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Big Data Tech 2016 has ended
Sessions are categorized to help you find the technical level you are looking for. Mild sessions are less technical, while spicy sessions are very technical. 
VJ

Vamshi Jonnalagadda

IT Frontiers
Architect
WebsiteItfrontiers.com/
Tuesday, June 7
 

10:45am CDT

Function Over Framework: Mapreduce, Tez and Spark - How to Select What Jobs to Run Where P0808 (1st floor)Adam Gugliciello Spark Training Lab (2nd floor)Brock Noland

11:45am CDT

Taming the Elephant: A General Mills Tale P0808 (1st floor)Liz Carroll-Anderson

12:30pm CDT

Analytics for Impatient People P0806 (1st floor)Ryan Hedlund • Joe Kelleher

1:15pm CDT

Data Wrangling on Hadoop – Overcoming Enterprise Challenges P0838 (1st floor)Sean Kandel Data Analysis Using Spark and Cloudera Impala Garden Room (1st floor)Kasaba Bharathi

2:00pm CDT

Developing Fast and Scalable Customer Intelligence Solutions on AWS Redshift P0838 (1st floor)Jakub Jez

3:45pm CDT

Counting People With a Camera and Computer Number Tables: A Talk Using Only the 1000 Most Simple Words In Our Language P0806 (1st floor)Pat Delaney