Big Data BootcampAustin Convention Center

Global Big Data Conference is offering 3 day extensive Bootcamp on Big Data. 

 Date: August 28th , 29th & 30th Venue : Austin Convention Center

Who Should Attend

Engineers

Developers

Networking specialists

Managers

Executives

Students

Professional Services

Architects

Data Analyst

BI Developer/Architect

QA

Performance Engineers

PM

Click Below Url to Register

http://globalbigdataconference.com/55/austin/big-data-bootcamp/attendee-registration.html

AgendaDays 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 

AgendaDays Big Data Track

Day2Aug 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

AgendaDays Big Data Track

Day3Aug – 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