How to organise data products in data mesh

The data as a product places whatever you provide into a light of servicing your customer. But what does it take to manage data as a product?
This training is to understand and elaborate what data products are in your organisation and what it takes to manage them as such as a foundational pillar for building a data mesh.

Data fundamentals

Data Fundamentals is the ability to define and control the data strategy, capabilities, organization and operating model to provide the foundation for achieving the offensive and defensive data objectives.

Data Quality Management

Data Quality Management is the ability to control the integrity of data. Integrity is managed by continuously defining, designing, measuring and improving the quality of data throughout its lifecycle.

Data governance

This training provided by D8A Directors takes data governance beyond the theoretical level and provides you with practical handholds to take data in your organisation further for the upcoming years.

A draft agenda for a full day of interaction

  • Data governance concept
  • Operating model
  • Decision structures at strategic, tactical & operational levels
  • Roles and responsibilities
  • Collaboration with key stakeholders like business data owners, legal, compliance (inc privacy), security
  • Growing a scalable federated governance model

Metadata management

Metadata is the fuel for data management, process management, risk management and change management. Managing your metadata enables you to connect the dots through your organisation and create insights.

Are you looking into data mesh and productization of your data?

Metadata is key in creating data products, facilitating federated governance with domain ownership and managing self service infrastructure.

This training provided by D8A Directors takes metadata management beyond the theoretical level and provides you with practical handholds to take data in your organisation further for the upcoming years.

A draft agenda for a full day of interaction

  • Value of metadata
  • Developing a conceptual model for metadata
  • Metadata management principles
  • A holistic reference framework
  • Metadata management processes
  • Metadata management building blocks
  • Metadata categorization including a kickstart with a metadata element glossary of 150 defined elements
  • Orchestrating metadata across the landscape
  • Architecting metadata for data management for finding, understanding, governing, protecting & sharing data
  • A draft roadmap

Guiding change through enterprise data architecture practice

Data Architecture is the ability to define, design and organise the blueprints for the end state & transition on semantic, conceptual and logical architecture components across the enterprise. This entails settings directives, standards and guidelines on amongst others data transfer, formats, metadata and technology requirements.

Typical challenges for (enterprise) data architects are enabling scalability, stability, availability and (re-)usability of data across the data landscape. Latest developments in the field are for example data management at scale and data mesh.

Where TOGAF 10 still considers data part of system information architecture, practice shows that the discipline of data architecture must be approached from a technology agnostic perspective.

This training provided by D8A Directors takes data architecture beyond the theoretical level and provides you with practical handholds to take data in your organisation further for the upcoming years.

BYOUC

D8A gives training based on Bring Your Own Use Case

A draft agenda for a full day of interaction

TimeSubject
08:00-08:30Entry & welcome
08:30-10:00Data architecture role within data management & roles + responsibilities
10:00-10:15coffee break
10:15-12:00End-to-end enterprise data reference architecture & data architecture principles
12:00-13:00Lunch
13:00-14:30From business architecture context to data architecture requirements for system architecture development
14:30-14:45coffee break
14:45-16:45Architecting metadata for data management for finding, understanding, governing, protecting & sharing data
16:45-17:00close-out