Pitney Bowes Inc., a global technology company that provides innovative products and solutions to power commerce that acquired the mapping company MapInfo some years ago, announced last week that it has entered a partnership with Cloudera to deploy geospatial processing and data quality solutions to end users on top of Cloudera Enterprise. Clients will now have access to powerful location-based technology to enrich their Big Data investments.

Pitney Bowes Network Analytics

According to company materials, Cloudera clients will now have the ability to not only tackle the volume, velocity and variety of big data, but they will also be able to manage the veracity of it. Currently Pitney Bowes is deploying four Cloudera Certified Technology products that will ensure clients are accessing the highest quality location data to make more accurate and successful business decisions, including Pitney Bowes Spectrum Geocoding for Big Data, Spectrum Location Intelligence for Big Data, Spectrum Data Quality for Big Data and the Spectrum Technology Platform.

In a conversation with Joe Francica, Managing Director, Geospatial Industry Solutions at Pitney Bowes Inc., GISCafe Voice asked about the new partnership with Cloudera.

Pitney Bowes Insurance

What precipitated the relationship with Cloudera?

What we’ve been trying to do for at least 12 months is establish Pitney Bowes as a supplier of location intelligence solutions to the user of Big Data. It was client driven in many ways, we had a few clients moving to a Apache Hadoop environment and we found it necessary to have and develop a relationship with some of these organizations that provide and develop integration and deployment services like Cloudera.  But we also have an established relationship with Hortonworks that drives actionable intelligence with Connected Data Platforms that maximize the value of all data—data-in-motion and data-at-rest. The company focuses on the development and support of Apache Hadoop, a framework that allows for the distributed processing of large data sets across clusters of computers.

We now have two relationships with these platform service providers and have certified on their Apache Hadoop frameworks. Hadoop is an Open Source technology being looked at by many organizations because of their ability to process very large data streams or very large data repositories. What these organizations are trying to do in a distributed processing environment is implement Hadoop or whatever the latest flavor is; Sparc, etc.

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