December 07 to 09 2015, Tampa, FL.

Big Data Bootcamp

Big Data Track

Day - 1 ( December 7 Monday 7:30AM - 7:00PM )

7:30 AM - 7:00 AM Registration
8:00 AM - 8:30 AM Introduction to BigData
8:30AM - 11:00AM Introduction to Hadoop
HDFS Deep Dive
HDFS Lab
MapReduce Deep Dive
11:00AM - 12:00PM Hive Workshop
12:00 PM - 1:00PM Lunch Break
1:00PM - 2:00PM An Introduction to Machine Learning with Spark -- how to create and deploy machine learning projects for large, distributed data sets using Spark and MLLib (John Ternent, Director, RCG Global Services)
2:00PM - 2:40PM Democratizing Machine Learning in the Enterprise (Jesus Rodriguez, CTO & Founder, Tellago)
2:40PM - 2:50PM Break
2:50PM - 7:00PM HBase Workshop

Day-2 ( December 8 Tuesday 8AM - 7:10PM )

8:00AM - 8:15AM Introduction to NoSQL Databases for Developers & Polyglot Persistence(Cassandra, Neo4j, MongoDB)
8:15 AM - 12:00PM Cassandra Workshop
12:00 PM - 12:30PM

Voracity - Big Data Management (new platform with test data, masking, and integration use cases) (David Friedland, SVP, IRI, The CoSort Company)

12:30 PM -- 1:00PM Lunch Break
1:00 PM - 2:00PM

Big Data in the Trenches -- Patterns, Tips, and Tricks for Big Data Projects (John Ternent, Director, RCG Global Services)

2:00 PM - 3:00PM

Securing Hadoop in Real Time (Arun Manoharan, Product Management, eBay )

3:00PM - 3:10PM Break
3:10 PM - 7:10PM

Data Science with R workshop

Day - 3( December 9 Wednesday 7:45AM-7:00PM )

7:45 AM - 8:00 AM Registration
8:00 AM - 8:30 AM Introduction to Spark (Carol Mcdonald, Software Architect, MapR)
8:30 AM - 10:00 AM Load and Inspect Data in Apache Spark
10:00 AM - 11:30 PM Build a Simple Apache Spark Application
11:30 AM - 12:00 PM Work with Pair RDD
12:00 PM - 12:30PM Lunch Break
12:30PM - 1:30 PM Case Study - Restaurant data analytics on the Google Big Data Platform (John Ternent, Director, RCG Global Services)
 
1:30PM - 2:10 PM Turning powerful datasets into art (Branden Elwell, SVP, VisualCue)
 
2:10PM - 3:00PM Build an Application Using Spark DataFrames
3:30PM - 3:30PM Monitor a Spark Application
3:30PM - 3:35PM Break
3:35PM - 4:30PM Spark Streaming (Lab: Writing a Spark Streaming with HBase Application )
4:30PM - 6:30PM Spark Machine Learning
6:30PM - 7:00PM Spark Wrap-up and Q&A

NOTE: Agenda and speakers subject to change without notice

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