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Articles - Étudiants SUPINFO

Big Data Fundamentals

5DAT 6 chapters 3 ECTS credits Level Advanced

Introduction

This course provides the fundamentals for Big Data. It defines the vocabulary and the functionality of a Big Data solution.
We study the issues and solutions related to storage, management and analysis within very high volume environments.
The practical part is mainly done on a Hadoop ecosystem, including HDFS storage layer, Pig data processing and Hive querying.

Learning path

      Objectives

      • Evaluate the architecture, components, operation, and tools
      • Compare and contrast the Big Data stores available for your disparate datasets
      • Plan how to use Hadoop to process large datasets to benefit business and technical decision making
      • Select appropriate high-level tools such as Pig and Hive to transform and query Big Data
      • Integrate appropriate components of the Hadoop ecosystem

      Course content

      • Introduction to Big Data

        Course : 120 min - Labs : 120 min
      • Storing Big Data

        Course : 120 min - Labs : 120 min
      • Introduction to Hadoop

        Course : 120 min - Labs : 120 min
      • Extracting Value From Big Data With Queries

        Course : 120 min - Labs : 120 min
      • Completing Hadoop Ecosystem

        Course : 120 min - Labs : 120 min
      • Planning and Implementing a Big Data Solution

        Course : 120 min - Labs : 120 min

      Resources

      Advanced Members' lounge (enrolled in a cursus or status holder)

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      You master the subject : Get certified and earn ECTS credits

      Enrol for a SUPINFO cursus

      You can earn an Associate of Science diploma at the end of Year 2. That title can be supplemented by one year in B.Sc to earn a Bachelor of Science. B.Sc. holders can further their path to success by taking an additional 2 years M.Sc. to get a Master of Science (french-state accredited)

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