Big Data Hadoop and Spark Developer Simplilearn
Price: USD 559
  • Duration: 1 To 180 Days
  • Timings: Full Time, Flexible

    Course details

    The Big Data Hadoop Certification course is designed to give you in-depth knowledge of the Big Data framework using Hadoop and Spark, including HDFS, YARN, and MapReduce. You will learn to use Pig, Hive, and Impala to process and analyze large datasets stored in the HDFS, and use Sqoop and Flume for data ingestion with our big data training.

    You will master real-time data processing using Spark, including functional programming in Spark, implementing Spark applications, understanding parallel processing in Spark, and using Spark RDD optimization techniques. With our big data course, you will also learn the various interactive algorithms in Spark and use Spark SQL for creating, transforming, and querying data forms.

    As a part of the big data course, you will be required to execute real-life industry-based projects using CloudLab in the domains of banking, telecommunication, social media, insurance, and ; This Big Data Hadoop training course will prepare you for the Cloudera CCA175 big data certification. Updated on 17 September, 2019

    Eligibility / Requirements

    As the knowledge of Java is necessary for this course, we are providing a complimentary access to “Java Essentials for Hadoop” course. For Spark we use Python and Scala and an Ebook has been provided to help you with the same. Knowledge of an operating system like Linux is useful for the course.

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