Big Data Bootcamp is on August 28th, 29th and 30th 2015. Global Big Data Conference is offering 3 day extensive bootcamp on Big Data. This is a fast paced, vendor agnostic, technical overview of the Big Data landscape. No prior knowledge of databases or programming is assumed. Big Data Bootcamp is targeted towards both technical and non-technical people who want to understand the emerging world of Big Data, with a specific focus on Hadoop, NoSQL & Machine Learning. Attendees will experience real Hadoop clusters and the latest Hadoop distributions.

1. Big Data Bootcamp
Austin Convention Center
Global Big Data Conference is offering 3 day
extensive Bootcamp on Big Data.
 Date: August 28th , 29th & 30th
 Venue : Austin Convention Center

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/55/austin/big-data-
bootcamp/attendee-registration.html

4. Agenda
Days Big Data Track
Day1
Aug – 28th
(7:30AM – 8:00PM)
•Registration
•Introduction to Big Data & Spark
•RDD, DAG, Spark Core
•Scala Workshop
•A Primer on Scaling NoSQL Technologies with an
Emphasis on MongoDB
•Spark SQL Workshop
•Spark Streaming Workshop
•Machine Learning with Spark - MLlib Workshop
•Spark GraphX Workshop - Graph Data Processing
•BlinkDB and Tachyon
•Spark Wrap-up and Q&A
•Use Case: Spark & Spark Streaming

5. Agenda
Days Big Data Track
Day2
Aug 27th
(7:45AM – 8:00PM)
• Introduction to NoSQL Databases for
Developers & Polyglot Persistence
•HBase Workshop
•Career in Analytics: An Analytical Approach to
“tasting before eating” from the Analytics
buffet
•Keynote: New Features in Cassandra
•Python data analytics stack
•Cassandra Workshop
•Neo4J Workshop

6. Agenda
Days Big Data Track
Day3
Aug – 30th
(8:00AM – 8:00PM)
• Introduction to Hadoop
•Hadoop Architecture
•Setting up the development environment
•Understand distributed file system (HDFS)b
•Understand distributed processing framework (Map Reduce
and Non Map Reduce)
•Overview of Hadoop eco system (HDFS, Map Reduce, Hive/Pig,
Sqoop, HBase, Spark, Impala etc)
•Fast Time-Series Analytics with HBase and R
•Selecting the Right Big Data Tool for the Right Job, & Making It
Work for You
•Hands on workshop to convert data into analytics
•Introduction to Data Ingestion - Tips and Techniques
•Overview of Hadoop eco system
•Creating dashboard against data processed using Hadoop eco system
•Tools used - HDFS, Hive, Hue, Tableau Public
•Define your strategy to implement Hadoop, build a use case
and maximize return