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Concepts: Distributed Database Management Systems and Non-Relational Data Models - Setting up Hadoop in a fully distributed mode, using Hadoop Distributed File System (HDFS) and MapReduce (in Java and Python), and using a non-relational database based on a wide-column data model (HBase).

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Lab on Distributed Databases: Hadoop Distributed File System, MapReduce, and Wide-Column Data Models

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Semester Duration 6th January - 12th April 2025
Recommended Citation (Bibtex) Omondi, A. O. (2025). Lab Manual on Distributed Databases: Hadoop Distributed File System, MapReduce, and Wide Column Data Models (Version 1.0) [Source Code]. https://github.com/course-files/DistributedDatabases-HDFS-MapReduce-WideColumn

Lab Manual and Instruction Files

Please refer to the "Lab Manual on Hadoop Distributed File System, MapReduce, and Wide Column Data Models" for more details.

Also refer to the instruction files below for more details:

  1. Hadoop Setup in a Fully Distributed Mode
  2. HDFS and MapReduce using Java and Python
  3. HBase Setup in a Standalone Mode

Technology Stack and Process Flow

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Concepts: Distributed Database Management Systems and Non-Relational Data Models - Setting up Hadoop in a fully distributed mode, using Hadoop Distributed File System (HDFS) and MapReduce (in Java and Python), and using a non-relational database based on a wide-column data model (HBase).

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