Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY

Big data, location analytics, and geoenrichment to drive better business outcomes (sponsored by Pitney Bowes)

Tim McKenzie (Pitney Bowes)
5:25pm6:05pm Wednesday, September 27, 2017
Location: 1A 03

What you'll learn

  • Explore new data quality and location intelligence approaches that operate natively within Hadoop and Spark environments


Data volumes continue to increase at an exponential rate, and with 8.4 billion “things” projected to be connected by the end of 2017, the speed of growth shows no signs of letting up.

Personal data, transaction histories, and sensor data from mobile devices typically contain a location that requires geospatial processing to extract value. After all, everything happens somewhere. To meet these needs, a data quality and location technology that operates natively within Hadoop and Spark environments is critical to delivering the ability to cleanse data and validate address and location-based information on large volumes of records before applying market-leading location analytics.

Tim McKenzie explains how geoenrichment is changing the way businesses develop value from their big data investments.

This session is sponsored by Pitney Bowes.

Photo of Tim McKenzie

Tim McKenzie

Pitney Bowes

Tim McKenzie is general manager of big data solutions at Pitney Bowes, where he leads a global team dedicated to helping clients unlock the value hidden in the massive amounts of data collected about customers, infrastructure, and products. With over 17 years of experience engaging with customers about technology, Tim has a proven track record of delivering value in every engagement.