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Big Data Fundamentals

5DAT 6 chapters 3 ECTS credits Level Advanced


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


      • 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


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