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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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Future of Analytics
Keynote
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Tuesday
, June 7
Auditorium (Fine Arts F2265)
9:00am •
Conference Kickoff and Keynote
10:00am •
The Journey to a Modern Data-to-Insight Pipeline
10:45am •
Enabling Big Data Research at the Minnesota Supercomputing Institute
11:45am •
Unlocking the True Value of Hadoop with Open Data Science
1:15pm •
Market Competitiveness Scoring
2:00pm •
Introduction to Scala and Spark
3:00pm •
Data Drives Change. Change Drives Opportunity
3:45pm •
Using Our Brain to Understand Learning
Garden Room (1st floor)
9:00am •
Free your Data (and your Analysts): The Keys to Becoming an Analytics-Driven Organization
10:00am •
A Bayesian Approach to Predictive Pricing
10:45am •
Data Science is Getting Easier…Maybe?
11:45am •
Open Data Science and the Python Ecosystems
12:30pm •
Lunch with Data Science Teachers and Learners
1:15pm •
Data Analysis Using Spark and Cloudera Impala
2:00pm •
How AoT is Monetizing IoT
3:00pm •
The Benefits of Spherical Cows (Hypothetical Modeling)
3:45pm •
Open Lightning Talks
Lab (2nd floor)
9:00am •
HDFS/Hadoop Training
10:45am •
Spark Training
P0806 (1st floor)
9:00am •
Building A Stream Data Platform For Everyone: Apache Kafka and the Confluent Platform
10:00am •
High Volume Streaming Data: How Amazon Web Services is Changing Our Approach
10:45am •
Learning from History's Largest Source of Knowledge: The Promise and Pitfalls of Mining Wikipedia
11:45am •
Making Anyone a Hadoop User: Full-text Search with Apache Solr and Hadoop Made Easy
12:30pm •
Analytics for Impatient People
1:15pm •
Text Convolution Neural Network (CNN) with TensorFlow & GPUs
2:00pm •
Fighting Crime with SPSS Modeler and the Weather Channel Data
3:00pm •
Ensembles and Hyperparameter Optimizaton: Letting the Machines do the Learning
3:45pm •
Counting People With a Camera and Computer Number Tables: A Talk Using Only the 1000 Most Simple Words In Our Language
P0808 (1st floor)
9:00am •
BASH Through the Barriers: Moderating the Clinical Research and Computational Divide
10:00am •
Data Warehousing the Easy Way with AWS Redshift
10:45am •
Function Over Framework: Mapreduce, Tez and Spark - How to Select What Jobs to Run Where
11:45am •
Taming the Elephant: A General Mills Tale
12:30pm •
Connected Cars, Gaming, and Oil Rigs - A Fast Connected World with the Cassandra Database
1:15pm •
Master Data - The Foundation to Big Data
2:00pm •
Using Streaming Technology to Enable Real-time Applications
3:00pm •
Neural Networks for Newbies
P0838 (1st floor)
10:00am •
R Studio Server on Amazon EMR
10:45am •
Graph Database with Cassandra
11:45am •
AOL's High Throughput Big Data Ecosystem
1:15pm •
Data Wrangling on Hadoop – Overcoming Enterprise Challenges
2:00pm •
Developing Fast and Scalable Customer Intelligence Solutions on AWS Redshift
P1808 (2nd floor)
10:00am •
Driving Data Initiatives (Even when you're not in charge)
10:45am •
Exploratory Data Analysis and Tag Identification with LDA model for Stack Overflow Data
11:45am •
Turning more than 80 Million Rows of Data Into Easy-to-use Insights with Spotfire, Python & SQL Server
12:30pm •
Lunch with Job Seekers and Hiring Managers
1:15pm •
Python Training -- Open Data Science with Anaconda: A Dozen of the Top Python Libraries in 90 Minutes.
3:00pm •
Python Training -- Open Data Science with Anaconda: A Dozen of the Top Python Libraries in 90 Minutes
P1838 (second floor)
10:00am •
Start with a Question
10:45am •
Big Data, Big Event: The past and future of MinneAnalytics
11:45am •
Detecting Bad Data with Zeppelin
Room K1450 (2nd floor)
10:45am •
Watson Analytics: Your Data Scientist in a Box
TBA
9:00am •
Free LinkedIn Portraits
4:30pm •
Networking Social
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)
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Architects
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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
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Dates
Tuesday
, June 7
Types
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
Venues
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