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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. 
avatar for Katy Campbell

Katy Campbell

Sleep Number
Sr. Mgr Consumer Insights
Greater Minneapolis-St. Paul Area
Websitehttps://linkedin.com/in/katy-campbell-2336884/
Data scientist with a background in marketing analytics, consumer insights, forecasting, CPG, retail, and durables. Talk to me about ways to drive action from IoT and big data, consumer demographics and customer behavior/voice.
Tuesday, June 7
 

9:00am CDT

Free your Data (and your Analysts): The Keys to Becoming an Analytics-Driven Organization Garden Room (1st floor)Dirk DeRoos

10:00am CDT

Driving Data Initiatives (Even when you're not in charge) P1808 (2nd floor)Ryan Sougstad

10:45am CDT

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

11:45am CDT

Turning more than 80 Million Rows of Data Into Easy-to-use Insights with Spotfire, Python & SQL Server P1808 (2nd floor)Shihe Ma, MS, MBA

12:30pm CDT

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

1:15pm CDT

Master Data - The Foundation to Big Data P0808 (1st floor)Kristine Rennaker

2:00pm CDT

Using Streaming Technology to Enable Real-time Applications P0808 (1st floor)Marc Fabbo

3:00pm CDT

Neural Networks for Newbies P0808 (1st floor)Theo Kanning

3:45pm CDT

Using Our Brain to Understand Learning Auditorium (Fine Arts F2265)Grant Goris