[May 25] Webinar
For the past 20 years, data architectures have evolved significantly. Data Mesh represents the next step in that evolutionary journey. It’s creating opportunities to bring data closer to the people who need it, enable data
self-service, improve data quality, and reducing the time to insight.
Join our webinar based on our Thoughtworks and AWS co-authored whitepaper; which explores how different organizational structures can use AWS technology to build optimal data architectures.
On May 25 at 12pm our data experts, Danilo Sato, Head of Data & AI Services, UK and Europe at Thoughtworks and Richard Nicholson, Principal Solution Architect at AWS will explore how to evolve your data architecture over time in response to shifting organizational structures. Focusing on incorporating acquisitions into the mesh, removal of nodes from the mesh, shift in organizational preference and the importance of data boundaries.
Attendees will get a chance to discuss which Data Mesh principles are most relevant to their business.
Speakers



Register now
Please complete the form to register for our webinar on May 25 at 12pm. (Please note this does not guarantee a place, we will be in touch via email to confirm your spot).
Who can attend the webinar?
This webinar is exclusively for individuals whose responsibilities include: digital transformation, digital platform and automation, data, innovation, strategy and technology.
By registering for this event, you understand that you are sharing your details with Thoughtworks and AWS, and may be contacted by them after the session. If you do not wish to be contacted by either party then please notify
uk-partnerships@thoughtworks.com.
Interested in a prewebinar read? Download the whitepaper.
Inside the whitepaper
Our experts explore how different organizational structures can use AWS technology to build optimal data architectures for:
A centralized organization or business unit
Federated business units within an organization
Fully autonomous business units within an organization
A group of commercially distinct organizations