loaded for exploration.
Here at Vertica, we had to solve a technical challenge that many of you might be facing: data analysis from legacy products.
Much of the data analytics we perform occurs with data whose schema changes over time. Many organizations have developers who define the record types that are collected and analysts who comb through these records looking for important patterns. In today’s fast-changing business landscape, agility is the key to success: developers need to continually define new metrics for their analyst’s consumption.
With our Vertica 7 release, we announced Vertica Flex Zone, a new product offering that simplifies the way that you consume and then explore semi-structured data, such as Web logs, sensor data, and other emerging data types. In this blog post, our first ?Flex Zone Friday? post, let’s look at how you can use Vertica Flex Zone to get a leg up on your latest data analysis problem, using Twitter data as the sample data type.