Big Data Technologies
About This Course
This professional programme introduces students to the technologies, concepts and practices used to manage, process and analyse large and complex datasets. Students will explore big data environments, distributed processing, data storage technologies, data pipelines, analytics platforms and practical approaches to working with large-scale information.
The course develops an understanding of how organisations use big data technologies to process information efficiently, support analytical activities and make informed decisions. Students will also explore important considerations relating to data quality, security, privacy and responsible use of large-scale data.
Course Information
What You Will Learn
- Understand the fundamentals and characteristics of big data.
- Explore technologies used to store and process large datasets.
- Understand distributed computing and large-scale data processing.
- Work with data pipelines and big data processing workflows.
- Explore big data analytics and data-driven decision-making.
- Understand security, privacy, governance and responsible data use.
Course Modules
1. Introduction to Big Data
This module introduces the fundamentals of big data and explains the characteristics, sources and challenges associated with large-scale datasets.
2. Big Data Storage and Distributed Systems
This module explores technologies and architectures used to store large volumes of data and introduces distributed storage and computing concepts.
3. Big Data Processing Technologies
This module introduces technologies and techniques used to process large datasets efficiently, including distributed processing and parallel data processing concepts.
4. Data Pipelines and Big Data Analytics
This module examines data pipelines, data processing workflows and analytical techniques used to transform large datasets into useful information.
5. Big Data Security, Privacy and Governance
This module explores security, privacy, data governance and risk management considerations when working with large-scale data environments.
6. Big Data Applications and Practical Projects
This module brings together the concepts developed throughout the course and explores practical applications of big data technologies through project-based activities.
Learning Outcomes
- Explain the main concepts and characteristics of big data.
- Identify appropriate technologies for large-scale data storage and processing.
- Describe distributed computing and big data processing environments.
- Understand the role of data pipelines in large-scale data systems.
- Apply big data concepts to practical analytical and organisational scenarios.
- Recognise important security, privacy, governance and ethical considerations.
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