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Big Data Tech 2016
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Big Data Tech 2016
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.
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Medium (somewhat technical)
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Data Science Spotlight
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Mild (not very technical)
All
Data Engineers
Data Science Spotlight
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Future of Analytics
Keynote
Spicy (very technical)
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Joseph Retzer
ACT MR-Solutions
Principle
https://linkedin.com/in/josephretzer
Tuesday
, June 7
9:00am CDT
HDFS/Hadoop Training
Lab (2nd floor)
Brock Noland
10:45am CDT
Exploratory Data Analysis and Tag Identification with LDA model for Stack Overflow Data
P1808 (2nd floor)
Sona Maniyan • Ramesh Ramanujam
Spark Training
Lab (2nd floor)
Brock Noland
11:45am CDT
Making Anyone a Hadoop User: Full-text Search with Apache Solr and Hadoop Made Easy
P0806 (1st floor)
Karl Lacher • Mac Noland
1:15pm CDT
Data Analysis Using Spark and Cloudera Impala
Garden Room (1st floor)
Kasaba Bharathi
Text Convolution Neural Network (CNN) with TensorFlow & GPUs
P0806 (1st floor)
John Hudzina, PhD
2:00pm CDT
Introduction to Scala and Spark
Auditorium (Fine Arts F2265)
Brad Rubin
3:00pm CDT
Python Training -- Open Data Science with Anaconda: A Dozen of the Top Python Libraries in 90 Minutes
P1808 (2nd floor)
Ian Stokes-Rees
Ensembles and Hyperparameter Optimizaton: Letting the Machines do the Learning
P0806 (1st floor)
Ravi Shanbhag
Timezone
Big Data Tech 2016
America/Chicago
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Normandale Partnership Center, 9700 France Ave S, Bloomington, MN 55431
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Auditorium (Fine Arts F2265)
Garden Room (1st floor)
Lab (2nd floor)
P0806 (1st floor)
P0808 (1st floor)
P0838 (1st floor)
P1808 (2nd floor)
P1838 (second floor)
Room K1450 (2nd floor)
TBA
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Medium (somewhat technical)
All
Architects
Data Engineers
Data Science Spotlight
Featured
Mild (not very technical)
All
Data Engineers
Data Science Spotlight
Featured
Future of Analytics
Keynote
Spicy (very technical)
All
Architects
Data Science Spotlight
Featured
Training
Popular