DAMA Data Management Fundamentals

Service Description

Course Style - Face-to-Face or Virtual sessions via ZOOM This 2-day DAMA DMBOK Data Management Fundamentals course addresses all disciplines as identified by the international standard, DAMA Body of Knowledge (DMBOK2) and is aimed to individuals interested in developing concrete professionalism in the field of Data Management. This course provides a solid foundation of the different information disciplines across the complete Data Management spectrum and introduces students to the different levels of Industry professional certification the DAMA Certified Data Management Professional (CDMP). Course Objectives: • You will gain basic knowledge of the DAMA framework and its data management functions. • You will be able to use E-R modelling to establish facts, relationships and rules between entities at different levels of detail, including conceptual and logical models. • You will know how to use top-down and bottom-up approaches to initiate development of a data model and then elaborate means-out. • You will know how to apply data normalization in an ER model and relational database schema. • You will know techniques to discover additional requirements and to implement business rules in the data model. • You will be able to 'read' a data model and communicate it to subject matter experts, using the appropriate terminology. Course Content: • Big Data • Data Architecture • Document & Content Management • Data Ethics • Data Governance • Data Integration & Interoperability • Data Management • Data Modelling & Design • Data Quality • Data Security • Data Storage & Operations • Data Warehousing & Business Intelligence • Metadata Management • Reference & Master Data Course Prerequisites None Certification: • Certified Data Management Professional (CDMP) - Data Management Fundamentals Exam • 100 multiple-choice questions • 90 minutes • Pass mark: 60%