Introduction to Data Management
Learn about data management and how to improve the quality of data entities with this practical course. Topics include data governance, integration, data security, and more. Suitable for data and information users, analysts, architects, and knowledge workers. Bonus materials and practical assignments included.
What you’ll learn
- Data Management Framework
- Knowledge areas and workprocesses in data management
- Data Quality and Data Management
- Data Governance in Data Management
In this course we introduce the various aspects of Data Management. After an introduction and definitions of data, information and knowledge we will introduce data management and improving the quality of data entities via Data Management work processes. Subjects like data governance, data qualities, integration, data warehouses and business intelligence, data security, meta data, data architecture, data modeling and master data management are introduced in a practical manner. The Data Management are discussed based on a simple framework. There is a brief discussion of available open industry frameworks like MIKE and the DaMa Body of KnowLedge.
With this course you will be able to address data management issues present in your organisation. Furthermore for a number of subjects we will introduce measures you can take to solve issues in the data management field of interest.
Apart from the video lessons there is a practical case, the DaMAcademy, available with practical assignments for every relevant section of the framework. Also every section includes a quiz to test the knowledge you gained about the subject of the section. Furthermore you receive bonus material like a template for a meta data set register, examples of data patterns and principles and the slides of the course.
Who this course is for:
- Data and Information users
- Data Modelers
- Information and Data Analists
- Information Architects
- Data Owners
- Data Stewards
- Knowledge workers
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