Book Online Tickets for Big Data and Hadoop Development Training, Pune.  
Big Data and Hadoop Development Training in Pune
Course Overview:
Companies around the world today find it increasing

Big Data and Hadoop Development Training in Pune


  • Regular Registration

    Sale Date Ended

    INR 19499
    Sold Out
  • Early Bird Registartion

    Sale Date Ended

    INR 12999
    Sold Out

Invite friends

Contact Us

Page Views : 251

About The Event


Big Data and Hadoop Development Training in Pune


Course Overview:


Companies around the world today find it increasingly difficult to organize and manage large volumes of data. Hadoop has emerged as the most efficient data platform for companies working with big data, and is an integral part of storing, handling and retrieving enormous amounts of data in a variety of applications. Hadoop helps to run deep analytics which cannot be effectively handled by a database engine.

Big enterprises around the world have found Hadoop to be a game changer in their Big Data management, and as more companies embrace this powerful technology the demand for Hadoop Developers is also growing. By learning how to harness the power of Hadoop 2.0 to manipulate, analyse and perform computations on Big Data, you will be paving the way for an enriching and financially rewarding career as an expert Hadoop developer.
Our three day course in Hadoop 2.0 Developer training will teach you the technical aspects of Apache Hadoop, and you will obtain a deeper understanding of the power of Hadoop. Our experienced trainers will handhold you through the development of applications and analyses of Big Data, and you will be able to comprehend the key concepts required to create robust big data processing applications. Successful candidates will earn the credential of Hadoop Professional, and will be capable of handling and analysing Terabyte scale of data successfully using MapReduce.
Course Agenda:
Phase 1: Hadoop 2.0 Fundamentals (12 Hours)
Big Data
  •  What is Big Data
  •  Dimensions of Big Data
  •  Big Data in Advertising
  •  Big Data in Banking
  •  Big Data in Telecom
  •  Big Data in eCommerce
  •  Big Data in Healthcare
  •  Big Data in Defense
  •  Processing options of Big Data
  •  Hadoop as an option
  •  What is Hadoop
  •  How Hadoop 1.0 Works
  •  How Hadoop 2.0 Works
  •  HDFS
  •  MapReduce
  •  What is YARN
  •  How YARN Works
  •  Advantages of YARN
  •  How Hadoop has an edge
Hadoop Ecosystem
  • Sqoop
  • Oozie
  • Pig
  • Hive
  • Flume
Hadoop Hands On
  • Running HDFS commands
  • Running your MapReduce program on Hadoop 1.0
  • Running your MapReduce Program on Hadoop 2.0
  • Running Sqoop Import and Sqoop Export
  • Creating Hive tables directly from Sqoop
  • Creating Hive tables
  • Querying Hive tables
Evaluation Test
Setting up Hadoop 1.0 on a single node cluster manual
Setting up Hadoop 2.0 on a single node setup manual
Multinode setup walkthrough manual
Phase 2: Hadoop Development (8 hours)
Advanced MapReduce
  • MapReduce Code Walkthrough
  • ToolRunner
  • MR Unit
  • Distributed Cache
  • Combiner
  • Partitioner
  • Setup and Cleanup methods
  • Using Java API to access HDFS
Joins Using MapReduce
  • Map Side joins
  • Reduce side joins
Custom Types
  • Input Types in MapReduce
  • Output Types in MapReduce
  • Custom Input Data types
  • Custom Input Data types
  • Custom Output Data types
  • Multiple Reducer MR program
  • Zero Reducer Mapper Program
Advanced MapReduce Hands On
  • MR Unit hands on
  • Distributed Cache hands on
  • Partitioner hands on
  • Combiner hands on
  • Accessing files using HDFS API hands on
  • Map Side joins hands on
  • Reduce side joins hands on
MapReduce Design Patterns:
  • Searching
  • Sorting
  • Filtering
  • Inverted Index
  • TF-IDF
  • Word Co-occurrence
MapReduce Design Patterns Hands On:
  • Distributed Grep
  • Bloom Filters
  • Average Calculation
  • Standard Deviation
  • MapSide joins
  • Reduce Side joins
Evaluation Test (30 marks)
Phase 3: Other Hadoop Development Aspects- Pig, Hive, Oozie and Impala  (8 hours)
  • What is Pig
  • How Pig Works
  • Simple processing using Pig
  • Advanced Processing Using Pig
  • Pig Hands On
  • What is Hive
  • How Hive Works
  • Simple processing using Hive
  • Advanced processing using Hive
  • Hive hands-on
  • What is Oozie
  • How Oozie Works
  • Oozie hands-on
  • What is Impala
  • How Impala Works
  • Where Impala is better than Hive
  • Impala’s shortcomings
  • Impala hands-on
Evaluation Test

Venue Map