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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.

#1

Using Our Brain to Understand Learning

#2

Free your Data (and your Analysts): The Keys to Becoming an Analytics-Driven Organization

#3

Neural Networks for Newbies

#4

Taming the Elephant: A General Mills Tale

#5

Master Data - The Foundation to Big Data

#6

Market Competitiveness Scoring

#7

Conference Kickoff and Keynote

#8

Driving Data Initiatives (Even when you're not in charge)

#9

Data Drives Change. Change Drives Opportunity

#10

Start with a Question

#11

Turning more than 80 Million Rows of Data Into Easy-to-use Insights with Spotfire, Python & SQL Server

#12

Data Analysis Using Spark and Cloudera Impala

#13

Introduction to Scala and Spark

#14

How AoT is Monetizing IoT

#15

A Bayesian Approach to Predictive Pricing

#16

HDFS/Hadoop Training

#17

The Journey to a Modern Data-to-Insight Pipeline

#18

High Volume Streaming Data: How Amazon Web Services is Changing Our Approach

#19

Spark Training

#20

Connected Cars, Gaming, and Oil Rigs - A Fast Connected World with the Cassandra Database

#21

Making Anyone a Hadoop User: Full-text Search with Apache Solr and Hadoop Made Easy

#22

Enabling Big Data Research at the Minnesota Supercomputing Institute

#23

Unlocking the True Value of Hadoop with Open Data Science

#24

Text Convolution Neural Network (CNN) with TensorFlow & GPUs

#25

Data Science is Getting Easier…Maybe?

#26

Ensembles and Hyperparameter Optimizaton: Letting the Machines do the Learning

#27

Analytics for Impatient People

#28

Developing Fast and Scalable Customer Intelligence Solutions on AWS Redshift

#29

Python Training -- Open Data Science with Anaconda: A Dozen of the Top Python Libraries in 90 Minutes

#30

Function Over Framework: Mapreduce, Tez and Spark - How to Select What Jobs to Run Where

#31

Using Streaming Technology to Enable Real-time Applications

#32

Fighting Crime with SPSS Modeler and the Weather Channel Data

#33

Building A Stream Data Platform For Everyone: Apache Kafka and the Confluent Platform

#34

The Benefits of Spherical Cows (Hypothetical Modeling)

#35

BASH Through the Barriers: Moderating the Clinical Research and Computational Divide

#36

Data Warehousing the Easy Way with AWS Redshift

#37

Open Data Science and the Python Ecosystems

#38

Exploratory Data Analysis and Tag Identification with LDA model for Stack Overflow Data

#39

R Studio Server on Amazon EMR

#40

Graph Database with Cassandra

#41

AOL's High Throughput Big Data Ecosystem

#42

Networking Social

#43

Python Training -- Open Data Science with Anaconda: A Dozen of the Top Python Libraries in 90 Minutes.

#44

Watson Analytics: Your Data Scientist in a Box

#45

Data Wrangling on Hadoop – Overcoming Enterprise Challenges

#46

Lunch with Data Science Teachers and Learners

#47

Counting People With a Camera and Computer Number Tables: A Talk Using Only the 1000 Most Simple Words In Our Language

#48

Lunch with Job Seekers and Hiring Managers

#49

Detecting Bad Data with Zeppelin

#50

Learning from History's Largest Source of Knowledge: The Promise and Pitfalls of Mining Wikipedia