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Best Hadoop Admin Training in Bangalore

TecMax is one of the leading Hadoop Admin Training Institute in Bangalore. Certified experts at TecMax are real-time consultants at multinational companies and have more than 5+ years of experience in Hadoop Admin Training. Our Trainers have conducted more than 200 classes and have extensive experience in teaching Hadoop Admin in most simple manner for the benefit of sudents.

We have advanced lab facilities for students to practice Hadoop Admin course and get hands-on experience in every topics that are covered under Hadoop Admin Training. In the presence of Hadoop Admin Trainer, students can execute all the techniques that has been explained by the instructor. Course Material for Hadoop Admin is specifically designed to cover all the advanced topics and each of the module will have both theory and practical classes. Hadoop Admin Batch Timings at TecMax are flexible and students can choose to join the batch as per their requirements. We have a batch starting every week for Hadoop Admin for regular students. Weekend batches and fast track batches for Hadoop Admin training can be arranged based on the requirement.

All our students will get placement assistance in Hadoop Admin after successfully completing the Hadoop Admin training from our institute. We are committed to provide high-quality training and provide assistance to get you the right job.

Hadoop Admin Course Content

Hadoop Course Content

Hadoop Overview, Architecture Considerations, Infrastructure, Platforms and Automation

Use case walkthrough

ETL

Log Analytics

Real-Time Analytics

Hbase for Developers

NoSQL Introduction

Traditional RDBMS approach

NoSQL introduction

Hadoop & Hbase positioning

Hbase Introduction

What it is, what it is not, its history and common use-cases

HBase Client ÃƒÂ¢Ã¢â€šÂ¬Ã¢â‚¬Å“ Shell, exercise

HBase Architecture

Building Components

Storage, B+ tree, Log Structured Merge Trees

Region Lifecycle

Read/Write Path

HBase Schema Design

Introduction to HBase schema

Column Family, Rows, Cells, Cell timestamp

Deletes

Exercise – build a schema, load data, query data

HBase Java API Exercises

Connection

CRUD API

Scan API

Filters

Counters

HBase MapReduce

HBase Bulk load

HBase Operations, cluster management

Performance Tuning

Advanced Features

Exercise

Recap and Q&A

MapReduce for Developers

Introduction

Traditional Systems / Why Big Data / Why Hadoop

Hadoop Basic Concepts/Fundamentals

Hadoop in the Enterprise

Where Hadoop Fits in the Enterprise

Review Use Cases

Architecture

Hadoop Architecture & Building Blocks

HDFS and MapReduce

Hadoop CLI

Walkthrough

Exercise

MapReduce Programming

Fundamentals

Anatomy of MapReduce Job Run

Job Monitoring, Scheduling

Sample Code Walk Through

Hadoop API Walk Through

Exercise

MapReduce Formats

Input Formats, Exercise

Output Formats, Exercise

Hadoop File Formats

MapReduce Design Considerations

MapReduce Algorithms

Walkthrough of 2-3 Algorithms

MapReduce Features

Counters, Exercise

Map Side Join, Exercise

Reduce Side Join, Exercise

Sorting, Exercise

Use Case A (Long Exercise)

Input Formats, Exercise

Output Formats, Exercise

MapReduce Testing

Hadoop Ecosystem

Oozie

Flume

Sqoop

Exercise 1 (Sqoop)

Streaming API

Exercise 2 (Streaming API)

Hcatalog

Zookeeper

HBase Introduction

Introduction

HBase Architecture

MapReduce Performance Tuning
Development Best Practice and Debugging

Apache Hadoop for Administrators

Hadoop Fundamentals and Architecture

Why Hadoop, Hadoop Basics and Hadoop Architecture

HDFS and Map Reduce

Hadoop Ecosystems Overview

Hive

Hbase

ZooKeeper

Pig

Mahout

Flume

Sqoop

Oozie

Hardware and Software requirements

Hardware, Operating System and Other Software

Management Console

Deploy Hadoop ecosystem services

Hive

ZooKeeper

HBase

Administration

Pig

Mahout

Mysql

Setup Security

Enable Security Configure Users, Groups, Secure HDFS, MapReduce, HBase and Hive

Configuring User and Groups

Configuring Secure HDFS

Configuring Secure MapReduce

Configuring Secure HBase and Hive

Manage and Monitor your cluster
Command Line Interface
Troubleshooting your cluster

Introduction to Big Data and Hadoop

Hadoop Overview

Why Hadoop

Hadoop Basic Concepts

Hadoop Ecosystem MapReduce, Hadoop Streaming, Hive, Pig, Flume, Sqoop, HBase, Oozie, Mahout

Where Hadoop fits in the Enterprise

Review use cases

Apache Hive & Pig for Developers

Overview of Hadoop

Big Data and the Distributed File System

MapReduce

Hive Introduction

Why Hive?

Compare vs SQL

Use Cases

Hive Architecture Building Blocks

Hive CLI and Language (Exercise)

HDFS Shell

Hive CLI

Data Types

Hive Cheat-Sheet

Data Definition Statements

Data Manipulation Statements

Select, Views, GroupBy, SortBy/DistributeBy/ClusterBy/OrderBy, Joins

Built-in Functions

Union, Sub Queries, Sampling, Explain

Hive Usecase implementation – (Exercise)

Use Case 1

Use Case 2

Best Practices

Advance Features

Transform and Map-Reduce Scripts

Custom UDF

UDTF

SerDe

Recap and Q&A

Pig Introduction

Position Pig in Hadoop ecosystem

Why Pig and not MapReduce

Simple example (slides) comparing Pig and MapReduce

Who is using Pig now and what are the main use cases

Pig Architecture

Discuss high-level components of Pig

Pig Grunt – How to Start and Use

Pig Latin Programming

Data Types

Cheat sheet

Schema

Expressions

Commands and Exercise

Load, Store, Dump, Relational Operations, Foreach, Filter, Group, Order By, Distinct, Join, Cogroup, Union, Cross, Limit, Sample, Parallel

Use Cases (working exercise)

Use Case 1

Use Case 2

Use Case 3 (compare pig and hive)

Advanced Features, UDFs

Best Practices and common pitfalls

Mahout & Machine Learning

Mahout Overview

Mahout Installation

Introduction to the Math Library

Vector implementation and Operations (Hands-on exercise)

Matrix Implementation and Operations (Hands-on exercise)

Anatomy of a Machine Learning Application

Classification

Introduction to Classification

Classification Workflow

Feature Extraction

Classification Techniques (Hands-on exercise)

Evaluation (Hands-on exercise)

Clustering

Use Cases

Clustering algorithms in Mahout

K-means clustering (Hands-on exercise)

Canopy clustering (Hands-on exercise)

Clustering

Mixture Models

Probabilistic Clustering Dirichlet (Hands-on exercise)

Latent Dirichlet Model (Hands-on exercise)

Evaluating and Improving Clustering quality (Hands-on exercise)

Distance Measures (Hands-on exercise)

Recommendation Systems

Overview of Recommendation Systems

Use cases

Types of Recommendation Systems

Collaborative Filtering (Hands-on exercise)

Recommendation System Evaluation (Hands-on exercise)

Similarity Measures

Architecture of Recommendation Systems

Wrap Up

Have any Query ?

Hadoop Admin Reviews

Tecmax

Average rating:

5 reviews

Feb 11, 2020

by Raju yuva on Tecmax

This institute is a wonderful place to master the knowledge of Hadoop-admin. The advanced real-time training which is delivered here from the hands of expert training professional has helped me a lot in securing a wonderful opportunity as a IT expert in a well reputed company.....................

Feb 11, 2020

by Bhavna on Tecmax

Very auspicious place to learn new technologies..good placement opportunities..good teaching..best place for Freshers.. and best for hadoop-admin

Feb 11, 2020

by shivam on Tecmax

Tecmax institute is more on our practical knowledge which according to me is very essential. They have knowledgeable teachers who not only provide excellent guidance but also motivate us to do better. Moreover, they provide continuous support in placements which is impeccable. I have definitely made the right choice by joining this institute. Thank you For Managements...................................................

Feb 11, 2020

by ramakrishna on Tecmax

I am very new to programming. After basic training courses from My approach to learn programming has improved a lot. Best training environment to learn,good faculty. All topics covered with practicals which helps to understand the concepts well.Trainer is very friendly teach the topics until we are clear about it. Their unique training courses improve our learning skills and are easy to learn and understand. It is value for money

Feb 11, 2020

by Deeksha dubey on Tecmax

I had enrolled for hadoop admin Course in tecmax. Trainer is really professional in teaching. He is helpful and conducts practice classes even when it's not part of the curriculum. Over all is good experience. I highly recommend. I can suggest as best training institute in Bangalore Thanks to managements...................................