AWS Big Data Analytics Sessions at re:Invent 2015

Roy Ben-Alta is a Business Development Manager – Big Data & Analytics

If you will be attending re:Invent 2015 in Las Vegas next week, you know that you’ll have many opportunities to learn more about Big Data & Analytics on AWS at the conference–and this year we have over 20 sessions! The following breakout sessions compose this year’s Big Data & Analytics track.

Didn’t register before the conference sold out? All sessions will be recorded and made available on YouTube after the conference. Also, all slide decks from the sessions will be made available on SlideShare.net after the conference.

Click any of the following links to learn more about a breakout session.

Deep Dive Customers Use cases

BDT303 – Running Spark and Presto on the Netflix Big Data Platform
BDT306 – The Life of a Click: How Hearst Publishing Manages Clickstream Analytics with AWS
BDT307 – Zero Infrastructure, RealTime Data Collection, and Analytics
BDT312 – Application Monitoring in a Post-Server World: Why Data Context Is Critical
BDT314 – Running a Big Data and Analytics Application on Amazon EMR and Amazon Redshift with a Focus on Security
BDT318 – Netflix Keystone: How Netflix Handles Data Streams Up to 8 Million Events Per Second
BDT404 – Building and Managing LargeScale ETL Data Flows with AWS Data Pipeline and Dataduct
DAT308 – How Yahoo! Analyzes Billions of Events a Day on Amazon Redshift
DAT311 – Large-Scale Genomic Analysis with Amazon Redshift
BDT323 – Amazon EBS and Cassandra: 1 Million Writes Per Second on 60 Nodes
BDT322 – How Redfin and Twitter Leverage Amazon S3 to Build Their Big Data Platforms
MBL314 – Building World-Class, Cloud-Connected Products: How Sonos Leverages Amazon Kinesis