HADOOP

Databytes, is Software training, consulting hub and we are specialized in “HADOOP”, Java, Software testing.NET, Informatica, hadoop, PL/SQL, Angular JS, Oracle DBA, Tableau, Qlickview, Linux, Android, IOS, networking, CCNA, Web Designing, Web Development, Web Sphere, HR Training, Python, Perl , Auto cad and SEO.

Trainers:

Our Trainers are working professionals with 8 plus years of Experience, we provide you selected industry experts after a quest of suitable teaching presentation guru’s along with technical constraints, techniques which matches to the industry standards and needed for job hunt

Virtual box/VM Ware :

  • Basics & Installations

Linux :

  • Basics

Hadoop:

  • What is Hadoop?
  • Why Hadoop and flow of Hadoop
  • Scaling
  • Distributed Framework
  • Hadoop v/s RDBMS
  • Brief history of Hadoop

Hadoop installation in pseudo mode:

Hadoop installation in cluster mode

  • Adding and removing nodes (without down time)
  • Decommissioning nodes
  • Block size
  • Hadoop Processes ( NN, SNN, JT, DN, TT)
  • Common errors when running Hadoop cluster, solutions

HDFS- Hadoop distributed File System :

  • HDFS Design and Architecture
  • HDFS Concepts
  • Interacting HDFS using command line
  • Dataflow
  • Introduction about Blocks
  • Data Replication
  • Admin Commands
  • Hadoop archives
  • Hadoop Processes :

    • Name node and its functionality
    • Secondary name node and its functionality
    • Job tracker and its functionality
    • Task tracker and its functionality
    • Data node and its functionality
    • Resource manager and its functionality Hadoop
    • Node manager and its functionality

    Map Reduce :

    • Developing Map Reduce Application
    • Phases in Map Reduce Framework
    • Map Reduce Input and Output Formats
    • Advanced Concepts
    • Combiner
    • HAR
    • Partitioner, sorting, shuffling
    • Different phases of MapReduce programs
    • Data localization
    • Different unstructured data processing examples
    • Image processing by using MapReduce

    Joining datasets in MapReduce jobs :

    • Map-side join
    • Reduce-Side join

    Hadoop Programming Languages :

    PIG

    • Introduction (Basics)
    • Installation and Configuration
    • Different datatypes
    • Interacting HDFS using PIG
    • Map Reduce Programs through PIG 6. PIG Commands
    • Execution mechanisms (grunt, script...)
    • Loading, Filtering, Grouping, joins….
    • Sample programs in PIG with Real time

    Hive :

    • Basics (Introduction)
    • Installation and Configurations
    • Datatypes and operators
    • HQL Commands
    • Interacting HDFS using Hive
    • MapReduce programs through Hive
    • Joins, groups, filter......
    • Sample Programs in hive with real-time
    • Join vs Map Join

    Impala :

    • Basics
    • Commands

    Sqoop :

    • Introduction to sqoop
    • Installations & Configurations
    • Sqoop commands
    • Connect to relational database using sqoop and downloading lakhs of records to Hadoop (in single minute)

    Flume :

    • Basics (Introduction)
    • Installation and Configurations

    NOSQL Databases Concepts :

    Hbase

    • Basics & Installations
    • commands
    • Interacting Hbase with HDF

    MongoDb :

    • Basics & Installations I
    • All queries for processing data

    OOZIE Introduction

    Zookeeper introduction

    Apache Spark :

    • Introduction
    • Installations and configurations
    • RDD , SC....
    • Scala Introduction
    • Interacting spark with HDFS
    • Programs in Spark through Scala

    Specialties :

    ETL tool (Data Warehousing BI Tools) :

    PDI

    • Introduction
    • Creating RDBMS database
    • Establishing Connection between PDI to RDMS database
    • Creating data in Hadoop
    • Establishing Connection between PDI to Hadoop data
    • Moving data from Hadoop to RDBMS and vice versa
    • Summarization

    Highlights

    • Working with Apache & cloudera Hadoop
    • Practical's on Hadoop cluster
    • Real life use cases
    • Will cover old version of Hadoop and latest version of Hadoop

    Student Splash(advantages):

    • 3 classes for free.
    • Your complete resume will be prepared by us
    • Faq’s will be given which makes you to crack any interview
    • World class infrastructure class rooms.
    • Huge digital display for all the class rooms.
    • Latest study material and books(soft copy)
    • 100% placement assistance.
    • All 365 days our institute will be opened for any time clarifications
DataBytes – Best Big Data & Hadoop Training Institute in Bangalore with Placement Assistance
Best institute to do Hadoop course, I’m very happy with DataBytes. Trainer explains everything very well. Thanks DataBytes
DataBytes BTM Bangalore Reviews
5 / 5 stars

Corporate Training

Software Testing (QTP / Selinium)

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SWIFT / IOS

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Informatic, ETL, Hadoop

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WebSphere, PHP, Angular JS

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Java, Adv Java, .NET, LINUX Admin

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Tableau / Qlikview

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AutoCAD, REVIT

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SQL /PL SQL / DB2

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Website Development

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