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Why should you learn Big Data Hadoop

Hadoop took over the Big data ecosystem by storm in 2012. Enterprises are now looking to leverage the big data environment require Big Data Architect who can design and build large-scale development and deployment of Hadoop applications. Market research has indicated that the market for Hadoop in big data environment will grow at a CAGR off 58% and will be worth $1 BN by 2022. Hadoop essentially has become synonymous with Big data ecosystem as it incorporates a multitude of open-source tools that enable highly scalable and distributed computing, creating a huge demand for professionals who have mastered Hadoop.

Globally all BIg Data-based projects have collected over 44 zettabytes of data

Big Data has positively impacted over 1 billion workers' behaviour and efficiency worldwide

Experts analysts predict that Big Data Hadoop is set to grow at 58% CAGR by 2020


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Learning Outcomes

  • In-depth knowledge of Big Data and Hadoop & its ecosystem
  • Master real-time data processing using various tools
  • Become expert in working on data, and managing data resources
  • Become functional programmer implementing various applications to ensure effective data processing and optimization techniques are in place
  • Expert knowledge to apply interactive algorithms and work on data forms.
    Exhibit capability to ingest and analyze large datasets
  • Recommend solutions based on analysis done

Job-Oriented Big Data Hadoop Training

IIHT’s Big Data Hadoop course is designed to give you a competitive edge in the ever-evolving IT job market. The intensive 62+ hour training program will provide learners with an in-depth knowledge of the Big Data framework using Hadoop and its ecosystem, and explore various applications and tools to process and analyse large volumes of data. Master one of the most in-demand skills with industry experts and practice working on outcome-oriented, industry grade projects on cloud labs. Upon completing the course Learners will have an expert understanding of Big Data Hadoop and its ecosystem. Upon completing the online Hadoop training, learners will be able to process data by applying various algorithms, data processing, data mining and other related techniques on various kind of data sets ensuring effectiveness and optimization for the analyzed set of data that helps in taking informed decisions.

What you learn in Big Data Hadoop

  • Data Growth
  • Data Challenges(4V)
  • Why Big Data and What is Big Data
  • Hadoop Architecture Overview
  • White papers by Google
  • Challenges in Handling Big Data
  • Challenges of parallel computing
  • HDFS
  • Name Node
  • Meta Data(Persistent & Non-Persistent)
  • Data Blocks & Data Nodes
  • Master Slave Architecutre in HDFS
  • What is Map & Reduce(Key Value Pairs)
  • Why 2 phases
  • Intermdiate phases between Map and Reduce(Shuffle & Sort, Copy)
  • Hadoop Job Running Flow sequence
  • In HDFS
  • In MapReduce
  • Hadoop in MultiRack Scenario
  • Resource Manager
  • Node Manager
  • Job Flow Sequence Revisited
  • Linux Primer
  • Ubuntu Primer
  • Downloading Installing Apache Hadoop All In One configuration
  • HDFS commands
  • Mapreduce Program Execution
  • Exploring HDFS blocks & Meta Data
  • Building a Recommendation Engine Program:
  • Record Reader
  • Partitioner
  • Combiner
  • Map & Reduce Parts of program
  • Building a Sentiment Analysis Engine
  • Choosing the Key & Value, Aggregation
  • Reading 2nd file for reading the score
  • Creating a 3 Node Cluster of Hadoop(1 Master, 2 Slaves)
    Performance Tuning Options in Hadoop
  • What do you gain from IIHT’s Blended Learning ?

    IIHT’s learning model is integrated with the latest Learning trends to ensure that the audience remains engaged and their overall learning experience is flexible, convenience and productive. What more? We provide you a unique and engaging content on a user friendly and immersive learning platform that helps you to not only attend the training sessions, but watch Learning videos, read Learning Materials, interact with fellow students, write to the faculty members, practice labs, 24x7 support from a single window that makes learning effective. The assignments and assessments designed as part of the course ensures you develop right capability to prove your worth in your existing job or with prospective employer. Our state of the art learning system helps you to connect with fellow learners who are mostly working professionals that helps you to learn through collaboration and knowledge sharing.


    After the completion of the Big Data Hadoop training, candidates are eligible to apply for a list of job positions, including:
    • Big Data Architect
    • Hadoop Developer
    • Data Scientist
    • Data Analyst
    • Hadoop Administrator

    Students learn various technologies and tools: Hadoop and Bigdata, MapR,Sqoop, Flume, Hbase, Oozie, and Zookeeper. Spark, Spark R, Flink, Kafka, Storm, and Kinesis are also covered.

    All your classes will be recorded and made available through the learning management system. You can view these videos later at your convenience.

    Yes! IIHT offers an exclusive placement portal for all learners who meet certain criteria. The requirements for availing placement assistance will be notified in advanced, giving you ample time to work towards it.

    You can register for the course of your choice directly from our website or head to your closest IIHT centre. You can also speak to the learning consultants, who will guide you through the process.

    You can pay online. We accept net banking, UPI and most credit and debit cards. Our payment gateway also offers an EMI option if you would like to pay in installments.

    To initiate a refund you may write to us at support@iiht.com and a representative will get in touch with you soon.

    When you sign up for a course, you are eligible for a discount on your next course. The discount percentage will increase with every consecutive signup.  The objective of this program is to ensure that learners have an incentive to learn more without having to worry about spending too much. And hey, it is also to show you how much we treasure your association!