Big Data Hadoop Training

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Big data is data sets that are so voluminous and complex that traditional data processing application software are inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization and more.

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Course Details

Big data is data sets that are so voluminous and complex that traditional data processing application software are inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating and information privacy.

Big Data Hadoop training with certification will make you an expert in HDFS, MapReduce, Hbase, Hive, Pig, Yarn, Oozie, Flume and Sqoop using real-time use cases on Retail, Social Media, Aviation, Tourism, Finance domain. You will get edureka Hadoop certification at the end of the course.

 

Big Data Hadoop Course Content:

  • Introduction
  • Working with HDFSYarn
  • Installation & Configuring Hadoop
  • Advanced Administration Activities
  • Monitoring Hadoop Cluster
  • Other Components Of Hadoop Ecosystem

 

Careers with Hadoop:

Big Data Hadoop Training could make a great difference in getting your dream career. Employees with capabilities of handling big data are considered more valuable to the organisation.

Hadoop skills are in great demand and thus it is very important for the IT professionals to keep up with the current trend, because the amount of data generated day by day is ever increasing.

According to the Forbes magazine report of 2015, around 80% of the global organisations are reported to make high- or medium-level investments in big data analytics. They consider this investment to be very significant and so they plan to increase their investment in big data analytics.

There are more job opportunities with Hadoop. Looking at the market forecast for Big Data, it looks like the need for Big Data engineers is going to increase. Big Data is here to stay, as the data is ever increasing and does not seem to slow down in the coming years.

  • Chandigarh Branch

    SCO 80-81-82, 2nd Floor, Chandigarh

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