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Hadoop Training Hyderabad 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 8099902902

Enquiry : +91 8099620260

 

Hadoop training Hyderabad Reviews

Hadoop training Hyderabad
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Parnashri
on
I did QlikView business discovery course in iClass Training Hyderabad in Hyderabad, which is located in A S Rao Nagar. Learning in this institutes was a very good experience for me. Tutors are very good. They taught us every point clearly. Thanks for the support.

Rating:
5/5 5 Star Rating: Excellent

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on
In entire Hyderabad,this is the best amazon web services certification course training institute.

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Joined for my WebSphere certification training in Hyderabad.iClass Training Hyderabad in Begumpet provides Very Systematic, easy and professional training. Your hard work and dedication shows. For me it was a very good training experience.

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Harshavardhan
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iClass Training Hyderabad is providing SAP HANA certification training and placement assistance and I was placed immediately once I completed the SAP HANA certification course training. Thanks Harshavardhan from Hyderabad.

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Hadoop training Hyderabad
Reviewed by
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Excellent coaching centre to do SAP EHS Course in Hyderabad!I am amazed at the level of dedication brings to the training schedule! Nothing can express the enormous satisfaction in choosing iClass Training Hyderabad for my SAP EHS Training in Masab Tank! Great trainers and very nice training atmosphere.

Rating:
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Hadoop Training in our Branches

Best Hadoop training institute in hyderabad

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

4 Star Rating: Very Good 4.0 out of 5 based on 750 student ratings.

iClass Hyderabad provides real-time and placement focused apache hadoop training in hyderabad . 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 hyderabad 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 Hyderabad offers apache hadoop training with choice of multiple training locations across hyderabad. 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 hyderabad. Through our associated apache hadoop training centers, we have trained more than 799 apache hadoop students and Placement provided for 561 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 hyderabad conducted on day time classes, weekend training classes, evening batch classes and fast track training classes.

Hadoop training course content and Syllabus in Hyderabad

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 Hyderabad

Regular Classes( Morning, Day time & Evening)

  • Duration : 4 weeks

Weekend Training Classes( Saturday, Sunday & Holidays)

  • Duration : 7 Weeks

Fast Track Training Program( 4+ hours classes daily)

  • Duration : within 4 weeks

Hadoop trainer Profile & Placement

Our Hadoop Trainers

  • More than 5 Years of experience in Hadoop Technologies
  • Has worked on 5 realtime Hadoop projects
  • Working in a MNC company in Hyderabad
  • Trained 799+ Students so far.
  • Strong Theoretical & Practical Knowledge
  • Hadoop certified Professionals

Hadoop (hadoop administration) Placement Training in Hyderabad

  • More than 799+ students Trained
  • 561 students Placed
  • 292 Interviews Organized
  • Placement Supported by InterviewDesk.com

Hadoop training Locations in Hyderabad

Our Hadoop Bigdata Administration Training centers

  • Abids
  • Ameerpet
  • Banjara Hills
  • Begumpet
  • Bowinpally
  • Chanda Nagar
  • Dilsukh Nagar
  • Himayath Nagar
  • Humayun Nagar
  • Hyderabad Others
  • Jubilee Hills
  • K P H B
  • Khairatabad
  • Kukatpally
  • Lallaguda
  • Madhapur
  • Malakpet
  • Malkajgiri
  • Mehdipatnam
  • Musheerabad
  • Nallakunta
  • P & T Colony
  • Panjagutta
  • S R Nagar
  • Sanjeev Reddy Nagar
  • Secunderabad
  • Somajiguda
  • Srinagar Colony
  • Tarnaka
  • Uppal
  • Vanasthalipuram

Hadoop training batch size (students per class) in Hyderabad

Regular Batch ( Morning, Day time & Evening)

  • Seats Available : 7 (maximum)

Weekend Training Batch( Saturday, Sunday & Holidays)

  • Seats Available : 10 (maximum)

Fast Track batch

  • Seats Available : 5 (maximum)

Upcmoing apache hadoop Training Classes in Hyderabad

    Below are start date of hadoop training classes in Hyderabad 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 8099902902 anytime.

    Start DateCourse TimingsSeats & AvailabilityRegistration Status
    19-Jan-201910.00 AM till 4.00 PM (Sat & Sunday Only)
    Weekend Class    		Total :4
    Available: 1    		Booking Open
    22-Jan-20199.00 AM till 12.00 PM
    Fasttrack Class    		Total :5
    Available: 2    		Booking Open
    27-Jan-201910.00 AM till 4.00 PM (Sat & Sunday Only)
    Weekend Class    		Total :4
    Available: 3    		Booking Open
    02-Feb-201910.00 AM till 4.00 PM (Sat & Sunday Only)
    Weekend Class    		Total :4
    Available: 3    		Booking Open
    08-Feb-20197.30 AM till 9.00 AM
    Morning Class    		Total :7
    Available: 6    		Booking Open
    11-Feb-20192.00 PM till 5.00 PM
    Regular Class    		Total :7
    Available: 5    		Booking Open

    Hadoop related training courses

    Latest Training Requests from Hyderabad

    30-11-2018 : My expectations are perfect in Hadoop programming and get a good job . - by Harsha Akshintala from Kondapur

    21-11-2018 : Can i know fee details regarding hadoop course and near by location - by muzaffar from Santhosh Nagar

    20-11-2018 : Couse details needed for Hadoop Admin - by Hari Krishna from Ameerpet

    22-10-2018 : I want to learn from the basic level Couse details needed for Hadoop Admin - by Saikumar from Ameerpet

    08-10-2018 : I am B.com MBA graduate. Working as Research Analyst. What qualifications are needed for Hadoop Admin. What is training fees. Is placement guaranteed..what is the training period.what are the training timings. Couse details needed for Hadoop Admin - by Ramya Keerthi from Dilsukh Nagar

    26-09-2018 : . Couse details needed for Hadoop Admin - by Syed Omar Syed Jaafar from Mehdipatnam

    05-09-2018 : Working with real time project & with day to day activities Couse details needed for Hadoop Admin - by Mamatha from Kukatpally

    01-09-2018 : hadop admin Couse details needed for Hadoop Admin - by srikanta from Ameerpet

    23-08-2018 : Hadoop admin - by KOTIREDDY from Hafeezpet

    14-08-2018 : Good handson Couse details needed for Hadoop Admin - by Natarajan Gannamani from Kukatpally

Training in Hyderabad

Training Institutes Hyderabad

Training Centers Hyderabad

iClass - Hyderabad Network

  • iClass Hyderabad
  • Hitech City Road, Madhapur, Hyderabad, India.
  • Enquiry : +91 8099902902
  • Placement: +91 8099620260
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