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Hadoop Training in Bangalore


Hadoop Training in Bangalore & Best Hadoop Training in Marathahalli

Learn Hadoop from RIA Institute of Technology

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RIA Institute of Technology

4.9 out of 5
based on 1865 ratings.

RIA institute provides Best Hadoop training Institute in Marathahalli, Bangalore by experienced industry professionals and the Hadoop Training Institute in Bangalore is well equipped with advanced labs. Trainers working in Hadoop for more than 5 years are carefully chosen to conduct high quality Hadoop Training in Marathahalli, Bangalore so that the students can benefit from real time scenarios. Instructors offering Hadoop Training in Bangalore have practical knowledge as they implement their knowledge and expertise in day to day work. 

Course content by best Hadoop Training Institute in Bangalore is carefully crafted to match the industry requirements. The topics covered in Hadoop Training include latest and best real-time examples that are aimed to help students in getting the right job so after the completion of Training. Our expert instructors will highlight the Key topics from Hadoop Training based on the questions that can be possible asked by the interviewer during the job selection process; this provides confidence to the students while facing job interviews. 

RIA Institute provides Class room trainings, online training, Weekend classed and Fast track course for Hadoop Training in Bangalore. Students have the option to select the course timings according to their convenience. Once the Hadoop Training course timings are fixed with the instructor, students are required to complete the course in the same schedule. Our schedule for Hadoop Training in Bangalore is very flexible as we provide training in weekdays in morning and evening for students who cannot attend Hadoop Training in Bangalore during weekends due to their work schedule.

Talk to our Hadoop Training Experts now for a free Demo.


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We Cover the following Topics in Hadoop Training

Hadoop Course Contents
  • What is Big Data
  • What is Hadoop
  • Why Hadoop and its use cases
  • Different Componets of Hadoop
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 
  • Job Tracker and its functionality 
  • Task Track and its functionality 
  • Secondary Name Node and its functionality.
Data Storage in HDFS 
  • Introduction about Blocks 
  • Data Replication
Accessing HDFS 
  • CLI (Command Line Interface) and Admin commands 
  • DataNode Recommendations
  • NameNode Recommendations
  • Hadoop Archives
Hadoop Installation
  • MapReduce
  • MapReduce architecture
  • Map Reduce Programming Model 
  • Different phases of Map Reduce Algorithm 
  • Different Data types in Map Reduce 
 How to write a basic Map Reduce Program 
  • The Mapper 
  • The Reducer 
  • The Driver Code
  • Creating Input and Output Formats in Map Reduce Jobs 
  • Text Input Format 
  • Key Value Input Format 
  • Introduction to Map Reduce Pipeline 
  • Combiner and Partioner
  • YARN and Map Reducev2
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 
Execution Mechanism 
  • Grunt Shell 
  • Script 
  • Transformations in Pig
  • How to write a simple pig script
  • UDFs in Pig
HIVE
  • Hive Introduction
  • Difference between Pig and Hive
  • Difference between Hive and RDBMS
  • Hive Integration with Hadoop
  • Hive Query Language(Hive QL) 
  • Internal and External Table
  • Partition and Bucketing
  • Tuning of Hive
  • Authentication in Hive
  • Authorization in Hive
  • Speculative execution in Hive
  • Hive UDF
SQOOP
  • Introduction to Sqoop.
  • MySQL client and Server Installation
  • How to connect to Relational Database using Sqoop
  • Different Sqoop Commands 
  •    Import (MySQL data import to HDFS)
  •    Export 
Flume
  • Flume Introduction
  • Different components of Flume
  • Twitter data collection using Flume
Cassandra
  • Introduction 
  • Requirements of Cassandra
  • Cassandra Architecture
  • Write Operation
  • KeySpace and ColumnFamily
  • Storing and Reading data in Columnfamily
  • Datatypes in Cassandra
  • CQL and CLI Utility
  • CAP Theorem
  • Difference between HBase and Cassandra
  • Introduction to Splunk and Tableau
NOTE: Mock Interviews will be conducted on a one-to-one basis after the course duration. Real time project explanation. Interview Questions discussion

Hadoop Trainer Profile

Best Hadoop Trainers in Bangalore

  • 10 years of relavant work experience in Hadoop Training
  • Real time Traning on Hadoop Projects
  • 45 hrs of Job Oriented Training in Bangalore
  • Successfully Trained more than 1000+ Professionals

Our Hadoop Training centers in Bangalore

Best Hadoop Training in Marathalalli

  • Near Marathahalli Bridge

Best Hadoop Training in RT Nagar

  • Near LG Showroom

Job Oriented Hadoop Training in Bangalore

  • 1000s of Students are already working in Top MNC
  • Placement oriented course curriculum
  • Interview Tips and preparation


Hadoop Training Batch size in Bangalore

  • 10 Seats maximum per batch


Hadoop Training in Bangalore on Weekends

  • 10 Seats maximum per batch


Fast Track Hadoop Training Options

  • 5 Seats maximum per batch


Hadoop Training Cost

  • Best in class fee structure with quality training

JOIN TODAY



WHY CHOOSE RIA ?


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