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Big Data Hadoop Training

Rajendra Mahakali
12/04/2017 0 0

What is Big Data?

Big data means really a big data, it is a collection of large datasets that cannot be processed using traditional computing techniques. Big data is not merely a data, rather it has become a complete subject, which involves various tools, technqiues and frameworks.

What Comes Under Big Data?

Big data involves the data produced by different devices and applications. Given below are some of the fields that come under the umbrella of Big Data.

  • Black Box Data : It is a component of helicopter, airplanes, and jets, etc. It captures voices of the flight crew, recordings of microphones and earphones, and the performance information of the aircraft.

  • Social Media Data : Social media such as Facebook and Twitter hold information and the views posted by millions of people across the globe.

  • Stock Exchange Data : The stock exchange data holds information about the ‘buy’ and ‘sell’ decisions made on a share of different companies made by the customers.

  • Power Grid Data : The power grid data holds information consumed by a particular node with respect to a base station.

  • Transport Data : Transport data includes model, capacity, distance and availability of a vehicle.

  • Search Engine Data : Search engines retrieve lots of data from different databases.

 

What you will learn in this Big Data Hadoop

  1. Master fundamentals of Hadoop 2.7 and YARN and write applications using them
  2. Setting up Pseudo node and Multi node cluster on Amazon EC2
  3. Master HDFS, MapReduce, Hive, Pig, Oozie, Sqoop, Flume, Zookeeper, HBase
  4. Learn Spark, Spark RDD, Graphx, MLlib writing Spark applications
  5. Master Hadoop administration activities like cluster managing,monitoring,administration and troubleshooting
  6. Configuring ETL tools like Pentaho/Talend to work with MapReduce, Hive, Pig, etc
  7. Detailed understanding of Big Data analytics
  8. Hadoop testing applications using MR Unit and other automation tools.
  9. Work with Avro data formats
  10. Practice real-life projects using Hadoop and Apache Spark
  11. Be equipped to clear Big Data Hadoop Certification.

Why you should go for Big Data Hadoop

  • Global Hadoop Market to Reach $84.6 Billion by 2021 – Allied Market Research
  • Shortage of 1.4 -1.9 million Hadoop Data Analysts in US alone by 2018– Mckinsey
  • Hadoop Administrator in the US can get a salary of $123,000 – indeed.com

Big Data is fastest growing and most promising technology for handling large volumes of data for doing data analytics.

 

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