August 17 to 19 2015, Seattle, WA.

Big Data Developer Conference

Big Data Track

Day - 1 ( August 17 Monday 7:30AM - 8:00PM )

7:30 AM - 8:00 AM Registration
8:00 AM - 8:30 AM Introduction to BigData
8:30AM - 11:45PM Introduction to Hadoop
HDFS Deep Dive
HDFS Lab
Fundamentals Lab: Connect to VM and Install CM + CDH
MapReduce Deep Dive
11:45PM - 12:30PM Designing Hybrid Data Solutions with NoSQL and RDF (Kurt Cagle, Founder, Semantical)
12:30 PM - 1:00PM Lunch Break
1:00PM - 1:45PM Neo4j, Cypher and Bigdata (Michael Kilgore, CEO, infoClear Consulting)
1:45PM - 2:30PM MapReduce Lab
2:30PM - 3:30PM Developing application and running on Hadoop
3:30PM - 3:40PM Break
3:40PM - 4:30PM Amazon EC2 and CDH setup
4:30PM - 5:45PM Hive Workshop
5:45PM - 6:30PM Use Case: Using Predictive modeling to anticipate customer churn in Pet Insurance (Tj Houk, VP Analytics, Trupanion)
6:30PM - 7:15PM Big Data Best Practices (Tony Shan, Chief Enterprise Architect, CTS)
7:15PM - 8:00PM Don't be a me too player...do more, faster and cheaper with Big Data (Sridhar Katta, CEO, True Value Solutions)

Day-2 ( August 18 Tuesday 8AM - 8:00PM )

8:00AM - 8:15AM Introduction to NoSQL Databases for Developers & Polyglot Persistence(Cassandra, Neo4j, MongoDB)
8:15 AM - 11:45 AM Cassandra Workshop
12:00 PM -- 1:00PM Lunch Break
1:00 PM - 5:00PM

Data Science with R workshop

5:00 PM - 6:00PM

Hadoop Management with Apache Ambari (Jayush Luniya, Member Technical Staff, Hortonworks)

6:00 PM - 8:00 PM Deep Learning & Machine Learning Workshop (Piotr Teterwak, Software Engineer, Dato)

Day -3 ( August 19 Wednesday 7:45AM-6:00PM )

7:45 AM - 8:00 AM Registration
8:00 AM - 9:00 AM Introduction to Spark
9:00 AM - 11:15 AM RDD, DAG, Spark Core & Scala Workshop
11:15 AM - 12:00 PM Enabling cross-datastore replication with Hive (Sushanth Sowmyan,  Software Engineer, Hortonworks)
12:00 PM - 12:30PM Lunch Break
12:30PM - 1:15 PM Cortana Analytics : Transform data into intelligent action (Nishant Thacker, Sr. Technical Product Manager, Microsoft)
1:15PM - 2:00PM Spark SQL Workshop
2:00PM - 3:00PM Spark Streaming Workshop
3:00PM - 3:05PM Break
3:05PM - 4:00PM Machine Learning with Spark - MLlib Workshop
4:00PM - 5:00PM Spark GraphX Workshop - Graph Data Processing
5:00PM - 5:30PM BlinkDB and Tachyon
5:30PM - 6:00PM Spark Wrap-up and Q&A

NOTE: Agenda and speakers subject to change without notice

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