Unlocking Value in Device Data Using Spark - Databricks

Unlocking Value in Device Data Using Spark

Download Slides

HP ships millions of PCs, Printers, and other devices every year to customers in all market segments. More customers are seeking services provided with our products enabling new opportunities for HP to create services from the data we can collect from our devices. Every device we ship is an IoT endpoint with powerful CPU to capture rich data. Insights from this data are used internally to improve our products and focus on customer needs.
In this presentation, John will focus on HP’s journey to enabling Big Data analytics from within a large enterprise environment. He will review the challenges and how HP decided on AWS, Apache Spark and Databricks as the foundation for their entry into Big Data Analytics. John will also review how HP uses Spark to build analytic services from the data they generate from their devices.

About John Landry

John Landry is a Distinguished Technologist in the HP Personal Systems Software Group. He is based in Houston, Texas and leads a Data Science group focused on creating a Big Data cloud platform hosted in Amazon to collect and analyze data from HP products and services to provide insights to engineering and marketing teams in addition to enabling new analytics services offered with HP products. The HP Big Data platform is based on AWS services such as Kinesis and S3 using Spark managed by Databricks as the analytics compute engine. He is also evangelizing the investment into Big Data analytics across HP. John’s background is in PC Architecture graduating with a BSEE degree from the University of Florida where he also lettered in Football. He started his Career at IBM and Compaq Computer first designing ASICs, systems, and software. His passion for data led him to Big Data analytics with a focus on device telemetry data.