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Our 3-day Hadoop training course offers a complete immersion in Big Data technologies, focusing on Hadoop and its ecosystem. Participants will learn how to manipulate massive datasets, use HDFS for distributed storage, and exploit parallel computing capabilities with MapReduce. The program includes practical sessions to consolidate theoretical skills, ensuring a thorough and applied understanding of Hadoop concepts.

Day 1: Introduction to Hadoop

  • History and basic concepts
  • Installing and configuring Hadoop
  • Introduction to HDFS

Day 2: Data processing with Hadoop

  • MapReduce concepts
  • Writing and executing MapReduce jobs
  • Performance optimization

Day 3: Hadoop ecosystem

  • Introduction to complementary tools (Hive, Pig, HBase)
  • Data integration and management
  • Practical case study

IT professionals, data engineers, developers and system administrators wishing to acquire skills in Big Data and Hadoop.

Basic knowledge of programming and operating systems. Familiarity with database concepts is recommended.

At the end of this course, participants will be able to:

  • Install and configure a Hadoop environment.
  • Use HDFS to store and manage large volumes of data.
  • Write, run and optimize MapReduce programs.
  • Exploit the Hadoop ecosystem for data management and analysis tasks.

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