BEST BIG DATA HADOOP TRAINING IN GORAKHPUR

BIG DATA HADOOP TRAINING IN GORAKHPUR

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The best professional training on Big Data in Gorakhpur. Big Data training in Gorakhpur is the process of gathering, managing, and analyzing large sets of data (Big Data) to uncover patterns and other useful information.The big data training in Gorakhpur offers the patterns which are a minefield of information and analysing them provide several insights that can be used by organizations to make business decisions. This analysis is essential for large organizations like Facebook who manage over a billion users every day, and use the data collected to help provide a better user experience. Big data analytics certification in Gorakhpur is growing in demand and is most relevant in data science today than in other fields. The field of data analytics training inGorakhpur is new and there are not enough professionals with the right skills.

The course module of Promosys Technology is designed in such a way that every student gets the practical approach and methods that makes Promosys Technology as the best Big Data training in Gorakhpur. The unmatched result of the company and hard work of the faculty memembers makes it as the leading Big Data training institute in Gorakhpur. We also provide 100% placement to the students with personality development guidance programs.

BIG DATA HADOOP TRAINING IN GORAKHPUR

  •   INTRODUCTION OF BIG DATA
  •   Basics of Big data
      Big Data Generation
      Big Data Introduction
      Big Data Architecture
      Understand Big data Problem
      Big data Management Approch
      treditional and Current Data storing approch
      Understand various data formats and data units
      Big data With Industry Requirments
      Big Data Chalanges
  •  HADOOP ENVIRONMENT
  •  Understand Hadoop Enviorment
      requirment of hadoop
      Importance of Data Analytics
      Setting up hadoop Enviorment
      Hadoop advantages over RDMS
  •   HADOOP CLUSTER & FILE SYSTEM
  •   Explaining Various file systems
      Hdfs GFS, POSIX, GPFS
      explain clustring methetology
      Master Nodes and slave nodes
     
  •  HADOOP HIVE
  •   Understand Data Ware Housing
      Requirement of Data Ware housing
      Data Ware housing with Hive
      Understand Hive environment
      working with Hive Query Language
      Perform DDL approach Through Hive
      Perform DML approach through Hive
  •   HADOOP PIG
  •   Introduction of PIG
      Requirement of Pig
      Working with pig Script
      Running and managing Pig Script
      Perform Streaming Data Analytics through PIG
      Pig Advantages and Disadvantages
  •  HADOOP FILE SYSTEM(HDFS) & HADOOP ARCHITECTURE
  •   Working on hdfs File System
      Creating lib and accessing lib from HDFS
      hadoop commands make dir,delete dir etc
      working with web console
  •   HADOOP MAPREDUCE
  •  Introduction of Map Reduce
      mapreduce programming and word count
      mapreduce nodes job tracker and task tracker
      running Mapreduce program through web console
  •  HADOOP JAQL
  •   Introduction of JAQL Approch
      Understand information stream
      Understand Information ocean
      Working with JAQL Language
  •   HADOOP FLUME & SQOOP
  •   Understand Flume methodology
      Requirement of flume
      flume advantages
      working lab with flume
      introduction of Sqoop
      Requirement of sqoop
      advantages of sqoop
  •   HADOOP BIG R & OZIE
  •   Introduction of BIG R
      Advantages of BIG R
      Working Lifecycle of ozie
      understand ozie data flow
      ozie setup and requirement
      understand ozie scheduling
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