BIG DATA and HADOOP Training

MindsMapped Online IT Training Reviews

Online Big Data/Hadoop Training by MindsMapped

  • MindsMapped offers instructor led online Big Data / Hadoop training that help participants to get a thorough understanding of the core concepts of Big Data & Hadoop including - MapReduce, Pig, Hive, YARN, HBase, Sqoop & Oozie that help them excel as a Hadoop Developer.
  • On completion of this Big Data and Hadoop tutorial course, candidates are prepared to succeed in Hadoop job interviews and easily pass the Hadoop Developer certification from Cloudera, MapReduce, Apache, or Hortonworks.

Key Features:

30 hours of Instructor led training

Industry based Project work

Life time access to Knowledge Base

Hands on Project Execution with Cloudera

Resume Preparation and Mock Interviews

Get Hadoop Certified

Who is this online Hadoop training designed for?

  • Are you fresh out of school and need to know how Big Data / Hadoop works in the real world project?
  • Are you moving from a different platform to Hadoop / Big Data platform?
  • Are you looking for a course that keeps it simple and explains complex Big Data and Hadoop programs in an easy to understand manner?
  • Are you looking for some assistance in passing Apache Hadoop Developer certification, Hortonworks Hadoop certification or Cloudera Hadoop certification?
  • Do you want to master one of the fastest growing software platform in the world?
  • Is your career as a Java programmer too monotonous and want to induce some colors to it?
  • Do you want to build a career in evergreen Analytics stream?
  • Are you finding it difficult to perform general tasks as a Hadoop Developer?
  • Have you been a Hadoop / Java Developer for a while but feel like you need to be more proficient in some areas?
  • Do you need to have a clear understanding of the job functions and skills you need to have?
  • Are you overwhelmed with the next step to take?

What would I learn at the end of the Course?

  • Candidates would understand the core concepts of Big Data and Hadoop Framework like – HDFS & MapReduce
  • Would also be able to understand and implement the next level of MapReduce i.e.; YARN
  • Participants will learn about Hadoop ecosystem, Hadoop cluster, Hadoop storage components, Hadoop processing components, and other related topics
  • Non-Java programmers would be able to appreciate the ease of doing Big Data Analytics using frameworks like – Pig & Hive
  • Candidates would also be able to understand the concepts of the nextgen databases i.e.; NoSql Databases like – Hbase
  • Get working knowledge on peripheral tools like – Sqoop, Zookeeper and workflow like Oozie to schedule Hadoop jobs
  • Candidates will get a chance to work on various real-time projects based on MapReduce, Hive, Hbase, Sqoop and Pig
  • Java to MapReduce code conversion would also be discussed during the course

MindsMapped Online IT Training Features

  • Training courses are designed to ensure that attendees are knowledgeable on the subject to attend Big Data Hadoop job interviews and/or complete Hadoop Developer certification from Cloudera, MapReduce, Apache, and Hortonworks
  • Online training courses are based on real time examples and case studies to enhance the learning experience
  • Participants would be given with high quality assignments to gain hands on Hadoop experience and prepare them to attend interviews confidently
  • Candidates would be provided access to high quality study material that would be handy on their jobs as well
  • Attend 30 hours of interactive online classes. Assistance with resume preparation is included within this instructor led online course
  • Weekly mock interviews and brush up sessions would be conducted until the candidates land in a job of their choice
  • There will be a quiz for each module that will ensure you understand the concepts better
  • You will have lifetime access to all documentation that comes with the course – study materials, assignments, case studies, etc. on the knowledge base section of the website
  • Classes are conducted weekday evenings for your convenience and you can attend the online training from your location
  • Attend an absolutely free of cost online demo class before deciding on the course. Click here to watch our instructor led Hadoop training democlass

Who are the Hadoop Class Trainers at MindsMapped?

  • Our Hadoop Instructors are full time employees working as Architects, Technical Leads or Managers for Fortune 500 companies
  • Our Trainers are passionate about teaching and conduct these sessions for MindsMapped
  • Their experience and knowledge helps them bring real world projects and scenarios to the Hadoop classes
  • Instructors ensure that online classes are lively and participative making learning a pleasure

Big Data Hadoop Course Curriculum

Click here to download Big Data Hadoop Developer Course Contents
  • Session 1:

    • 1. Importance of Data
    • 2. What is BigData and its Hype
    • 3. Definition of Big Data - Structured Vs Unstructured data
    • 4. Users of Big Data - Scenarios and Challanges
    • 5. Why Distributed Processsing?
    • 6. Introduction to Hadoop - History & its Ecosystem
    • 7. Hadoop Animal Planet - When to use and when not to use Hadoop

    Session 2:

    • 1. What is Hadoop? - Key distinctions of Hadoop
    • 2. Hadoop Components and Architectures
    • 3. Understanding storage & processing components
    • 4. Anatomy of a File Write & File Read
    • 5. Handout discussion & Walkthrough of CDH Setup
    • 6. Hadoop Cluster modes & Configuration Files
    • 7. Understanding Hadoop Cluster & Data Ingestion to HDFS

    Session 3:

    • 1. Meet MapReduce
    • 2. WordCount Algorithm, Distributed System & Drawbacks
    • 3. MapReduce approach - Input & Output forms of a MR Program
    • 4. Phases of MR Algorithm - Map & Reduce
    • 5. Workflow & TRansformation of Data
    • 6. Walkthrough on Word Count Code
    • 7. Input Split & HDFS Block and its Relation

    Session 4:

    • 1. MR Flow with Single Reduce Task & with Multiple Reducers
    • 2. Data Locality Optimization
    • 3. Speculation Execution
    • 4. Combiner & Partioner(Hash Algorithm)
    • 5. Hadoop & Custom Data Types
    • 6. Input Format & Hierarchy
    • 7. Output Format & Hierarchy
  • Session 5:

    • 1. Side Data distribution - Distributed cache
    • 2. Joins - Map side join & Reduce Side join
    • 3. MR Unit - An Unit testing framework
    • 4. Introduction to Pig
    • 5. Pig Vs SQL
    • 6. Execution modes & Running Pig
    • 7. Pig Data types

    Session 6:

    • 1. Pig Relational & Diagnostic Operators
    • 2. Multi Query Execution
    • 3. Macro & UDF statements
    • 4. Commands & Expression
    • 5. Pig - Schemas & Functions Used
    • 6. Pig Latin File Loaders
    • 7. Pig UDF & executing a Pig UDF

    Session 7:

    • 1. Introduction to Hive - Pig Vs Hive
    • 2. Limitations, Possibilities & its Architecture
    • 3. Metastore & Data Organisation
    • 4. Hive QL - SQL Vs Hive QL
    • 5. Hive Data types
    • 6. Managed & External tables
    • 7. Partitions & Buckets

    Session 8:

    • 1. Storage Formats
    • 2. Built-in Serdes
    • 3. Importing Data & Usage of Alter,Drop commands
    • 4. Data Querying
    • 5. Using MR Scripts
    • 6. Hive Joins, Views & Sub Queries
    • 7. Hive UDFs
  • Session 9:

    • 1. NoSql & HBase
    • 2. Row & Column Oriented storage
    • 3. What is HBase?
    • 4. HBase & Shell commands
    • 5. HBase operations - Java
    • 6. HBase operations - MR
    • 7. NoSql-MongoDB

    Session 10:

    • 1. Introduction to Zookeeper
    • 2. Distributed Coordination
    • 3. Zookeper Data Model & Service
    • 4. Zookeper in HBase
    • 5. Introduction to Oozie
    • 6. Oozie workflow

    Session 11:

    • 1. Partitions & Buckets
    • 2. Storage Formats
    • 3. Built-in Serdes
    • 4. Importing Data
    • 5. Alter & Drop Commands
    • 6. Data Querying

    Session 12:

    • 1. Introduction to Sqoop
    • 2. Sqoop design & Commands
    • 3. Sqoop Import & Export
    • 4. Sqoop Incremental load
    • 5. Introduction to Flume
    • 6. Architecture & its Components
    • 7. Flume Configuration & Interceptors
  • Session 13:

    • 1. Hadoop 1 Limitations
    • 2. HDFS Federation
    • 3. NameNode High Availability
    • 4. Introduction to YARN
    • 5. YARN Applications
    • 6. YARN Architecture
    • 7. Anatomy of an YARN application

    Session 14:

    • 1. Installing Hadoop 2.2 on the Ubuntu
    • 2. Eclipse and Maven
    • 3. Configuration files
    • 4. Installation of Pig,Hive,Sqoop,Flume,oozie and zookeper
    • 5. Installation of NoSql database - HBase
    • 6. Hadoop Commands

    Session 15:

    • 1. What is Big Data?
    • 2. What is Spark?
    • 3. Why Spark?
    • 4. Spark Ecosystem
    • 5. A note about Scala
    • 3. Why Scala?
    • 4. MapReduce vs Spark
    • 5. Hello Spark!
  • Session 16:

    • 1. Java to MapReduce Conversion
    • 2. MapReduce Project

    Session 17:

    • 1. Hive Project
    • 2. Pig Project

Frequently Asked Big Data & Hadoop Questions

  • What is Big data?
  • Big Data is defined as a large volume of both structured and unstructured raw data that inundates an enterprise on a day-to-day basis. By using Big Data you can take data from any source and examine it to find answers like cost reductions, new product development, time reductions and smart decision making.

  • What is the average salary of a Hadoop Professional?
  • According to Dice, Hadoop professional made an average salary of $115,000 in 2015, which is slightly above the average of Big Data jobs.

  • What are the best certifications for Hadoop?
  • There are several top-grade big data vendors like Cloudera, Hortonworks, IBM, and MapReduce offering Hadoop Developer Certification and Hadoop Administrator Certification at different levels.

  • Do I have to be certified in Big Data and Hadoop?
  • Whether youre job hunting, waiting for a promotion, third-party proof of your skills is a great option. Certifications measure your skills and knowledge against industry to unlock great career opportunities as a Hadoop developer and to become an expert in Big Data Hadoop.

  • Is Java covered as part of this Big Data Hadoop course?
  • The total part of the Java is not covered in Big Data Hadoop course, the concepts which are required for understanding Big Data Hadoop course topics are covered.

  • What is MapReduce?
  • MapReduce is the heart of Hadoop. The MapReduce concept is simple to understand for those who are close with clustered out data processing solutions. It is the programming pattern that allows across hundreds or thousands of servers in a Hadoop cluster.

  • What is Cloud Lab?
  • Cloud Lab is a meta-cloud used in building cloud computing applications. This feature also allows users to store variables in the cloud. Cloud variables determine regular variables that have the characters in front of them.

  • What is HDFS?
  • The Hadoop Distributed File System (HDFS) is one of the most crucial topics of Apache Hadoop. It is the primary storage system used by Hadoop applications. HDFS is known as a Java-based file system that provides reliable data storage and high-performance access to data across Hadoop clusters.

  • What is Apache Flume?
  • Apache Flume is a reliable, distributed, and available service for aggregating, efficiently collecting and moving large amounts of streaming data into the Hadoop Distributed File System (HDFS).

  • What is Apache Hive?
  • Hive is a component of Hortonworks Data Platform (HDP). Apache Hive provides an SQL-like interface to store data in HDP. A command line tool and JDBC driver are used to connect users to Hive.

  • What is Sqoop
  • Sqoop is a tool designed to carry bulk data between Hadoop and database servers. It is also used to import data from databases such as Oracle to Hadoop HDFS, MySQL to Hadoop file system.

    Introduction to Big Data Hadoop - Demo Class Video

    What is Big Data Hadoop? Demo Class Video

    Online Big Data Hadoop Training by MindsMapped

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Self Paced Learning

Learn Big Data and Hadoop at your own pace by getting access to all the Video Seminars by different Instructors.

Instructor Led Training

Instructor Led online training conducted by working professionals who bring real world knowledge, and examples to the class

Self Paced Learning

Learn Big Data and Hadoop at your own pace by getting access to all the Video Seminars by different Instructors.

Instructor Led Training

Instructor Led online training conducted by working professionals who bring real world knowledge, and examples to the class