Big data and Hadoop training

Hello buddy I want to do Big data and Hadoop training program , so can you tell me about this program and give me contact number as well where I can call for registration in this program in banglore??

[Shaleen]

On your demand here I am telling you Big Data Hadoop Training Bangalore – Developer , Admin, Analytics & Architect Courses – 5 Days Hands On Sessions
Registation process has been start from December 26 – 30 , 2015 [5 Days] hands On Big Data Training with PoC work.
For Big Data Online Training you can Call +91 9789968765 / +91 9962774619 or can do male email: info@bigdatatraining.in


Course requirement :
The participants should have basic understanding or knowledge of java and linux.



Big data Hadoop Training Bangalore Course material
The attendees will learn below topics through lectures and hands-on exercises
– Understand Big Data & Hadoop Ecosystem
– Hadoop Distributed File System – HDFS
– Use Map Reduce API and write common algorithms
– Best practices for developing and debugging map reduce programs
– Advanced Map Reduce Concepts & Algorithms
– Hadoop Best Practices & Tip and Techniques
– Managing and Monitoring Hadoop Cluster
– Importing and exporting data using Sqoop
– Leverage Hive & Pig for analysis


Course Content:
What is Big Data & Why Hadoop?
• Big Data Characteristics, Challenges with traditional system
Hadoop Overview & it’s Ecosystem
• Anatomy of Hadoop Cluster, Installing and Configuring Hadoop
• Hands-On Exercise
HDFS – Hadoop Distributed File System
• HDFS Architecture, Name Nodes, Data Nodes and Secondary Name Node
• Hands-On Exercise
Map Reduce Anatomy
• How Map Reduce Works?
• The Mapper & Reducer, , Data Type, Input& Output Formats
Developing Map Reduce Programs
• Setting up Eclipse Development Environment, Creating Map Reduce Projects, Debugging and Unit Testing
• Developing a map reduce algorithm on real world scenario
• Hands On Exercises
Advanced Map Reduce Concepts
• Combiner, Partitioner, Counter, Compression, Setup and teardown, Speculative Execution, Zero Reducer and Distributed Cache
Advanced Map Reduce Algorithms
• Sorting, Searching , Multiple Inputs, Chaining multiple jobs
• Joins, Handling Binary & Unstructured data

Advanced Tips & Techniques
• Determining optimal number of reducers, skipping bad records
• Partitioning into multiple output files & Passing parameters to tasks
• Hadoop Cluster sizing and capacity planning
Monitoring & Management of Hadoop
• Managing HDFS with Tools like fsck and dfsadmin
• Using HDFS & Job Tracker Web UI
• Routine Administration Procedures
• Hands On Exercises
Sqoop
• Importing and Exporting data from using RDBMS
• Hands On Exercises – Import and Export
Hive
• Hive Basics, Internal & External Tables, Partitioning, Buckets
• Writing queries – Joins, Union, Dynamic partitioning, Sampling
• Hands On Exercise – Structured data analysis
Pig
• Pig Basics, Loading data files
• Writing queries – SPLIT, FILTER, JOIN, GROUP, SAMPLE, ILLUSTRATE etc.
• Hands On Exercise – Semi-structured Data Analysis
Setting up a Hadoop Cluster ( Access to 50 Node Hadoop Cluster )
• Hands-On Session
Hadoop Best Practices