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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
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 – 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
Exercise – build a schema, load data, query data
HBase Java API Exercises
Scan API
HBase MapReduce
HBase Bulk load
HBase Operations, cluster management
Performance Tuning
Advanced Features
Recap and Q&A

MapReduce for Developers

Traditional Systems / Why Big Data / Why Hadoop
Hadoop Basic Concepts/Fundamentals
Hadoop in the Enterprise
Where Hadoop Fits in the Enterprise
Review Use Cases
Hadoop Architecture & Building Blocks
HDFS and MapReduce
Hadoop CLI
MapReduce Programming
Anatomy of MapReduce Job Run
Job Monitoring, Scheduling
Sample Code Walk Through
Hadoop API Walk Through
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
Exercise 1 (Sqoop)
Streaming API
Exercise 2 (Streaming API)
HBase 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
Hardware and Software requirements
Hardware, Operating System and Other Software
Management Console
Deploy Hadoop ecosystem services
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
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
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
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
Introduction to Classification
Classification Workflow
Feature Extraction
Classification Techniques (Hands-on exercise)
Evaluation (Hands-on exercise)
Use Cases
Clustering algorithms in Mahout
K-means clustering (Hands-on exercise)
Canopy clustering (Hands-on exercise)
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


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    Hadoop Admin Reviews

    Average rating:  
     5 reviews
    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.....................

    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

    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...................................................

    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

    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...................................