Big Data Hadoop Course in Chandigarh

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Course Overview


Big Data Hadoop Course in Chandigarh

Big Data Hadoop Training with Live Projects + Certification in Chandigarh

Big Data Hadoop course and training in Chandigarh for industry training student. Big data is the part of the Apache project sponsored by the Apache Software Foundation.  Professional course and training in Big Data and Hadoop with our comprehensive Hadoop live training in Chandigarh .

Hadoop principles like MapReduce, Yarn, Pig, Hive, HBase, Oozie, Flume and Sqoop. Get answers to your queries, get knowledge from professionals in the field, get round-the-clock assistance, and access Hadoop lessons while on the go. Proficiency with Hadoop Distributed File System and MapReduce tasks, hardware, and network settings for Cloudera, Hortonworks, and Amazon Hadoop clusters are required.


Big Data Hadoop Training Syllabus

     “Introduction & Understanding Pseudo Cluster Environment”

  • Big Data, 3Vs, Role of Hadoop in Big data
  • Hadoop and its ecosystem, Overview of other Big Data Systems
  • Requirements in Hadoop, Use Cases of Hadoop
  • Cluster Specification
  • Hadoop Configuration (Configuration Management, Environment Settings, Important Hadoop Daemon Properties, Hadoop Daemon Addresses and Ports, Other Hadoop Properties)
  • Basic Linux and HDFS commands
  • Design, Architecture, Data Flow
  • CLI Commands, Java API, Data Flow Archives
  • Data Integrity, WebHDFS, Compression


  • Theory
  • Data Flow (Map – Shuffle – Reduce)
  • Programming [Mapper, Reducer, Combiner, Partitioner]
  • Writables, InputFormat
  • Outputformat, Streaming API,
  • Input Formats (Input Splits and Records, Text Input, Binary Input, Multiple Inputs)
  • OutPut Formats (TextOutput, BinaryOutPut, Multiple Output)


  • Counters
  • Custom InputFormat, Distributed Cache
  • Side Data Distribution, Joins
  • Sorting, ToolRunner, Debugging
  • Performance Fine tuning
  • Data Flow (Anatomy of a File Read, Anatomy of a File Write, Coherency Model)
  • Parallel Copying with DISTCP

“ADMINISTRATION – Information required at Developer level”

  • Hardware Considerations – Tips and Tricks
  • Schedulers & Balancers
  • NameNode Failure and Recovery
  • NoSQL vs SQL
  • CAP Theorem, Architecture
  • Configuration, Role of Zookeeper
  • Java Based APIs
  • MapReduce Integration
  • Performance Tuning


  • Architecture, Tables
  • DDL – DML – UDF – UDAF
  • Partitioning, Bucketing, Hive-Hbase Integration
  • Hive Web Interface, Hive Server
  • The Zookeeper Service (Data Modal, Operations, Implementation, Consistency, Sessions, States)
  • Building Applications with Zookeeper (Zookeeper in Production)
  • Database Imports
  • Working with Imported Data

     Metamorph Academy Hadoop Big Data Trained In Chandigarh.

Metamorph Academy using the best practical workout sessions along side 100% practical and live based project training curriculum. We now have established the name in the area of Hadoop Training as well as other IT Courses. In the next year or two, India will need at least one lakh data scientists; by 2018, the United States alone will only have one lakh 92 thousand data scientists, compared to current reliance on four lakh 90 thousand.

Placement Assistance after 6 Months Industrial training in Big Data Hadoop in Chandigarh

Because it has a placement wing that attends to the needs of the students during placements, Metamorph Academy is the leader in providing placement services to students. Additionally, it gives pupils comfort while creating resumes that adhere to modern industry norms.

In order to equip students to handle difficult interview situations with ease, Metamorph Academy also offers Personality Development courses that include Spoken English, Group Discussions, Mock Interviews, and Presentation Skills.

Big Data Analytics Course Training in Chandigarh, India

Using clusters of commodity hardware, Hadoop is an open-source software platform for data storage and application execution. It offers huge processing power, vast storage for all types of data, and the capacity to manage practically infinite concurrent processes or jobs.


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