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iClass Training in Visakhapatnam India

Hadoop Training Visakhapatnam Benefits

  • Real Time Trainers
  • 100% Placement
  • Small Training Batch
  • Flexible Timings
  • Practical Guidance
  • Excellent Lab Facility
  • Hadoop Resume Preparation
  • Hands on Experience
  • apache hadoop Certification Support

 

apache hadoop Training Support

Enquiry : +91 9672234513

Enquiry : +91 9672234514

 

Hadoop training Visakhapatnam Reviews

Hadoop training Visakhapatnam
Reviewed by
Kantilal
on
Theres no doubt, in Visakhapatnam City is one of the best institute in Visakhapatnam, Maha sir guided me in the best way possible. Study sas has a well-defined curriculum and they provide enough exposure in a coherent way.

Rating:
4/5 4 Star Rating: Very Good

Hadoop training Visakhapatnam
Reviewed by
Pathin
on
Hi myself Pathin from Visakhapatnam. I done Value Analysis course training from here. Institute all persons are so helpful and they made a smooth road for me . Now I am working in a company in bangalore.

Rating:
5/5 5 Star Rating: Excellent

Hadoop training Visakhapatnam
Reviewed by
Devanand
on
I was looking for Oracle Placement near Visakhapatnam where I belongs to. I went and enquare many institutes in and around Visakhapatnam, but none of them were up to my expectation. Most of them had either quoted higher price or had faculties with only this center

Rating:
5/5 5 Star Rating: Excellent

Hadoop training Visakhapatnam
Reviewed by
Samanmitha
on
in Visakhapatnam City is one of the best institutes in Visakhapatnam. I joined here for Oracle 12c DBA Course training. Faculties are nice and helpful. I learnt lot of things from here and also got a job. Thanks for help me.

Rating:
4/5 4 Star Rating: Very Good

Hadoop training Visakhapatnam
Reviewed by
Shrikar
on
I have been using for learning different topics from JSP and Servlet. I am very happy with the training and help they are providing the institute is in Visakhapatnam City from Visakhapatnam.

Rating:
4/5 4 Star Rating: Very Good

Hadoop training Visakhapatnam
Reviewed by
Sahima
on
I have always received good service in learning Oracle application from . Timing and quality have always met my expectations and everything is communicated in a professional and timely manner. The institute is residing in Visakhapatnam City in Visakhapatnam .

Rating:
4/5 4 Star Rating: Very Good

Best Hadoop training institute in visakhapatnam

Hadoop Training in Visakhapatnam & Best Hadoop Bigdata Administration Training Institute in Visakhapatnam

4 Star Rating: Very Good 4.3 out of 5 based on 3883 student ratings.

iClass Visakhapatnam provides real-time and placement focused apache hadoop training in visakhapatnam . Our hadoop administration course includes basic to advanced level and our apache hadoop course is designed to get the placement in good MNC companies in visakhapatnam as quickly as once you complete the big data hadoopv certification training course. Our apache hadoop trainers are hadoop administration certified experts and 5 years experienced working professionals with hands on real time multiple Hadoop projects knowledge. We have designed our apache hadoop course content and syllabus based on students requirement to achieve everyone's career goal.

iClass Visakhapatnam offers apache hadoop training with choice of multiple training locations across visakhapatnam. Our hadoop administration training centers are equipped with lab facilities and excellent infrastructure. We also provide hadoop administration certification training path for our students in visakhapatnam. Through our associated apache hadoop training centers, we have trained more than 3919 apache hadoop students and Placement provided for 2954 students. Our hadoop administration course fee is value for money and tailor-made course fee based on the each student's training requirements. apache hadoop training in visakhapatnam conducted on day time classes, weekend training classes, evening batch classes and fast track training classes.

Hadoop training course content and Syllabus in Visakhapatnam

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

Hadoop training duration in Visakhapatnam

Regular Classes( Morning, Day time & Evening)

  • Duration : 7 weeks

Weekend Training Classes( Saturday, Sunday & Holidays)

  • Duration : 8 Weeks

Fast Track Training Program( 5+ hours classes daily)

  • Duration : within 5 weeks

Hadoop trainer Profile & Placement

Our Hadoop Trainers

  • More than 5 Years of experience in Hadoop Technologies
  • Has worked on 7 realtime Hadoop projects
  • Working in a MNC company in Visakhapatnam
  • Trained 3919+ Students so far.
  • Strong Theoretical & Practical Knowledge
  • Hadoop certified Professionals

Hadoop (hadoop administration) Placement Training in Visakhapatnam

  • More than 3919+ students Trained
  • 2954 students Placed
  • 1874 Interviews Organized
  • Placement Supported by InterviewDesk.com

Hadoop training Locations in Visakhapatnam

Our Hadoop Bigdata Administration Training centers

  • Dwaraka Nagar
  • Seethammadara
  • Pendurthi
  • Akkayyapalem
  • Kancharapalem
  • ĘShanti Nagar
  • ĘSeethamapeta

Hadoop training batch size (students per class) in Visakhapatnam

Regular Batch ( Morning, Day time & Evening)

  • Seats Available : 6 (maximum)

Weekend Training Batch( Saturday, Sunday & Holidays)

  • Seats Available : 9 (maximum)

Fast Track batch

  • Seats Available : 5 (maximum)

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