Sched.com Conference Mobile Apps
Big Data Tech 2016
has ended
Create Your Own Event
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.
Schedule
Simple
Expanded
Grid
By Venue
Speakers
Sponsors
Info
Map
Search
or browse by date + venue
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
menu
Menu
Log in
Schedule
Speakers
Sponsors
Info
Map
Search
← Back
Eric Ness
Field Nation
Senior Data Scientist
Minneapolis, MN
https://linkedin.com/in/ericnessdata
Tuesday
, June 7
9:00am CDT
Conference Kickoff and Keynote
Auditorium (Fine Arts F2265)
SriSatish Ambati
10:00am CDT
Data Warehousing the Easy Way with AWS Redshift
P0808 (1st floor)
Eric Ness
10:45am CDT
Graph Database with Cassandra
P0838 (1st floor)
Brandon Veber
11:45am CDT
Detecting Bad Data with Zeppelin
P1838 (second floor)
Frank Schilder • Interana
Open Data Science and the Python Ecosystems
Garden Room (1st floor)
Jean Marie Bertoncelli
12:30pm CDT
Connected Cars, Gaming, and Oil Rigs - A Fast Connected World with the Cassandra Database
P0808 (1st floor)
Mitch Henderson
1:15pm CDT
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
The Benefits of Spherical Cows (Hypothetical Modeling)
Garden Room (1st floor)
Scott Ernst
Timezone
Big Data Tech 2016
America/Chicago
Filter By Venue
Normandale Partnership Center, 9700 France Ave S, Bloomington, MN 55431
Sort schedule by Venue
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
Filter By Type
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