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Hadoop at Kelly Technologies Institute

₹ 18,750   ( ₹ 25,000  | 25% Off)
# 164, 1st Floor, Marthahalli Main road, ,
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What is this course about?

Hadoop training in Bangalore providing professional course in Hadoop Technology. The growing, data vows cannot be met by conventional technologies and need some really organized and automated technology. Big data and Hadoop are the two kinds of the promising technologies that can analyze, curate, and manage the data. The course on Hadoop and Big data is to provide enhanced knowledge and technical skills needed to become an efficient developer in Hadoop technology. Along with learning, there is virtual implementation using the core concepts of the subject upon live industry based applications. With the simple programming modules, large clusters of data can be managed into simpler versions for ease of accessibility and management. Kelly technologies has the best expertise to handle the Hadoop training in Bangalore.


Who should go for this course?

Kelly technologies the only Hadoop training Institute in Bangalore with great expertise in Hadoop. Being one of the fastest growing technologies in the business industry, Hadoop is the big essential technology to stand tall in the rapidly growing competitors in the market. Many IT industry aspirants are looking for online course by any Hadoop training Institute in Bangalore. Many business experts analyze that, 2015 will be the Emerging year for Hadoop. Following industry professionals must be well in verse in this course:

  • Analytics Professionals
  • For BI /ETL/DW Professionals
  • Project Managers of IT Firms
  • Software Testing Professionals
  • Mainframe Professionals
  • Software Developers
  • Aspirants of Big Data Services
  • System Administrators
  • Graduates
  • Data Warehousing Professionals
  • Business Intelligence Professionals

Why learn Big Data and Hadoop?

In all aspects, Hadoop is an essential element for companies handling with lots of information. Hadoop business experts predict that, 2015 will be the year where both the companies and professionals start to bank upon to rush for organizational scope and career opportunities. With the data exploding caused due to immense digitalization, big data and Hadoop are promising software that allow data management in smarter ways.

What are the pre-requisites for this Course?

To learn Hadoop in any of the Hadoop training Institutes in Bangalore, it is needed to have sound knowledge in Core Java concepts, which is a must to understand the foundations about Hadoop. Anyhow, Essential concepts in Java will be provided by us to get into the actual concepts of Hadoop. As foundation of Java is very much important for effective learning of Hadoop technologies. Having good idea about Pig programming will make Hadoop run easier. Also Hive can be useful in performing Data warehousing. Basic knowledge on Unix Commands also needed for day-to-day execution of the software.

How will I execute the Practicals?

The practical experience here at Kelly technologies will be worth and different than that of other Hadoop training Institutes in Bangalore. Practical knowledge of Hadoop can be experienced through our virtual software of Hadoop get installed in your machine. As, the software needs minimum system requirements, with the virtual class room set up learning will be easier. Either with your system or with our remote training sessions you can execute the practical sessions of Hadoop.

In this course, the participants will learn:

  • HDFS and MapReduce Framework
  • Architecture of Hadoop 2.x
  • To write Complex MapReduce Programs and Set Up Hadoop Cluster
  • Making Data Analytics by using Pig, Hive and Yarn
  • Sqoop and Flume for learning Data Loading Techniques
  • Implementation of integration by HBase and MapReduce
  • To implement Indexing and Advanced Usage
  • To Schedule jobs with the use of Oozie application
  • To implement best practices for Hadoop Development Program
  • Working on Real Life Projects basing on Big Data Analytics

Module 1: Introduction to Hadoop

Topics covered on introduction to Hadoop
  • What is Hadoop and its usecases (Demo)

Module 2: HDFS and its architecture

Topics covered on HDFS and its architecture
  • NameNode and its functionality
  • DataNode and its functionality
  • HDFS user commands and admin commands

Module 3: MapReduce architecture

Topics covered on MapReduce architecture
  • JobTracker and its functionality
  • TaskTrack and its functionality
  • Job execution flow

Module 4: MapReduce Programming Model

Topics covered on MapReduce Programming Model
  • How to write basic MR job and running in Local
  • Input formatters and its associated Record Readers
    • Text Input Formatter
    • KeyValue Input Formatter
    • Sequence File Input Format
    • How to write custom Input Formatters and its Record Readers
  • Output formatters and its associated Record Writers
    • Text Output Formatter
    • Sequence File Output Formatter
    • How to write custom Output Formatters and its Record Writers
  • Combiner
  • Partitioner
  • Secondary Sorting
  • Writable and Writable Comparables
  • Compression techniques
    • Snappy
    • LZO
    • Zip
  • Schedulers
    • FIFO, Capacity and Fair
  • Distributed Cache
  • How to debug MapReduce Jobs in Local and Pseudo cluster Mode
  • Unit Testing MR Jobs
  • How to Identify Performance Bottlenecks in MR jobs and tuning MR jobs
  • Introduction to MapReduce Streaming and Pipes
  • Introduction to YARN (Next Generation MapReduce).

Module 5: HBase

Topics covered on HBase
  • Hbase introduction
  • Hbase usecases
  • Hbase basics
    • Column families
    • Scans
  • Hbase standalone and distributed mode installations
  • Hbase Architecture
    • Storage
    • Write-Ahead Log
    • Log –Structured Merge-Trees
  • Mapreduce integration
  • Mapreduce over Hbase Usage
    • Key design
    • Bloom Filters
    • Versioning
    • Coprocessors
    • Filters
  • Clients
    • REST
    • Thrift
    • Hive
    • Web Based UI
  • Hbase Admin
    • Schema definition
    • Basic CRUD operations

Module 6: Hive

Topics covered on Hive
  • Hive Introduction
  • Hive architecture
    • Driver
    • Compiler
    • Semantic Analyzer
  • HQL
  • Integration with Hadoop
  • Hive installation
  • Starting CLI and Thrift mode
  • Usage

Module 7: PIG

Topics covered on PIG
  • Apache PIG introduction1
  • PIG set up
  • PIG hands on
  • PIG UDF’s
  • Excercises

Module 9: SQOOP

Module 8: FLUME

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hadoop kellyTechnologies bangalore traininghadoop kellyTechno big data bangalore
Price: ₹ 18,750
Start-End Dates: 15 Oct 16 - 14 Nov 16
Course Duration: 90 days
Discount: 25%
Instructional Level: Appropriate for All
Live Projects
Doubt Clearing Sessions
Reading Material
EMI Option
Online Support
Post completion course access
Practice Exams
Placement assistance
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080-6012 6789
+91 784 800 6789
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