SivaSoft Online Trainings on Hadoop Development in ameerpet hyderabad india

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SivaSoft (Training & Development) is An ISO 9001:2008 CERTIFIED Company and Expertise in classroom (Regular, weekend, workshop) & online training with real-time (industry experts) trainers. …

SivaSoft (Training & Development) is An ISO 9001:2008 CERTIFIED Company and Expertise in classroom (Regular, weekend, workshop) & online training with real-time (industry experts) trainers.

Contact us :
Email ID :sivasoft@sivasoft.in
Mobile No : 9248153330 /31 /32


For more details: http://sivasoft-online-trainings.com/online-hadoop-development-training-course/

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  • 1. online hadoop development training course ONLINE HADOOP DEVELOPMENT DURATION : 45hrs CLASSES PER WEEK : 5 DAYS(1 hour per day) or 2 DAYS (2.5 hour on saturday and 2.5 hour on sunday) FREE RESOURCES COURSE MATERIAL COURSE RESOURCES HADOOP INTERVIEW QUESTIONS & GUIDANCE FOR HADOOP ADMINISTRATION COURSE : Click here FACULTY : Mr.SRINIVAS FEE : Rs.12,000/- HADOOP     What is Hadoop? Why Hadoop and its use cases. Different Ecosystems of Hadoop. Hadoop is Good For And Hadoop Is Not Good For. HDFS(Hadoop Distributed File System)      Significance of HDFS in Hadoop Features of HDFS 5 daemons of Hadoop  Name Node and its functionality  Data Node and its functionality  Secondary Name Node and its functionality  Job Tracker and its functionality  Task Tracker and its functionality Data Storage in HDFS  Introduction about Blocks  Data replication Accessing HDFS
  • 2.   CLI(Command Line Interface) and admin commands Java Based Approach MAPREDUCE      Map Reduce Architecture Map Reduce Programming Model  Different phases of Map Reduce Algorithm  Different Data types in Map Reduce  How Write a basic Map Reduce Program  The Driver Code  The Mapper  The Reducer Creating Input and Output Formats in Map Reduce Jobs  Text Input Format  Key Value InputFormat  Sequence File Input Format Data localization in Map Reduce Combiner(Mini Reducer) and Partitioner Apache PIG          Introduction to Apache Pig Map Reduce Vs Apache Pig SQL Vs Apache Pig Different datatypes in Pig Modes Of Execution in Pig  Local Mode  Map Reduce OR Distributed Mode ExectionMehanism  Grunt Shell  Script  Embeddeb Transformations in Pig How to write a simple pig script UDFs in Pig HIVE        Hive Introduction Hive architecture Hive Meta Store Hive Integration with Hadoop Hive Query Language(Hive QL) SQL VS Hive QL Hive Transform
  • 3. SQOOP     Introduction to Sqoop. MySQL client and Server Installation How to connect to Relational Database using Sqoop Different Sqoop Commands  Different flavors of Imports  Export H Base     Hbase introduction Hbaseusecases Hbase basics  Column families  Scans Hbase Architecture NOTE:    Real time project explanation will be provided at the end of the course. Mock Interviews will be conducted on a one-to-one basis after the course duration. Discussing about interview questions.