ADVANCED TECHNOLOGY WORKSHOP ON BIG DATA HADOOP Developer Tr

ADVANCED TECHNOLOGY WORKSHOP ON BIG DATA HADOOP Developer Training @ Collaboration Technologies Vijayanagar, Bangalore

Duration - 10 hours class on 5 weekends
Prerequisite:- Knowledge of JAVA and databases required

Who is going to benefit: System Architects, Data warehousing Analysts, Companies which want to exploit multi terabyte data by data mining

Potential of Hadoop: Global giants are starting to move towards Bigdata, after experiencing limitations with traditional databases . Companies like Google, yahoo, facebook and Netflix have already gained immensely by using BIG DATA technologies.
Big data along with Cloud Computing are expected to grow exponentially in future and solve difficult problems in the field of Energy, Fraud detection, Finance etc

Why Hadoop over other big data solutions: Hadoop is open source implementation from Apache foundation. There are other expensive alternatives for handling huge data like Exadata, Big data appliance from Oracle, Nettezza from IBM, Cassandra, mogile FS etc. Hadoop is being used by major companies like Amazon, eBay, Inuit, Linkedin, Microsoft, Netapp, Netflix, SAP AG, SAS, Twitter etc

Profile of trainer: He has 10+ years of experience in developing, architecting and supporting enterprise solutions in MNC like TCS and IBM. He has experience of working for large clients like American Express, Deutsche Bank, JP Morgan etc. He provides consulting and training on Cloud Computing, Big Data, Amazon AWS and Hadoop.

Course Contents

CLASS-I
Hadoop Introduction:
Comparision of SQL Databases and Hadoop
Big data characteristics,
RDBMS Limitations
MapRuduce introduction
Mapreduce vs SQL
Parallel processing capabilities of MapReduce

CLASS-II
Hadoop Architecture
Hadoop Cluster
Installing and Configuring
Name Nodes and Data Nodes
HDFS
HDFS vs local filesystems
HDFS file operation commands
Map Reduce and HDFS

CLASS-III
Map Reduce programming
Mapper and Reducer operations
Input and Output Formats
Data Types
Customer Writables
Advanced Mapreduce
Sorting, Searching, Indexing
Chaining Multiple Jobs

CLASS-IV
Hadoop Administration
Filecheck and DFS admin
HDFS and job tracker UI
Routine Administration
Adding and removing Nodes

Advanced Techniques
Using multiple output files
Passing parameters

CLASS-V
Case Study or Hands on programming

Tentative Workshop start week end - September, 2012 Ist Week End.

Hurry Up and get started to take advantage of highly paid demanding technology opportunities.

Contact

Ramananda
Collaboration Technologies
www.collaborationtech.co.in
Email : [email protected]
Cell : 9886272445
Vijayanagar, Bangalore