In an increasingly digital world, data management has become an essential skill for any professional. The course Data Management offers you the chance to immerse yourself in the world of planning, design, maintenance y holistic management data analysis, skills that are in high demand in today’s labour market. With the exponential growth of information, companies are looking for experts trained to manage and optimise your data, which places you in a strategic role within any organisation. This online course will enable you to acquire key knowledge for efficiently managing large volumes of data, thereby improving decision-making and boosting business success. Upon completing the course, you will be prepared to tackle the challenges of data management, opening doors to new career opportunities in booming sectors. Join us and transform your career.
Data Management
Big Data
40 hours
Introduction
Objectives
- To understand the fundamental concepts of data management in digital environments.
- Plan effective data storage and retrieval strategies.
- To evaluate and select tools for the efficient design of databases.
- Develop skills in maintaining and updating data systems.
- Implement holistic management practices to ensure data integrity.
- Identify and resolve common problems in data management.
- Analyse case studies to apply data management techniques in real-life situations.
Table of Contents
TEACHING UNIT 1. Data management
1. Introduction
2. Key concepts
3. Dama data management framework
4. Data management
5. Ethics in data management
TEACHING UNIT 2. Planning and design
1. Data governance
2. Data architecture.
3. Data modelling and design.
4. Data storage and processing.
5. Data security.
TEACHING UNIT 3. Data maintenance and use
1. Data integration and interoperability.
2. Master and reference data management.
3. Data warehousing and business intelligence
4. Metadata management.
5. Data quality.
TEACHING UNIT 4. Holistic data management
1. Chief Data Officer (CDO)
2. Holistic data management
3. Where does the data come from?
4. Is the data of the required quality?
5. Is there a shared understanding of the data?