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Big Data with Hadoop Online Training

Big Data with Hadoop Developer Online Training


Course Overview

The Big data is nothing more than large volume of data. It has been around for around two decades. Big data is large amount of data owned by a company, obtained and manipulated through some new techniques in order to produce valuable format in the best way possible.

In order to store and process big data an open-source framework Hadoop can be used. Hadoop can process big data in a distributed environment across clusters of computers using simple programming models. Hadoop can scale up from single servers to hundreads of machines, each will offer local computation and storage. Our training in Big Data with Hadoop will teach you the concept of Big Data and will practically show how you can use Hadoop framework in distributed environment.


  • Dimensional modeling
  • Basic SQL
  • Data warehouse design
  • Database design

Target Audience

  • Business Intelligence Developer
  • Data Warehouse Administrator
  • Business Analysts
  • Data Warehouse Analyst
  • Data Modelers
  • Reports Developer
  • Data Warehouse Developer
  • Application Developers

On-site training for Corporate

We conduct on-site training for this course provided that the company has a training room with laptops or computers.

The price for a group of up to 3 candidates is £4,200.00 and for every additional candidate is £500.00 (within M25 area)

The price for a group of up to 3 candidates is £4,500.00 and for every additional candidate is £500.00 (outside M25 area)

Course Content

Big Data with Hadoop Developer

  • Explain Hadoop 2.0 and YARN
  • Explain how HDFS Federation works in Hadoop 2.0
  • Explain the various tools and frameworks in the Hadoop 2.0 ecosystem
  • Use the Hadoop cbrent to input data into HDFS
  • Using HDFS commands

  • Explain the architecture of MapReduce
  • Run a MapReduce job on Hadoop
  • Monitor a MapReduce job

  • Write a Pig script to explore and transform data in HDFS
  • Define advanced Pig relations
  • Use Pig to apply structure to unstructured Big Data
  • Invoke a Pig User-Defined Function
  • Compute Quantiles with Pig
  • Explore data with Pig
  • Spbrt a dataset with Pig
  • Join datasets with Pig
  • UsePig to prepare data for Hive

  • Write a Hive query
  • Understand how Hive tables are defined and implemented
  • Use Hive to run SQL-brke queries to perform data analysis
  • Perform a multi-table select in Hive
  • Design a proper schema for Hive
  • Explain the uses and purpose of HCatalog
  • Use HCatalog with Pig and Hive
  • Computing ngrams with Hive
  • Analyzing Big Data with Hive
  • Understanding MapReduce in Hive
  • Joining datasets with Hive
  • Streaming data with Hive and Python

  • Use Sqoop to transfer data between Hadoop and a relational database
  • Using Sqoop to transfer data between HDFS and a RDBMS
  • Using HCatalog with Pig
  • Define a workflow using Oozie

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