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Hadoop & Spark Developer

Hadoop Developer with Spark certification will let students generate vigorous data processing applications using Apache Hadoop. After successfully finishing this course, students will be capable to comprehend workflow execution and working with APIs by executing joins and writing MapReduce Code This course will offer the most outstanding practice environment for the real-world issues faced by Hadoop developers. Hadoop Developer with Spark is among the world’s most in-demand and highly compensated technical roles.





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Key Features

  • Fast processing
  • Real-time processing
  • Better Analytics
  • Compatible with Hadoop

Course Description

A large part of the value that is usually offer comes from the data, which is constantly analyzed to produce more efficiency and develop new products. There is a change with the development of open-source frameworks, such as Hadoop (and more recently, spark) is essential for the growth of big data because this makes big data easier to work with and cheaper to store. This course is a perfect blend of in-depth Hadoop and Spark theoretical knowledge and strong practical skills via the implementation of real-time Hadoop and Spark Projects.

Course Importance

  • Understanding parallel processing in Spark.
  • Implementing applications
  • Using Spark RDD optimization techniques
  • Used for creating, transforming, and querying data forms


Batch Start From 19 October

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