Advanced Features of the Hadoop

Advanced Features of the Hadoop

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Last updated on June 17, 2025 12:35 am
Advanced Features of the Hadoop
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You will learn about the Hadoop components, Hive concepts, working with Oozie, Flume, API access to Cloudera manager, Scala, Spark Ecosystem and its components.

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The Hadoop ecosystem is a vital part of big data analytics. Learn how to use its features and components in this free online course. You will explore Sqoop, Hive databases, the Spark ecosystem, Flume, Apache Pig, Scala and even Cloudera. The material combines theory with practice to provide you with practical knowledge through hands-on activities. Ready to take your knowledge of Hadoop to the next level? Enrol now!

What You Will Learn In This Free Course

  • Explain how to import incremental da…
  • Describe how to export incremental d…
  • Summarize Hive partitioning, bucketi…
  • Select Hive tables for different fil…
  • Explain how to import incremental data from RDBMS to HDFS and from RDBMS to Hive
  • Describe how to export incremental data from Hive to RDBMS and from HDFS to RDBMS
  • Summarize Hive partitioning, bucketing and indexing
  • Select Hive tables for different file formats
  • Outline and develop Pig Latin scripts in Pig
  • Analyze and schedule the Oozie Workflow using coordinator
  • Describe Flume integration with HDFS
  • Explain how to read data from HDFS to Spark 1.x, and how to read and load data from Hive to Spark 1.x using Spark SQL

    • Advanced Features of the Hadoop Ecosystem

    This module will cover the software packages used in the Hadoop Ecosystem. You will be introduced to the data transfer tool Sqoop and learn about data storage and performance in Hive, how to execute queries and create Hive tables in different file formats. After this you will cover Oozie workflow action nodes and executing the Pig and Shell action.

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