Master Data Management (MDM) Training Courses in Luxembourg

Master Data Management (MDM) Training Courses

Online or onsite, instructor-led live Master Data Management (MDM) training courses demonstrate through interactive hands-on practice tools and processes used by business and IT teams to ensure the uniformity, accuracy, stewardship, and accountability of an enterprise's data assets.

Master Data Management (MDM) training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Master Data Management (MDM) training can be carried out locally on customer premises in Luxembourg or in NobleProg corporate training centers in Luxembourg.

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MDM (Master Data Management) Subcategories in Luxembourg

MDM Course Outlines in Luxembourg

Course Name
Duration
Overview
Course Name
Duration
Overview
21 hours
This instructor-led, live training in Luxembourg (online or onsite) is aimed at engineers who wish to use Pimcore to manage product, customer, vendor, etc. data across multiple domains. By the end of this training, participants will be able to:
  • Consolidate complex master data across heterogeneous systems.
  • Configure complex multi-domain data models from multiple sources and formats.
  • Model, store and manage the hierarchy and structure of data within an organization.
  • Cleanse, match, verify, and standardize master data.
  • Integrate PIM data with digital asset management (DAM), content management (CMS), and user experience / customer experience design (UX / CX).
21 hours
This instructor-led, live training in Luxembourg (online or onsite) is aimed at developers who wish to use EBX5 (TIBCO EBX) to enable a Master Data Management solution within their organization. By the end of this training, participants will be able to:
  • Interpret requirements and architect an MDM solution.
  • Enable the management and integration of master data.
  • Integrate and transfer data across multiple systems.
  • Import data into EBX5 using match and merge logic.
  • Design, create and document a data model that addresses their organization's business requirements.
  • Integrate EBX5 with 3rd party services.

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