About the Course
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
Hadoop is open source implementation from Apache foundation.
Topics CoveredCourse Contents
Comparision of SQL Databases and Hadoop
Big data characteristics,
Mapreduce vs SQL
Parallel processing capabilities of Map Reduce
Installing and Configuring
Name Nodes and Data Nodes
HDFS vs local file systems
HDFS file operation commands
Map Reduce and HDFS
Map Reduce programming
Mapper and Reducer operations
Input and Output Formats
Advanced Map reduce
Sorting, Searching, Indexing
Chaining Multiple Jobs
Filecheck and DFS admin
HDFS and job tracker UI
Adding and removing Nodes
Using multiple output files
Case Study or Hands on programming
Duration - 4days
Tentative Workshop - 2 Week End.
( Demo classes every Saturday 3.pm)
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.
Who should attendWho is going to benefit: System Architects, Data warehousing Analysts, Companies which want to exploit multi terabyte data by data mining
Pre-requisitesPrerequisite:- Knowledge of JAVA and databases required and 5 year Development Experience.
What you need to bringNothing"
Key TakeawaysHighly paid demanding technology opportunities.