In this blog, Kevin Petrie (Attunity Senior Director of Marketing) joins me to share thoughts on Hadoop and the Enterprise Data Warehouse.
At Hortonworks and Attunity, we see something else. We see how Hortonworks subscribers use Hortonworks Data Platform (HDP) for EDW optimization. Together, we use Attunity’s Appfluent Visibility software to find just the right mix of ingredients for this Big Data confection.
Like peanut butter and chocolate, Hadoop and the EDW are better in combination.
The simple dollar math of spotting cold EDW data and moving it to Hadoop is easily understood and compelling: if you don’t need to analyze data in the EDW, then storage in Hadoop costs you less.
But enterprises manage their Big Data infrastructures on several dimensions. Let’s walk through a few Hadoop value drivers that recently caught the attention of a joint Hortonworks and Appfluent customer, a global retail giant.
More data, different types of data and data stretching back further in time—all of these factors combine to improve confidence in the results. Better business decisions flow from that confidence.
So as you make new investments in Hadoop, look for ways to optimize your familiar EDW investment. For the analyst or data scientist, these are two great tastes that taste great together.
For more on how this works, read the Hortonworks white paper: Data Architecture Optimization with Hortonworks Data Platform.
Register for the Webinar on Thursday April 23 at 11am Pacific Time: Optimizing the Modern Data Warehouse
Vishal Dhanuka is Managing Director and Head of Customer Innovation & Strategy at Hortonworks. He is responsible for developing Hortonworks’ value based go-to-market strategy across industries.