BEST BIG DATA HADOOP TRAINING IN bhopal

BIG DATA HADOOP TRAINING IN bhopal

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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 Bhopal. The unmatched result of the company and hard work of the faculty memembers makes it as the leading Big Data training institute in Bhopal. We also provide 100% placement to the students with personality development guidance programs.Best PLC SCADA training in bhopal by Promosys Technology provides the best professional & Summer training on PLC SCADA Training PLC SCADA Training bhopal bhopal Programmable Logic Controller. PLC SCADA Training in bhopal.Every student must know that (PLCs)is used as field devices because they are more economical, PLC SCADA Training bhopal versatile, flexible, and configurable than special-purpose RTUs. BAsically SCADA stands for supervisory control and data acquisition. It is an industrial control system where a computer system monitoring and controlling a process. A PLC SCADA system usually refers to a system that coordinates, but does not control processes in real time, but DCS do that. SCADA systems often have Distributed Control System (DCS) components.

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 Bhopal is growing in demand and is most relevant in data science today than in other fields. The field of data analytics training in Bhopal is new and there are not enough professionals with the right skills. Hence, the credibility of big data analytics certification in Varansi promises many growth opportunities for organizations as well as individuals in the booming field of data science..

BIG DATA HADOOP TRAINING IN bhopal

  •   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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