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Maa Trainings : is a One of the best quality training center for online, Classroom and Corporate trainings In Hyderabad . We are providing training through world wide. Maa trainings is excellent Hadoop training center in Hyderabad .After course we will give support for certification, Resume preparation and how to prepare for interviews

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  • Course Name

    Bigdata Hadoop
  • Course Duration

    40-50 Days
  • Faculty

    Real time Expert
  • Category

    Selfpaced Learning
  • Support

    24/7 Technical Support

About The Course

MAA Trainings is a One of the best quality training center for online, Classroom and Corporate trainings In Hyderabad . We are providing training through world wide. Maatrainings is excellent Hadoop training center in Hyderabad.After course we will give support for certification, Resume preparation and how to prepare for interviews

Who Can Learn

  • Professionals in Testing field
  • Software Developers
  • Professionals from Analytics background
  • Datawarehousing Professionals
  • Professionals from SAP BI background.

With the growing era of technology and need to constantly update oneself to outstand in the competitive market, MAA Trainings has come to existence to provide people the knowledge about the latest trends in technology . We provide a team of trainers who will put across a thorough and detailed idea about the respective technical courses that you wish to explore .

Our work doesnot end here. Maa Trainings gives an opportunity to work on real time projects which would be guided by our real time trainers. A technical back end team would always be available to answer your queries at any point of time and will also assist you to arrange your training sessions

More Course Information

In MAA Trainings all trainers are well experts and providing training with practically..Here we are teaching from basic to advance. Our real time trainers fulfill your dreams and create professionally driven environment. In Hadoop training we are providing sample live projects, materials, explaining real time scenarios, Interview skills…We are providing Best Hadoop Training in Hyderabad, India

Course content

Hadoop Online training-Complete Course Details HDFS and MAPREDUCE.

  • 4 V's of BIG DATA(IBM Definition of BIG DATA)
  • What is Hadoop?
  • Why Hadoop?
  • Core Components of Hadoop
  • Intro to HDFS and its Architecture
  • Difference b/w Code Locality and Data Locality
  • HDFS commands
  • Name Node’s Safe Mode
  • Different Modes of Hadoop
  • Intro to MAPREDUCE
  • Versions of HADOOP
  • What is Daemon?
  • Hadoop Daemons?
  • What is Name Node?
  • What is Data Node?
  • What is Secondary name Node?
  • What is Job Tracker?
  • What is Task Tracker?
  • What is Edge computer in Hadoop Cluster and Its role
  • Read/Write operations in HDFS
  • Complete Overview of Hadoop1.x and Its architecture
  • Rack awareness
  • Introduction to Block size
  • Introduction to Replication Factor(R.F)
  • Introduction to HeartBeat Signal/Pulse
  • Introduction to Block report
  • MAPREDUCE Architecture
  • What is Mapper phase?
  • What is shuffle and sort phase?
  • What is Reducer phase?
  • What is split?
  • Difference between Block and split
  • Intro to first Word Count program using MAPREDUCE
  • Different classes for running MAPREDUCE program using Java
  • Mapper class
  • Reducer Class and Its role
  • Driver class
  • Submitting the Word Count MAPREDUCE program
  • Going through the Jobs system output
  • Intro to Partitioner with example
  • Intro to Combiner with example
  • Intro to Counters and its types
  • Different types of counters
  • Different types of input/output formats in HADOOP
  • Use cases for HDFS & MapReduce programs using Java
  • Single Node cluster Installation
  • Multi Node cluster Installation
  • Introduction to Configuration files in Hadoop and Its Imp.
  • Complete Overview of Hadoop2.x and Its architecture
  • Introduction to YARN
  • Resource Manager
  • Node Manager
  • Application Master(AM)
  • Applications Manager(AsM)
  • Journal Nodes
  • Difference Between Hadoop1.x and Hadoop2.x
  • High Availability(HA)
  • Hadoop Federation

  • The difference between MAPREDUCE and PIG
  • When to go with MAPREDUCE?
  • When to go with PIG?
  • PIG data types
  • What is field in PIG?
  • What is tuple in PIG?
  • What is Bag in PIG?
  • Intro to Grunt shell?
  • Different modes in PIG
  • Local Mode
  • MAPREDUCE mode
  • Running PIG programs
  • PIG Script
  • Intro to PIG UDFs
  • Writing PIG UDF using Java
  • Registering PIG UDF
  • Running PIG UDF
  • Different types of UDFs in PIG
  • Word Count program using PIG script
  • Use cases for PIG scripts

  • Intro to HIVE
  • Why HIVE?
  • History of HIVE
  • Difference between PIG and HIVE
  • HIVE data types
  • Complex data types
  • What is Metastore and its importance?
  • Different types of tables in HIVE
  • Managed tables
  • External tables
  • Running HIVE queries
  • Intro to HIVE partitions
  • Intro to HIVE Buckets
  • How to perform the JOINS using HIVE queries
  • Intro to HIVE UDFs
  • Different types of UDFs in HIVE
  • Running HIVE queries for Word Count example
  • Use cases for HIVE

  • Intro to HBASE
  • Intro to NoSQL database
  • Sparse and dense Concept in RDBMS
  • Intro to columnar/column oriented database
  • Core architecture of HBase
  • Why Hbase?
  • HDFS vs HBase
  • Intro to Regions, Region server and Hmaster
  • Limitations of Hbase
  • Integration with Hive and Hbase
  • Hbase commands
  • Use cases for HBASE

  • Intro to Flume
  • Intro to Sink, Source, Flume Master and Flume agents
  • Importance of Flume agents
  • Live Demo on copying LOG DATA into HDFS

  • Intro to Sqoop
  • Importing and exporting the RDBMS into HDFS
  • Intro to incremental imports and its types
  • Use cases to import the Mysql data into HDFS

  • Intro to Zookeeper
  • Zookeeper operations

  • Intro to Oozie
  • What is Job.properties
  • What is workflow.xml
  • Scheduling the jobs in Oozie
  • Scheduling MapReduce, HIVE,PIG jobs/Programs using Oozie.
  • Setting up the VMware for Hadoop
  • Installing all Hadoop Components
  • Intro to Hadoop Distributions
  • Intro to Cloudera and its major components

  • What is Spark Ecosystem
  • What is Scala and its utility in Spark
  • What is SparkContext
  • How to work on RDD in Spark
  • How to run a Spark Cluster
  • Comparison of MapReduce vs Spark

  • Tableau Fundamentals
  • Tableau Analytics
  • Visual Analytics
  • Connecting
  • Hadoop Integration with Tableau

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