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Big Data Track

Day -1 ( March 23 7:30AM-8:00PM )

7:30 AM - 8:00 AM Registration
8:00 AM - 8:30AM Big Data Landscape
8:30 AM - 10:20AM Introduction to Hadoop 2.0
10:20AM -10:30AM Break
10:30 AM - 11:30AM HDFS Deep Dive, HDFS Lab
11:30 AM - 12:00PM Succeeding with Polyglot Persistence(Vladimir Bacvansk, Founder, SciSpike)
12:00 PM - 12:30PM Lambda Architecture & Apache Flink(Vladimir Bacvansk, Founder, SciSpike)
12:30 PM - 1:00PM Lunch Break
1:00PM - 3:20PM MapReduce Deep Dive, MapReduce Lab
3:20PM - 3:30PM Break
3:30PM - 4:30PM Hadoop: Amazon EC2 and CDH Setup & Hive Workshop
4:30PM - 5:00PM Breaking Into Big Data
5:00PM - 5:40PM How to use parquet as a basis for ETL and Analytics(Julien Le Dem, Staff Software Engineer, Twitter)
5:40PM - 8:00PM MongoDB Workshop

Day -2 ( March 24 8AM-8:00PM )

8:00 AM - 8:15 AM Introduction to NoSQL
8:15 AM - 11:00 AM Data Analysis Workshop(Daniel Templeton, Software Engineer, Cloudera)
- Data Management with HDFS
- Analysis with Hadoop streaming
- Analysis using Pig, Hive, and Impala
11:00 AM - 12:00 PM Data Science Vs The Bad guys: using Data to Defend Linkedin against Fraud and Abuse( David Freeman, ‎Head of Security Data Science, Linkedin)
12:00 PM - 12:30PM Lunch Break
12:30 PM - 1:10PM Hive on Spark is Blazing Fast .. or is it (Mostafa Mokhtar,Performance Engineer, Hortonworks)
1:10 PM - 2:20 PM Why did we choose MongoDB & Redis Over Hadoop to Start ?(Boian Spassov, CEO, Locbit)
2:20PM - 2:30PM Break
2:30 PM - 3:00 PM Big Data Trends and Startups(Sanjit Dang, VC, Intel Capital)
3:00 PM - 5:00PM Use Case: Convert NYSE raw data into dashboard using Hadoop eco system with no programming using SQL/Hive Query & Tableau(Durga Gadiraju, Big Data Architect)
5:00 PM - 8:00 PM HBase Workshop( Sridhar Reddy, Director, MapR)

Day -3 (March 25 8AM-8:00PM )

8:00AM-9:00AM Data Security in Hadoop for large enterprises(Ajit Gaddam, Chief Security Architect , Visa)
9:00 AM - 12:30 PM Spark Workshop
- Spark Core 
- Spark Streaming
- Scala
- Scala Lab
 
12:30 PM - 1:00PM Lunch Break
1:00 PM - 1:30 PM Management for Big Data Applications and Systems(Eric Chu, Software Engineer, Unravel)
1:30 PM - 6:00 PM

Spark Workshop
- Spark Core Lab
- Machine Learning and MLlib
- Advanced Spark
- Spark SQL
- Spark SQL Lab
- Data Frames
- Advanced Spark
6:00 PM - 8:00 PM Use Case: Apache Spark after Dark(Chris Fregly, Author of Effective Spark & Databricks)

Big Data Track II

 March 24 8AM-5:00PM

8:00 AM - 8:15 AM Introduction to Data Science
8:15 AM - 11:00 AM Practical Predictive Analytics using R workshop(Avkash Chauhan, Founder,  Big Data Perspective)
12:00 PM - 12:30PM Lunch Break
1:10 PM - 5:00 PM Cassandra Workshop

NOTE: Agenda and speakers subject to change without notice