Section: Day 8 - Big Data and NoSQL | IT5507 - Fundamentals of Data Science - 2025 - XKU | Whitireia&WelTec Moodle

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Section: Day 8 - Big Data and NoSQL | IT5507 - Fundamentals of Data Science - 2025 - XKU | Whitireia&WelTec Moodle

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-- School of Information Technology --

Fundamentals of Data Science
IT5507
- Announcements Forum
- Welcome to the Fundamentals of Data Science Course!
  
  We hope you enjoy your learning journey!
- Lecturer: Dr Hamid Mahroeian
  Email: hamid.mahroeian@whitireia.ac.nz
  
  Lecturer: Dr Harvey Ho
  Email: harvey.ho@weltec.ac.nz
- Course aim:
  To provide learners with a basic understanding of how data is modelled, stored, manipulated, and analysed using databases and visualisation techniques.
  
  Learning outcomes:
  By the end of this course, the student will be able to:
  Describe and explain data using a variety of visualization techniques and software tools.
  Analyse the data requirements of simple systems and model those requirements using conceptual and logical data modelling techniques.
  Create a simple database that includes tables, columns, primary keys, foreign keys and simple queries.
  
  Student Resources:
  Learning materials will be provided as required during the course via Moodle.
  Any other reference material will be provided by the lecturer throughout the course.
  Completion criteria:
  Students must attempt all assessments and achieve an overall grade of 50% to be successful in this course.

Day 8 - Big Data and NoSQL

Day 8 - Big Data and NoSQL

In this session, we'll delve into the realm of Big Data and NoSQL databases. We'll examine how organizations handle large volumes of diverse data and explore the role of NoSQL databases in managing unstructured data efficiently.
- Day 8 - Big Data and NoSQL File
- Lab 8 File
- Submit your Lab 8 here Assignment
- Lab 8.1 Interactive Chart Analysis File
- Submit your Lab 8.1 here Assignment
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- Quiz 8
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- Additional resources
- Revolutionizing Retail: Unleashing the Power of Predictive Analytics for Enhanced Customer Service URL
- How Analytics Make For A Smarter Retail Business URL
- Big Data and Social Media for Better Marketing URL
- Big Data, Big Impact: How Data Improves Your Social Media Marketing URL
- Exploring NoSQL Database Examples URL
- Describe the capabilities of Microsoft Power BI by Microsoft URL