Hadoop Administration Big Data Development

Hadoop Administration Big Data Development Introduction:

This course combines Hadoop Admin and Hadoop Development objectives. Hadoop Admin covers Configuring, Deploying and Maintaining a Hadoop Cluster. When you learn about Hadoop Development, MapReduce application in Java programming is dealt in detail. Hadoop Development course also includes debugging, managing jobs, improving performance, working with custom data, managing workflows, and using other programming languages

Overview Of Hadoop Administration Big Data Development Job Support:

With the humongous amount of data that is being generated every day, Big Data has taken an forefront in the IT world. There is an un-precedented hike in the demand amongst the professionals to get certified on the Big Data Hadoop Developer & Administrator to grow their careers in this technology.Most of the organizations in the IT sector have embraced the concept of Big Data & started to invest in it.

The Hadoop Administration will allows you to master in Hadoop Architecture, HDFS, Hadoop Cluster & Hadoop Administrator’s role, Plan & Deploy an Hadoop Cluster,  Load Data & Run the Applications, Configuration & Performance Tuning, How to Manage, Maintain, Monitor &  Troubleshoot an  Hadoop Cluster, Cluster Security, The Backup & Recovery  & Insights on Hadoop 2.0, Name Node High Availability, HDFS Federation, YARN, MapReduce v2 and much more.

The Big Data is an popular phrase used to describe an massive volume of both structured as well as  unstructured data that is so large that it’s difficult to process with the traditional database & the software techniques.

Big Data Development has become an strategic asset for many of the companies in a variety of industries. Increasingly, efficient operations rely on the effective usage of vast amounts of structure & the un-structured data. Data from the sources beyond the internal databases can add significant value & competitive advantages. However, with the exponential growth of data, it becomes difficult to process it using  the database management tools along with the  traditional data processing applications.

Working Hours

  • Monday9am - 6pm
  • Tuesday9am - 6pm
  • Wednesday9am - 6pm
  • Thursday9am - 6pm
  • Friday9am - 6pm
  • SaturdayClosed
  • SundayClosed

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