AWS re:Invent 2015 | (BDT210) Building Scalable Big Data Solutions: Intel & AOL

Опубликовано 12 октября 2015, 17:34

Growing data is a massive computational challenge across the enterprise. The opportunity to draw insights from huge data sets is wide open, but traditional computing environments often can’t scale to those volumes. In this session, Intel Chief Data Scientist Bob Rogers PhD explains how developers can take advantage of technologies from Intel with the AWS platform.

Also in this session, AOL Systems Architect Durga Nemani provides insights into how AOL was able to reduce the time and cost to process massive amounts of clickstream data by leveraging big data technologies in AWS. AOL can process data as fast as possible or as cheaply as possible, depending on the SLA, by choosing the number and types of instances without any changes to the code. Session sponsored by Intel.