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Schedule
Sessions
Speakers
Schedule
July 9, 2016
December 31, 1969
General
Big Data
Data Science
Hadoop / Spark / Kafka
NoSQL
Use Case Driven
GC-150
Library 4th floor
GC-130
GC-160
FA-100
8 AM
9 AM
10 AM
11 AM
12 PM
1 PM
2 PM
3 PM
4 PM
5 PM
Real-time analytics at scale with Druid
10:30 AM
at
GC-150
Portable Stream and Batch processing with Apache Beam and Google Cloud Dataflow
11:10 AM
at
Library 4th floor
Building scalable enterprise data flows and IoT apps using Apache NiFi
11:50 AM
at
GC-130
Twitter Heron @ Scale
1:30 PM
at
Library 4th floor
Warner Bros. Digital Consumer Intelligence at Scale
2:10 PM
at
GC-160
Rapid Analytics @ Netflix LA (Updated and Expanded)
2:50 PM
at
FA-100
Sponsored - Puree through Trillions of clicks in seconds
3:50 PM
at
GC-130
How To Use Impala and Kudu To Optimize Performance for Analytic Workloads
4:30 PM
at
Library 4th floor
Apply R in Enterprise Applications
4:00 PM
at
GC-150
Fluentd and Embulk: Collect More Data, Grow Faster
4:00 PM
at
GC-130
Data storytelling for impact
10:30 AM
at
GC-160
Decision Making and Lambda Architecture
11:10 AM
at
GC-130
Sponsored - Data Science + Hollywood
11:50 AM
at
GC-160
Enabling Cross-Screen Advertising with Machine Learning and Spark
1:30 PM
at
FA-100
The right tool for the job: Guidelines for algorithm selection in predictive modeling
2:10 PM
at
Library 4th floor
Stream processing with R and Amazon Kinesis
2:50 PM
at
GC-160
Sponsored - The Evolving Data Science Landscape
3:50 PM
at
FA-100
Affinity Marketing Leveraging Crowdsourced Psychographics
4:30 PM
at
GC-130
Intuit's Payments Risk Platform
4:00 PM
at
FA-100
Backstage to a Data Driven Culture: Your Data Science and Analytics Stack
4:00 PM
at
GC-150
Real-time Aggregations, Approximations, Similarities, and Recommendations at Scale using Spark Streaming, ML, GraphX, Kafka, Cassandra, Docker, CoreNLP, Word2Vec, LDA, and Twitter Algebird
10:30 AM
at
FA-100
Iterative Spark Development at Bloomberg
11:10 AM
at
FA-100
Alluxio (formerly Tachyon): An Open Source Memory Speed Virtual Distributed Storage
11:50 AM
at
Library 4th floor
Data Provenance Support in Spark
1:30 PM
at
GC-150
Introduction to Kafka
2:10 PM
at
GC-130
Building an Event-oriented Data Platform
2:50 PM
at
Library 4th floor
Panel - Interactive Applications on Spark?
4:00 PM
at
GC-150
Why is my Hadoop cluster slow?
4:00 PM
at
GC-160
Deep Learning at Scale
4:00 PM
at
FA-100
Real Life IoT Architecture
10:30 AM
at
GC-130
Amazon DynamoDB - Focus on Your Data and Leave Ops to Someone Else
11:10 AM
at
GC-150
Sponsored - Spark And Couchbase: Augmenting The Operational Database With Spark
11:50 AM
at
GC-160
Using Redis Data Structures to Make Your App Blazing Fast
1:30 PM
at
GC-130
Apache Kudu: Fast Analytics on Fast Data
2:10 PM
at
GC-150
Big Data and Real Estate
2:50 PM
at
GC-150
Sponsored - Analytics at the Speed of Light with Redis and Spark
3:50 PM
at
Library 4th floor
Introduction to Graph Databases
4:30 PM
at
FA-100
MongoDB 3.2 Goodness!!!
4:00 PM
at
GC-130
Privacy vs. Security in a Big Data World
4:00 PM
at
Library 4th floor
Reliable Media Reporting in an Ever-changing Data Landscape
10:30 AM
at
Library 4th floor
The Encyclopedia of World Problems
11:10 AM
at
GC-160
Sponsored - BI is broken
11:50 AM
at
GC-150
Dealing with Data Discomfort: Getting Bureaucrats to Embrace Data and Analytics
1:30 PM
at
GC-160
Data and Hollywood: "Je t'Aime ... Moi Non Plus"
2:10 PM
at
GC-160
Hydrator: Open Source, Code-Free Data Pipelines
2:50 PM
at
GC-130
Sponsored - From Clusters to Clouds, Hardware Still Matters
3:50 PM
at
GC-160
How to Use Design Thinking to Jumpstart Your Big Data Projects
4:30 PM
at
GC-160
Shaping the Role of Data Science: An Evolution towards Prescriptive Analytics as Key Driver in Revenue Acceleration
4:00 PM
at
Library 4th floor
Raising Venture Capital for Data Driven Startups
4:00 PM
at
GC-160