HADOOP - DEVELOPER

What is Big Data & Why Hadoop?
  • Big Data Characteristics,
  • Challenges with traditional system
Hadoop Overview
  • Introduction
  • What is Hadoop
  • Hadoop Use cases
  • Hadoop Ecosystem
  • Hadoop Architecture
Hadoop Distributed File Systems
  • Pseudo-Distributed Installation
  • Hadoop Cluster Configuration
  • Namenode Safemode
  • Secondary Namenode
  • Hadoop Filesystem Shell
  • Java API Introduction
  • Configuration
  • Reading Data
  • Writing Data
  • Browsing file system
  • Hands-On Exercise
Hadoop MapReduce
  • Introduce MapReduce framework
  • Setting up Eclipse Development Environment
  • Implement first MapReduce Job
  • Tool, ToolRunner and GenericOptionsParser
  • Running MapReduce Locally
  • Running MapReduce on Cluster
  • Packaging MapReduce Jobs
  • MapReduce CLASSPATH
  • Submitting Jobs
  • Logs and Web UI
  • MapReduce Theory
  • Types of Keys and Values
  • Input and Output Formats
  • Implement a Streaming Job
  • Contrast with Java Code
  • Create counts in Streaming application
  • Workflows Introduction
  • Decomposing Problems into MapReduce Workflow
  • Using JobControl class
  • Debugging and Unit Testing
  • Hands On Exercises
Advanced Mapreduce
  • Combiner
  • Partitioner
  • Counter
  • Compression
  • Zero Reducer
  • Sorting
  • Secondary Sort
  • Distributed Cache
  • Partitioning into multiple output files & Passing parameters to tasks
  • Hands On Exercises
PIG
  • Pig Overview
  • Execution Modes
  • Installation
  • Pig Latin Basics
  • Developing Pig Script: Most Occurred Start Letter
  • Resources
  • Joining data-sets
  • User Defined Functions (UDF)
  • Hands On Exercises
HIVE
  • Hive Overview and Concepts
  • Installation
  • Table Creation and Deletion
  • Loading Data into Hive
  • Partitioning
  • Bucketing
  • Joins
  • Hands On Exercises
Sqoop
  • Importing and Exporting data from using RDBMS
  • Hands On Exercises
HBASE
  • Overview
  • Data Model
  • Architecture
  • HBase Management Console
  • HBase Shell: Define Schema and Create, Read, Update and Delete
  • reate via Put method
  • Read via Get method
  • Update via Put method
  • Delete via Delete method
  • Create Table
  • Drop Table
  • Scan API
  • Scan Caching
  • Scan Batching
  • Filters
OOzie
  • Introduce Oozie
  • Oozie Installation
  • Write Oozie Workflow
  • Deploy and Run Oozie Workflow
Flume
  • Overview
  • Architecture
  • Flume properties
  • Flume sinks
  • Flume Channels
Zookeeper
  • Stand alone operation
  • Managing zookeeper storage
  • Programming to Zookeeper
Introduction to Cassandra Introduction to MongoDB Introduction to Impala CDH3 VS CDH4 Cluster Installation Introduction on AVRO

Free topics on:

Java Basics Unix commands SQL

Testimonials

Had very much interest to learn SAP MM training course, so I joined in this centre and paid fees of Rs.12,000 for 45 days duration. Their response was good and I'm highly satisfied with their coaching.

Mr. Deepak

I joined this institute for SAP FICO Training. The trainers are friendly and are clearing all our doubts. I paid Rs11000 for this 3 months course fees. I'm gratified with their service.

Shaikh Imran

In this institution only I had joined HADOOP course, I paid fees of Rs.12,000 for one month duration and they provided study materials also. I preferred daily morning batches and I'm satisfied with their coaching.

Shilpa

I am glad with this institution who offered me fine classes for SAP CRM with the reasonable fees of Rs15000, the duration of class is 2 months, Thanks for the tutors who provided me valuable classes.

Anil Kolla

It's an excellent training with real time experience faculty by mr.shiva sir having 11years of experience. Hadoop is up coming big data related tool database maintenance. i think this gona work out for every developer.....PRIMARK INFOTECH providing this big data concept "hadoop" with good training classes.

Vardhan

I was looking for training institute to get trained in SAP BO and had joined in this institute. Their coaching and training is good and the fee is nominal, even the class timings are convenient.

Suseela
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    Lab : 7AM TO 8PM
    Online Access : 2 Months