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MNP TECHNOLOGIES offers Best Training courses in Bangalore,Best Training Institute MNP TECHNOLOGIES is a Ind ia's leading training network with associated training centers across India. MNP TECHNOLOGIES bangalore training center is part of MNP TECHNOLOGIES training academy network operated in Bangalore, India. MNP TECHNOLOGIES training in bangalore offers training courses in IT software,Computer ,with strong base of placement support, real-time trainers with working experience in MNC companies, tailor-made training curriculum to meet the career objective of the students and working professionals.We ensure our way of training will not make you feel like being in a Typical Training Center.We offer Training for freshers as well as working professionals courses like SAP,ORACLE,TESTING,HADOOP,DATAWAREHOUSING TOOLS,MOBILE APPS ARE OFFERED . MNP TECHNOLOGIES Training in bangalore has strong network of experienced real time MNC working professionals with sound domain knowledge on multiple training courses to provide job oriented and cheap course fee using a state-of-art training facilities available with our network of training institutes in bangalore. We offer Training for freshers as well as working professionals
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Hadoop Course Contents
Basic,Intermediate,Advanced Level Course: [Starts Here]
Introduction and Motivation of Hadoop o What is Big Data o Challenges in Big Data
o Challenges in Traditional Application o New Requirements [YARN ARC.]o What is Hadoop
o Brief history of Hadoop o Features of Hadoop o Hadoop v/s RDBMS o Hadoop Ecosystem’s overview o Overview of HDFS and MapReduce
Understanding Hadoop Distributed File System o Understanding Configuration o HDFS Concepts
Blocks
Replication Version File Safe mode NameSpace IDs
o Reading and Writing in HDFS o Understanding NameNode o Understanding Data Node o Understanding Secondary NameNode o Understanding Job Tracker o Understanding Task Tracker
HDFS Shell Commands o Hands On Exercise
Accessing HDFS using API o Understanding HDFS Java classes and methods o Hands On Exercise
Map Reduce Programming o Understanding block and input splits
o Common Input and Output Formats o MapReduce Data types
o Understanding Writable and WritableComparable (Introduction) o Data Flow in MapReduce Applicationo Understanding WordCount problemo Writing MapReduce Application
Understanding Mapper function Understanding Reducer Function Understanding Driver Understanding Tool Runner Hands on Exercise
o Older and Newer APIo Solving common problems
Average word length Inverted Index Word Co-Occurrence Searching Sorting Hands on exercise
MapReduce Continued o Using Combiner o Using Distributed Cache
o Passing the parameters to mapper and reducer o Using Counterso Hands On Exerciseo Writing Custom key values o Writing Custom Partitioner o Hands On Exercise o Writing Custom Input Format o Using Hadoop Archives
Secondary Sorting o Motivation o Understanding o Hands On
Joins o Map Side Join o Reduce Side join o Hands on
Practical development o Calculating Number of Reducers o Map Only Jobs o Compression
Basic Course : [Ends Here]
Introduction to PIG o Terminology o Understanding Pig Program, structure and Executiono Pig Data typeso Loading and Dumping Datao Filteringo Group and Co-Groupo Joins
Inner Join Left Outer Join Right Outer Join Full Outer Join
o Schema Merging and Redefining Schema o Pig Functions o Writing Custom UDFs o Hands on
Introduction to Hive o Motivation and Understanding Hive
o Using Hive Command line Interface o Data types and File Formats
o Basic DDL operations o Schema Design
Intermediate Course: [Ends Here]
Sqoop, Flume & Hbase
Crawling (With Apache Nutch & Weblech)Content Extraction (with Apache Tika)
Customer Analytics POC
Advanced Course: [Ends Here]