Institute of Business and Technology

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Business & Technology

Institute of Business & Technology

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Weekdays – Weekends
3 Days, 21 Hours
9:00 AM – 04:00 PM
BD-001

Hadoop

After completing this course, students will be able to:

  • Understand the different components of the Hadoop ecosystem such as Hadoop, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark with this Hadoop course.
  • Understand Hadoop Distributed File System (HDFS) and YARN architecture, and learn how to work with them for storage and resource management
  • Understand MapReduce and its characteristics and assimilate advanced MapReduce concepts
  • Ingest data using Sqoop and Flume
  • Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning
  • Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution
  • Understand and work with HBase, its architecture and data storage, and learn the difference between HBase and RDBMS
  • Do functional programming in Spark, and implement and build Spark applications
  • Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques

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