Data Management (Level 8)

This module aims to focus on the need of tools and technologies require for managing and storing Research, Big data, and business problems at level 8. Data is key to any organization, so this module examines the relevance of data management as a corporate asset, as well as the data management components required for addressing business problems in terms of data capturing, storing, sharing, validation, and accessibility.

This module introduced students to the use of database management systems (DBMS), entity relationship diagrams (ERDs) for database designs and the administrative processes that manage the data lifecycle. Students will also learn, what is database architecture and modelling, how to create relational databases, SQL and NoSQL data models queries to extract information to satisfy business reporting requests as well as data manipulation and stored data distribution using both formats. How to take leverage from cloud data stores for longer time data perseverance without having redundancy and scalability issues in terms of resources and availability.

The objective of this module is to provide the learner with knowledge of:

• Understanding of data as enterprise asset
• An overview of the Data planning, Data management, Data modelling mechanisms
• The theoretical and practical differences between traditional, relational, and non-relational database
• Understanding of Structure and unstructured data; data pre-processing challenges
• Developing knowledge of Advance SQL and Modern databases i.e., NoSql, Graph Database
• Awareness about data security and privacy including cloud data management
• Applying these techniques and principles in typical real world scenarios by using latest tools