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iClass Training in Vijayawada India

Hadoop Training Vijayawada 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 Vijayawada Reviews

Hadoop training Vijayawada
Reviewed by
Mahish
on
My trainer from in Sri Ramachandra Nagar is a wonderful person with in-depth knowledge of all the concepts of OKTA program. He has given absolute guidance with respect to program, exam preparation. Thanks for ,Vijayawada.

Rating:
4/5 4 Star Rating: Very Good

Hadoop training Vijayawada
Reviewed by
Balaraj
on
I found the entire process of finalizing from Veterinary Colony centre till the conclusion of the Oracle Application FrameWork training, a smooth going activity. The responsive approach, timely delivery,and interactive sessions make learning an enjoyable experience.Thanks for , Vijayawada.

Rating:
5/5 5 Star Rating: Excellent

Hadoop training Vijayawada
Reviewed by
Aamod
on
I considered many institutes in Vijayawada before joining this atavrarea centre for the Verilog course. Iam happy about my choice. it?ÛŠs very good learning experience for me till now.

Rating:
5/5 5 Star Rating: Excellent

Hadoop training Vijayawada
Reviewed by
Nishesh
on
Clear explanation on KVM Virtualization Certification in Enikepadu center focus is on conceptual knowledge. A hand on experience was really good. Appreciate the attention on individual queries. Thanks in Vijayawada.

Rating:
5/5 5 Star Rating: Excellent

Hadoop training Vijayawada
Reviewed by
Shamita
on
I joined for Apache Spark SQL training in Vijayawada.The Apache Spark SQL training was a good learning experience. Trainer was friendly and cleared the doubts with patience. New RTC Colony center trainers are working professionals so we get exposed to real time scenarios as well. Thanks for providing a wonderful training.

Rating:
5/5 5 Star Rating: Excellent

Hadoop training Vijayawada
Reviewed by
Indira
on
I did my automation testing from in Madhura Nagar centre. in Vijayawada has good faculty, offers flexible course timings & of course, the job placement assistance is good!

Rating:
4/5 4 Star Rating: Very Good

Best Hadoop training institute in vijayawada

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

4 Star Rating: Very Good 4.4 out of 5 based on 3363 student ratings.

iClass Vijayawada provides real-time and placement focused apache hadoop training in vijayawada . 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 vijayawada as quickly as once you complete the big data hadoopv certification training course. Our apache hadoop trainers are hadoop administration certified experts and 4 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 Vijayawada offers apache hadoop training with choice of multiple training locations across vijayawada. 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 vijayawada. Through our associated apache hadoop training centers, we have trained more than 3405 apache hadoop students and Placement provided for 2563 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 vijayawada conducted on day time classes, weekend training classes, evening batch classes and fast track training classes.

Hadoop training course content and Syllabus in Vijayawada

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 Vijayawada

Regular Classes( Morning, Day time & Evening)

  • Duration : 6 weeks

Weekend Training Classes( Saturday, Sunday & Holidays)

  • Duration : 9 Weeks

Fast Track Training Program( 6+ hours classes daily)

  • Duration : within 6 weeks

Hadoop trainer Profile & Placement

Our Hadoop Trainers

  • More than 4 Years of experience in Hadoop Technologies
  • Has worked on 7 realtime Hadoop projects
  • Working in a MNC company in Vijayawada
  • Trained 3405+ Students so far.
  • Strong Theoretical & Practical Knowledge
  • Hadoop certified Professionals

Hadoop (hadoop administration) Placement Training in Vijayawada

  • More than 3405+ students Trained
  • 2563 students Placed
  • 1678 Interviews Organized
  • Placement Supported by InterviewDesk.com

Hadoop training Locations in Vijayawada

Our Hadoop Bigdata Administration Training centers

  • Benz circle
  • Labbipet
  • Governorpet
  • Bhavanipuram
  • Seetharampuram
  • Chuttu Gunta
  • Krishnalanka
  • Ramavarapadu
  • Ashok Nagar
  • MR Puram

Hadoop training batch size (students per class) in Vijayawada

Regular Batch ( Morning, Day time & Evening)

  • Seats Available : 8 (maximum)

Weekend Training Batch( Saturday, Sunday & Holidays)

  • Seats Available : 12 (maximum)

Fast Track batch

  • Seats Available : 5 (maximum)

Upcmoing apache hadoop Training Classes in Vijayawada

    Below are start date of hadoop training classes in Vijayawada with course start date, class timings, morning / evening / weekend training sessions along with total seats and available seats. To rigister or enuqire, Just give a missed call to 9672234513 anytime.

    Start DateCourse TimingsSeats & AvailabilityRegistration Status
    08-Mar-20217.00 PM till 8.30 PM
    Evening Class
    Total :5
    Available: 5
    Booking Open

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