Pig, Hive and Impala training with Hadoop

Description

The "Pig, Hive and Impala with Hadoop" training course offered by QTA Tech is designed to provide participants with an in-depth understanding of data processing and analysis tools in the Hadoop ecosystem. Over 4 intensive days, participants will learn how to use Pig, Hive and Impala to process, analyze and manipulate large amounts of data, optimizing their Big Data and data analysis skills.

QTA Tech's "Pig, Hive and Impala with Hadoop" training course is an exceptional opportunity for IT professionals to develop essential Big Data skills. In just 4 days, participants will be equipped with the knowledge and skills needed to excel in processing and analyzing large amounts of data with Pig, Hive and Impala tools.

Day 1: Introduction to Hadoop and Pig

  • Introduction to the Hadoop ecosystem
    • HDFS (Hadoop Distributed File System)
    • MapReduce
  • Introduction to Apache Pig
    • Pig concepts and architecture
    • Pig Latin scripts
    • Basic operations with Pig
    • Debugging and optimizing Pig scripts

Day 2: Advanced Apache Pig and Introduction to Hive

  • Advanced operations with Pig
    • Built-in and custom functions
    • Joins, group by and complex transformations
  • Introduction to Apache Hive
    • Hive concepts and architecture
    • HiveQL language
    • Table creation and management

Day 3: Apache Hive Advanced and Introduction to Impala

  • Advanced operations with Hive
    • Optimizing Hive queries
    • UDF functions (User-Defined Functions)
    • Managing partitions and buckets
  • Introduction to Cloudera Impala
    • Impala concepts and architecture
    • Comparison between Hive and Impala

Day 4: Advanced Impala and case studies

  • Advanced operations with Impala
    • Optimizing Impala queries
    • Performance and resource management
    • Security and access management
  • Case studies and practical projects
    • Practical application of concepts learned
    • Analysis of real data with Pig, Hive and Impala

This course is primarily aimed at :

  • Software developers and engineers
  • Data analysts and data scientists
  • Database administrators
  • IT professionals wishing to deepen their knowledge of Big Data

To take full advantage of this course, participants must :

  • Have a basic understanding of database concepts and SQL
  • Basic programming skills (e.g. in Java, Python or another language)
  • Familiarity with Unix/Linux systems (basic commands)

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

  • Understand the architecture and components of the Hadoop ecosystem
  • Use Apache Pig to write and optimize data processing scripts
  • Master Apache Hive to create and query Big Data databases
  • Leverage Cloudera Impala for fast, efficient data analysis
  • Optimize query performance and effectively manage data resources and security

Training Details

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