Big Data Analytics

Section outline

• Select section General

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  General

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  • Select activity Announcements

    

    Announcements Forum
  • Select activity LIVE CLASS

    

    LIVE CLASS External tool
  • Select activity Course Description Big data involves storing, proc...

    Course Description

    Big data involves storing, processing, analyzing and making sense of huge volumes of data extracted in many formats and from many sources. This course is designed to teach students the fundamentals of Big Data, Big Data analysis tools and how these tools can be used to extract value out of Big Data.

    Course Objectives

    • Understand fundamental principles of Big Data.

    • Understand the key components of the computing environment for Big Data including hardware, software, distributed systems, and analytical tools.

    • Understand and discuss the application of data mining methodologies, algorithms, and enabling technologies on Big Data to deliver extraordinary results and value.

    Learning Outcomes

    Upon successful completion of this course, students should be able to:

    • Describe Big Data and its characteristics.

    • Demonstrate ability to work with Big Data using the main Big Data tools (Hadoop & Spark)

    • Describe how Big Data can be resourcefully used in a corporate environment

    • Effectively apply predictive analytics on Big Data

    • Design and implement a prototypical Big Data Analytics Solution to address a decision making situation facing an organization of your choice.

• Select section Course Outline

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  Course Outline

  • Select activity Course Outline Big Data Analytics

    

    Course Outline Big Data Analytics File PDF
• Select section Practical Take-home Exam

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  Practical Take-home Exam

  • Select activity Practical Take-home Assignment

    

    Practical Take-home Assignment

    Opened: Monday, 2 June 2025, 12:00 AM

    Due: Saturday, 14 June 2025, 11:59 PM

    Practical Take-home Assignment

    The GOAL of this take-home task is to ultimately do research and get our hands dirty by discovering how to prepare working environments to run some selected Big Data tools within an Oracle VirtualBox. 

    Note: “A mind ready to dive into technical research, with proper documentation at every stage and eagerness to fix missing dots is probably going to be your friend on this journey”.

    1. Essential Downloads

    A] Download Oracle VirtualBox 7.1.8 for windows hosts and appropriate extension pack(s).

    B] Download Ubuntu 24.04.2 LTS from its official site.

    C] Download Kaggle Chronic illness Dataset from:

    https://www.kaggle.com/datasets/flaredown/flaredown-autoimmune-symptom-tracker 

    • Any other downloads you may feel are necessary for you to achieve assigned tasks.

    FOR FULL TASK DETAILS SEE ATTACHED FILE

• Select section 01_Assignment

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  01_Assignment

  • Select activity THE BIG DATA Vs

    

    THE BIG DATA Vs Assignment

    Opened: Thursday, 8 May 2025, 12:00 AM

    Due: Monday, 12 May 2025, 12:00 AM

    THE BIG DATA Vs

    The Vs of Big Data provide characteristics that differentiate Big data from other known traditional datasets and clearly brings out the manifestations associated with it.

    Required: 
    Identify an appropriate sector of the economy, and dissect it with appropriate examples clearly showing how each of the Big data Vs perfectly fit into the setup.

    Note: No students are expected to have similar industrial sectors for this attempt. Use APA style formatting appropriately as you prepare your response.

    Submission by Friday 12pm, 9th May 2025, MSword file Min 20pages-Max30pages.

• Select section 02_Assignment

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  02_Assignment

  • Select activity Setting Up Apache Spark/PySpark on Windows 11 /10 machine

    

    Setting Up Apache Spark/PySpark on Windows 11 /10 machine URL

    Setting Up Apache Spark/PySpark on Windows 11 /10 machine

    You are required to open above link and follow the instructions for installing Apache Spark in windows.

    You will be required to take screen shots of every successfully step taken and share them in a single final pdf.

  • Select activity Setting Up Apache Spark/PySpark on Windows 11 /10 machine

    

    Setting Up Apache Spark/PySpark on Windows 11 /10 machine Assignment

    Opened: Saturday, 24 May 2025, 12:00 AM

    Due: Saturday, 31 May 2025, 1:00 PM

    Share you final pdf of screenshots taken during installation of above exercise.

  • Select activity Example to try out after Apache Spark Installation

    

    Example to try out after Apache Spark Installation URL

    Example to try out after Apache Spark Installation

  • Select activity Apache Spark installation on Windows Forum discussion for idea troubleshooting

    

    Apache Spark installation on Windows Forum discussion for idea troubleshooting

    Due: Saturday, 24 May 2025, 2:38 PM

    Apache Spark installation on Windows Forum discussion for idea troubleshooting.

• Select section Introduction to Big Data Analytics

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  Introduction to Big Data Analytics

  • Select activity What is BIG Data?

    

    What is BIG Data? File
  • Select activity Evolution of Big Data

    

    Evolution of Big Data File
  • Select activity Applications of Big Data

    

    Applications of Big Data File
  • Select activity History & Evolution

    

    History & Evolution File
  • Select activity Data Life Cycle & Methodology

    

    Data Life Cycle & Methodology File
• Select section Overview of Big Data Analytics Platforms & Use Cases

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  Overview of Big Data Analytics Platforms & Use Cases

  • Select activity Techniques, & Platforms in Big Data Analytics

    

    Techniques, & Platforms in Big Data Analytics File
  • Select activity Big Data Analytics Platforms

    

    Big Data Analytics Platforms File
  • Select activity Tools and Techniques

    

    Tools and Techniques File
• Select section Expounded view of Big Data Analytics Platforms

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  Expounded view of Big Data Analytics Platforms

  • Select activity History of Hadoop

    

    History of Hadoop File
  • Select activity Big Data Storage & Analytics

    

    Big Data Storage & Analytics File
  • Select activity Machine Learning, Stream & Database on Spark

    

    Machine Learning, Stream & Database on Spark File