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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. 
JY

Jessica Yeo

Medtronic
Sr Prin Enterprise Architect
Mounds View MN
Tuesday, June 7
 

9:00am CDT

Building A Stream Data Platform For Everyone: Apache Kafka and the Confluent Platform P0806 (1st floor)Benjamin Ortega

10:00am CDT

High Volume Streaming Data: How Amazon Web Services is Changing Our Approach P0806 (1st floor)Michael Krouze

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

Open Data Science and the Python Ecosystems Garden Room (1st floor)Jean Marie Bertoncelli 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 Unlocking the True Value of Hadoop with Open Data Science Auditorium (Fine Arts F2265)Kristopher Overholt

12:30pm CDT

Lunch with Data Science Teachers and Learners Garden Room (1st floor)

1:15pm CDT

Data Analysis Using Spark and Cloudera Impala Garden Room (1st floor)Kasaba Bharathi

2:00pm CDT

Fighting Crime with SPSS Modeler and the Weather Channel Data P0806 (1st floor)Eric Lowry • Maciej Lazarewicz, PhD

3:00pm CDT

Ensembles and Hyperparameter Optimizaton: Letting the Machines do the Learning P0806 (1st floor)Ravi Shanbhag

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

4:30pm CDT

Networking Social TBA