Big Data Hadoop Analyst Training


How long?

  • online
  • on demand

What are the topics?



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Who should attend

  • Business Professionals,Data and System Analysts
  • ETL and Data warehousing Professionals, Project Managers and Business Intelligence experts
  • Anyone wants to learn Big data and Hadoop and doesn’t have programming experience

About the course

This course will enable an Analyst to work on Big Data and Hadoop which takes into consideration the burgeoning demands of the industry to process and analyze data at high speeds. This Training Course will give you the right skills to deploy various tools and techniques to be a Hadoop Analyst working with Big Data.

What you will learn in this Hadoop Analyst Training Course?

  • Hadoop Architecture and Ecosystem
  • Learn about Apache Hive, Pig, YARN
  • Complex data processing techniques
  • Come up with Hadoop real-time queries using Impala
  • Integrate HBase with MapReduce
  • Deploy MapReduce advanced Indexing
  • ETL connectivity with Hadoop ecosystem
  • Real-time analysis on large data sets

What are the prerequisites for taking this Big Data Analyst Training Course?

A basic knowledge in any programming language is beneficial but not necessary.

Why should you take this Hadoop Analyst Online Training Course?

Hadoop is gaining a steady groundswell with some of the biggest companies exclusively relying on Hadoop for making sense of Big Data. This Combo Course will help you work on the Hadoop framework and process humungous amounts of data at top speeds so as to make sense of it in real-time. There is a huge demand for professionals with the exact skills that this Training Course is providing. This shall ensure you can get top salaries and grow in your career.

Hadoop Analyst Course Content

Introduction to Big Data & Hadoop and its Ecosystem, Map Reduce and HDFS

What is Big Data, Where does Hadoop fit in, Hadoop Distributed File System – Replications, Block Size, Secondary Namenode, High Availability, Understanding YARN – ResourceManager, NodeManager, Difference between 1.x and 2.x

Hadoop Installation & setup

Hadoop 2.x Cluster Architecture , Federation and High Availability, A Typical Production Cluster setup , Hadoop Cluster Modes, Common Hadoop Shell Commands, Hadoop 2.x Configuration Files, Cloudera Single node cluster

Deep Dive in Mapreduce

How Mapreduce Works, How Reducer works, How Driver works, Combiners, Partitioners, Input Formats, Output Formats, Shuffle and Sort, Mapside Joins, Reduce Side Joins, MRUnit, Distributed Cache

Lab exercises :

Working with HDFS, Writing WordCount Program, Writing custom partitioner, Mapreduce with Combiner , Map Side Join, Reduce Side Joins, Unit Testing Mapreduce, Running Mapreduce in Local Job Runner Mode

Graph Problem Solving

What is Graph, Graph Representation, Breadth first Search Algorithm, Graph Representation of Map Reduce, How to do the Graph Algorithm, Example of Graph Map Reduce,

Exercise 1: Exercise 2:Exercise 3:


David Callaghan

An experienced Blockchain Professional who has been bringing integrated Blockchain, particularly Hyperledger and Ethereum, and Big Data solutions to the cloud, David Callaghan has previously worked on Hadoop, AWS Cloud, Big Data and Pentaho projects that have had major impact on revenues of marqu...

Suresh Paritala

A Senior Software Architect at NextGen Healthcare who has previously worked with IBM Corporation, Suresh Paritala has worked on Big Data, Data Science, Advanced Analytics, Internet of Things and Azure, along with AI domains like Machine Learning and Deep Learning. He has successfully implemented ...

Videos and materials

Big Data Hadoop Analyst Training at IntelliPaat

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Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with any business school or university.

Full disclaimer.

Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.

We are happy to help you find a suitable online alternative.