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Course Curriculum

  • Creating links .
  • Using the Spark shell for interactive data analysis.
  • Creating Modules and Topics .
  • Writing Spark applications
  • Processing streaming data with Spark.
  • Using Release Conditions
  • Using the Manage Files Are.
  • Using the HTML Editor to create web pages

Apache spark scala storm training

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Apache spark scala storm training

Apache spark scala storm training institutes in marathahalli bangalore Apache Spark is an open-source processing engine for the large data …

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    Apache spark scala storm training institutes in marathahalli bangalore

    Apache Spark is an open-source processing engine for the large data sets.it’s the (3rd)next-generation file
    processing system.it’s the best tool for big data ecosystem.unlike Hadoop, spark can support batch process,
    streaming,complex interactive and user interactive algorithms quickly.
    if u know python it’s not a problem you can Learn PYSPARK.

    The initial portion of the Apache Spark Scala Storm Training is presented at the level of a CS freshman, expecting the attendee to have some programming experience in Python, Java, or Scala. The latter portion is presented at the level of a CS graduate student, focusing specifically on research on or with Spark, and featuring speakers
    from the core development team.

    * The first course, called Introduction to Big Data with Apache Spark, will teach students about
    Apache Spark and performing data analysis.
    * Students will learn how to apply data science techniques using parallel programming
    in Spark to explore big (and small) data.
    * The course is also designed to help prepare students for taking the Spark Certified Developer exam.
    * most of the companies sprang up to exploit this new technology,so it’s the right
    on Apache Spark for better career growth.
    * We also conducting Live, Online, Instructor led, Practical training.
    * Online sessions will be recorded for you to revise later or if you miss a class.
    * Several hands-on exercises using datasets such as Movielens, Titanic, State Of the Union speeches,
    and RecSys Challenge 2015, including take-home exercises.

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