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HDP Developer Apache Pig and Hive Training





Course Description

This training is recommended for developers who know how to create apps in analyzing Big data stored in Apache Hadoop by utilizing Hive and Pig. The topics also coves HDFS, data ingestion, Hadoop, data ingestion and workflow definition, utilizing Pig and Hive in performing data analytics stored on Big Data. The course also covers introductory course Spark SQL and Spark Core.

  • Describing about YARN and utilize cases for Hadoop.
  • Describing about Hadoop frameworks and ecosystem tools.
  • Describing Hadoop frameworks and ecosystem tools.
  • Describing about HDFS architecture.
  • Utilizing the Hadoop client and input data into HDFS.
  • Transferring of data between Hadoopn and relation database.
  • Explaining MaoReduce architectures and YARN.
  • Running MapReduce job on YARN.
  • Utilizing Pig to transform and explore data in HDFS.
  • Understanding about Hive Tables which are implemented and defined.
  • Utilizing the functionalities used in Hive Windows.
  • Utilizing Hive to analyze and explore datasets.
  • Utilizing and explaining about the several Hive File Formats.
  • Populating and creating a Hive table that utilized ORC file supported extension.
  • Utilizing Hive to execute SQL queries in performing data analysis.
  • Utilizing Hive for joining data sets and utilizing widespread techniques.
  • Writing effectual Hive queries.
  • Performing data analytics utilizing the DataFu Pig library.
  • Explaining the purposes and utilizing HCatalog.
  • Scheduling and defining about Oozie workflow.
  • Presenting high-level architecture and Spark ecosystem.
  • Exploring DataFrame API and Spark SQL.
Who Should Attend?

This training is intended for software developers who want to gain knowledge in developing apps for Hadoop.


The recommended prerequisite for this course is familiarity with software development and programming principles. However, any specific knowledge of Hadoop is not required.

Course Details
  • Duration: 4 Days
  • Certification: NO
  • Enrolled: 1242
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