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Hadoop Admin Training Institutes in Bangalore

Best Hadoop Admin Training in Bangalore

Hadoop Admin Training in Marathahalli & Best Hadoop Admin Training Institutes in Bangalore

Best Hadoop Admin training institute Ecare technologies in Marathahalli, Bangalore, provides real-time and placement oriented Hadoop Admin training in Bangalore. Ecare technologies provide the Best Hadoop Admin training courses in Bangalore. Ecare Hadoop Admin training course content is designed from basics to advanced levels. We have a team of Hadoop Admin experts who are working professionals with hands-on real-time Hadoop Admin projects knowledge, which will give students an edge over other Training Institutes. Hadoop Admin training course content is designed to get the placement in major MNC companies in Bangalore as soon as you complete the Hadoop Admin training course.

Best Hadoop Admin training institute in Bangalore focuses on the needs of the Hadoop Admin community. Ecare technologies listed one of the top Hadoop Admin training institutes in Bangalore. We offer Hadoop Admin education for working professionals. Hadoop Admin training in Bangalore understands the need of Hadoop Admin community. We offer all Hadoop Admin training courses as students option. Ecare technologies provide free Hadoop Admin training materials of soft copy and hard copy. Discover best Hadoop Admin training in Bangalore at Ecare technologies.
Our Hadoop Admin training courses help to students to get placement immediately after course completion. Our practical, real-time Hadoop Admin project scenarios training helps to work on Hadoop Admin projects. Our Hadoop Admin training program helps every student to achieve their goal in Hadoop Admin career.

Best Training Institute, Ecare technologies, Marathahalli, Bangalore offers training with choice of multiple training locations across Bangalore. Ecare technologies Hadoop Admin training centers are having Best lab facilities and excellent infrastructure. We have successfully trained and provided placement for many of our Trained Hadoop Admin students, Hadoop Admin training course fee is very economical compared to other Training Institutes In Bangalore.

Hadoop Admin Training In Bangalore, Ecare technologies provide regular training classes, Morning Batches, Evening Batches, weekend training classes and fast-track training classes for Hadoop Admin. Ecaretechnologies provides online and Corporate training classes for Hadoop Admin.


Hadoop Admin Training Syllabus in Bangalore

Hadoop training course content and Syllabus in Bangalore
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 – 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


Popular Interview Questions for Hadoop Admin Training

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Hadoop Admin Training trainer Profile & Placement

  • More than 10 Years of experience in Hadoop Admin Training
  • Has worked on multiple realtime Hadoop Admin Training
  • Working in a top MNC company in Bangalore
  • Trained 2000+ Students so far in Hadoop Admin Training.
  • Strong Theoretical & Practical Knowledge
  • Certified Professionals

Hadoop Admin Training Placement in Bangalore

  • More than 2000+ students Trained in Hadoop Admin Training
  • 92% percent Placement Record
  • 1000+ Interviews Organized

Hadoop Admin Training batch size in Bangalore


Regular Batch ( Morning, Day time & Evening)

  • Seats Available : 8 (maximum)

Hadoop Admin Training Weekend Training Batch( Saturday, Sunday & Holidays)

  • Seats Available : 8 (maximum)

Hadoop Admin Training Fast Track batch

  • Seats Available : 5 (maximum)

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Hadoop Admin Training Reviews

Hadoop Admin Training in Bangalore - Marathahalli
Ecare Technologies

4.9 out of 5
based on 6284 ratings.

Good


Mr Abudhali


I learned Hadoop Training here.Training was simply awesome


Rupali


Enrolling for the Big Data course at Ecare technologies has been a very good choice as the institute has provided an extensive and in-depth knowledge on the topic. The classes and the study materials have been very helpful in understanding Hadoop in a better way. Our instructor was truly the best at delivering the Hadoop knowledge his way. He always ensured that all our queries are answered and no student be left with a single doubt, Special mention  for all the support and guidance and for always being available. finally i got a job job in Top Mnc Thank You, Ecare team


Soumya


Good


Bettappa


I joined Hadoop course here. Training was excellent. Trainer was very helpful.


Dheeraj


Average


Ms Durga


good


Mr Kalra


very good


Mr Somashekar