Hadoop Training in India

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Hadoop Training India - Course Overview

Apache Hadoop is an accumulation of open-source software utilities that make it easier to solve problems involving massive amounts of data and computing using a network of multiple computers. It offers an integrated framework for data storage and processing of large data using the MapReduce programming model.Hadoop was designed specifically for multiple computers built from commodity hardware, which would still be commonly used. Since then, use has also been found on higher-end hardware clusters. All components in Hadoop are engineered with the key principle that hardware failures are regular events and should be managed immediately by the framework.

HKR trainings is one of the most successful e-learning platforms that delivers comprehensive best hadoop training in India. This training benefits both the newbies and experienced learners as well. During the  training you will gain hands on experience with the four important components of hadoop namely developer, administrator, testing and analyst. By the endo fht etraining you will be more proficient and can easily attain the cloudera hadoop certification. During the training period, you will experience good support and real time project assistance. Get enrolled to make the best out of your hadoop certification training course in India.

Prerequisites

To apply for the Hadoop Training in India, you need to either:

  • To learn big data Analytics tools you need to know at least one programming language like Java, Python or R.
  • You must also have basic knowledge on databases like SQL to retrieve and manipulate data.
  • You need to have knowledge on basic statistics like progression, distribution, etc. and mathematical skills like linear algebra and calculus.

Hadoop Training in India Objectives

The Hadoop Training Certification offered in India was designed for professionals with and without work experience in any of the profiles below: 

  • Freshers / Officials who are very much excited to learn big data 
  • Who wants to seek their career as a hadoop administrator
  • Project managers,
  • Hadoop developers,
  • Data warehousing and Analytical professionals,
  • System administrators,

Well, there is no special requirement to take up the Hadoop training in India. The aspirants who wish to learn or build their career in data analytics can take up this course.

To commence your hadoop training course in Hyderabad, people therefore need to check with the perfect institute which really provides information. Before moving ahead with any training, accept advice from the professionals that have already experienced the course. We at HKR with a squad of industry experts, are ready to fulfil your future career in order to get a job in the company you want.

Hadoop Training India - Course Content

HKR trainings delivers the most curated hadoop course content in India with a team of qualified and professional experts in hadoop technology. One can have  quick access to the optimized hadoop course structure in handy.

1.1 Introduction to Big Data and Hadoop

1.2 Introduction to Big Data

1.3 Big Data Analytics

1.4 What is Big Data

1.5 Four Vs Of Big Data

1.6 Case Study Royal Bank of Scotland

1.7 Challenges of Traditional System

1.8 Distributed Systems

1.9 Introduction to Hadoop

1.10 Components of Hadoop Ecosystem 

1.11 Commercial Hadoop Distributions

2.1 Introduction to Hadoop Architecture Distributed Storage (HDFS) and YARN

2.2 What Is HDFS

2.3 Need for HDFS

2.4 Regular File System vs HDFS

2.5 Characteristics of HDFS

2.6 HDFS Architecture and Components

2.7 High Availability Cluster Implementations

2.8 HDFS Component File System Namespace

2.9 Data Block Split

2.10 Data Replication Topology

2.11 HDFS Command Line

2.12 YARN Introduction

2.13 YARN Use Case

2.14 YARN and Its Architecture

2.15 Resource Manager

2.16 How Resource Manager Operates

2.17 Application Master

2.18 How YARN Runs an Application

2.19 Tools for YARN Developers

3.1 Introduction to Data Ingestion into Big Data Systems and ETL

3.2 Overview of Data Ingestion

3.3 Apache Sqoop

3.4 Sqoop and Its Uses

3.5 Sqoop Processing

3.6 Sqoop Import Process

3.7 Sqoop Connectors

3.8 Apache Flume

3.9 Flume Model

3.10 Scalability in Flume

3.11 Components in Flume’s Architecture

3.12 Configuring Flume Components

3.13 Apache Kafka

3.14 Aggregating User Activity Using Kafka

3.15 Kafka Data Model

3.16 Partitions

3.17 Apache Kafka Architecture

3.18 Producer Side API Example

3.19 Consumer Side API

3.20 Consumer Side API Example

3.21 Kafka Connect

4.1 Introduction to Distributed Processing MapReduce Framework and Pig

4.2 Distributed Processing in MapReduce

4.3 Word Count Example

4.4 Map Execution Phases

4.5 Map Execution Distributed Two Node Environment

4.6 MapReduce Jobs

4.7 Hadoop MapReduce Job Work Interaction

4.8 Setting Up the Environment for MapReduce Development

4.9 Set of Classes

4.10 Creating a New Project

4.11 Advanced MapReduce

4.12 Data Types in Hadoop

4.13 OutputFormats in MapReduce

4.14 Using Distributed Cache

4.15 Joins in MapReduce

4.16 Replicated Join

4.17 Introduction to Pig

4.18 Components of Pig

4.19 Pig Data Model

4.20 Pig Interactive Modes

4.21 Pig Operations

4.22 Various Relations Performed by Developers

5.1 Introduction to Apache Hive

5.2 Hive SQL over Hadoop MapReduce

5.3 Hive Architecture

5.4 Interfaces to Run Hive Queries

5.5 Running Beeline from Command Line

5.6 Hive Metastore

5.7 Hive DDL and DML

5.8 Creating New Table

5.9 Data Types

5.10 Validation of Data

5.11 File Format Types

5.12 Data Serialization

5.13 Hive Table and Avro Schema

5.14 Hive Optimization Partitioning Bucketing and Sampling

5.15 Non-Partitioned Table

5.16 Data Insertion

5.17 Dynamic Partitioning in Hive

5.18 Bucketing

5.19 What Do Buckets Do

5.20 Hive Analytics UDF and UDAF

5.21 Other Functions of Hive

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Hadoop Training India Options

Live Online Training

  • Interactive sessions
  • Learn by doing
  • Instant doubt resolution
  • Expert's guidance
  • Industry-ready skills

Batch

Start Date

Time

Weekday

6-Dec - 5-Jan

09:30 AM IST

Weekend

10-Dec - 9-Jan

11:30 AM IST

Weekday

14-Dec - 13-Jan

01:30 PM IST

Ends in h : m : s

1:1 Live Online Training

  • Exclusive training
  • Flexible timing
  • Personalized curriculum
  • Hands-on sessions
  • Simplified Learning
Exclusive learning from industry experts

Self-Paced E-Learning

  • Skillup easily
  • Learn in no hurry
  • Less expensive
  • Unlimited access
  • Convenient
Hone your skills from anywhere at anytime
our instructor

Corporate Training

Training for Employees

HKR will help you learn anytime, anywhere with easily accessible online training. Experience immersive learning and equip your teams with the skills of tomorrow.

We deliver the right skills to the aspirant from day one that meets today's business requirements. It also helps to increase the productivity of the employee. So, joining HKR Trainings means becoming extremely productive to achieve goals in real-time.

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Hire Train Deploy

We at HKR Trainings provide the best IT Training skills on different technologies to the aspirants that meet the existing industry standards. Our training courses are up to date and make the aspirants job-ready with real-time working knowledge.

We deliver the right skills to the aspirant from day one that meets today's business requirements. It also helps to increase the productivity of the employee. So, joining HKR Trainings means becoming extremely productive to achieve goals in real-time.

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Hadoop Online Training in India - Projects

Hadoop Training in India FAQ's

Each and every class is recorded so if you missed any class you can review the recordings and clarify any doubts with the trainer in next class.

Yes, we don’t assure 100% placement assistance. We are tied up with some corporate companies so when they have a requirement we send your profiles to them.

Yes, we provide demo before starting any training in which you can clear all your doubts before starting training.

Our trainers are real time experts who are presently working on particular platform on which they are providing training.

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Max of the students get satisfied with our training, if you are not then we provide a specialised training in return.

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