Global Big Data Conference is offering 3 day extensive Developer conference on Big Data. This is a fast paced, vendor agnostic, technical overview of the Big Data landscape.

1. Spark Conference
Global Big Data Conference is offering 3 day
extensive Developer conference on Big Data.
 Date: March 23rd , 24th & 25th
 Venue : Hilton, Santa Clara

2. Who Should Attend
Engineers
Developers
Networking specialists
Managers
Executives
Students
Professional Services
Architects
Data Analyst
BI Developer/Architect
QA
Performance Engineers
PM

3. Click Below Url to Register
http://globalbigdataconference.com/45/santa-clara/big-data-
developer-conference/attendee-registration.html

4. Agenda
Days Big Data Track
Day1
March– 23rd (7:30AM – 8:00PM)
•Registration
•Introduction to Big Data
•Introduction to Hadoop 2.0
•HDFS Deep Dive, HDFS Lab
•Use Case
•MapReduce Deep Dive, MapReduce Lab
•Hadoop: Amazon EC2 and CDH Setup
•Use Case

5. Agenda
Days Big Data Track
Day2
March 24th
(8:00AM – 8:00PM)
• Introduction to NOSQL
•Cassandra workshop
•Use Case
•Data Wrangling With R - An etude :
Workshop( Krishna Sankar, Blackarrow.tv)
•Breaking Into Big Data
•Big Data Security : Security from Big data
& Security for Big Data
•Hadoop Deployment Challenge

6. Agenda
Days Big Data Track
Day3
March – 25th
(8:00AM – 6:00PM)
• Big Data and Cyber Security - A case study for
DDoS(Dr. Satyam Priyadarshy, Halliburton)
•HBase Workshop
•Big Data Trends and Startups
•Use Case: Convert NYSE raw data into dashboard
using Hadoop eco system with no programming
using SQL/Hive Query & Tableau*
•Use Case: Apache Spark after Dark(Chris Fregly,
Author of Effective Spark & Databricks)

7. Agenda
Days Big Data Track II
Day2
March – 24th
(10:00AM – 8:00PM)
•Introduction to NOSQL
•MongoDB Workshop
•Neo4J Workshop
•Big Data Security : Security from Big data &
Security for Big Data
•Breaking Into Big Data
•Hadoop Deployment Challenges

8. Agenda
Days Big Data Track II
(Big Data Analytics with Spark(Full day workshop))
Day3
March – 25th
(9:00AM – 6:00PM)
•Spark Core
•Spark SQL
•Spark Streaming
•Machine Learning and MLlib
•Scala
•Advanced Spark
•Big Data Trends and Startups
•Scala Lab
•Spark Core Lab
•Spark SQL Lab
•MLib Lab Spark Streaming lab