Our first annual Data-centric Architecture Forum in February of 2019 was a productive and inspiring experience. If you want to participate in an intimate get together for practitioners who are interested in helping shape the nascent Data-centric Revolution (check out and sign our data-centric manifesto), this event is for you.
Our second annual event will be in February of 2020 with a few dozen attendees and a handful of vendors offering solutions that look to be of interest to this community. Here's a quick summary of our 2019 event to give you an idea of what to expect.
When we say, "Data-centric Revolution", what do we mean?
To summarize, this revolution recognizes that the predominant approach to implementing enterprise applications (the “application-centric” approach) is badly broken. Several practitioners came together over two years ago and founded the “Estes Park Group”, which has been meeting on a monthly basis (and growing in membership) since then to begin to put some flesh on the skeleton of an approach we’ve outlined.
We know of a handful of firms that have adopted something very close to what we have outlined. We will be exploring what worked and didn’t work with them. We are inviting vendors that have key parts of the puzzle. Our collective opinion at the moment is that a fully functioning data-centric architecture, available for purchase, does not exist. We will be outlining what companies will do in the short term to fill this void, and hopefully we can encourage some vendors to take up the task of delivering such an architecture.
The format will be highly interactive; primarily panel discussions with much input from the audience and short vendor demos.
From this simple beginning we believe some of the more profound changes ever to occur to Enterprise Architecture and Enterprise Application space will bloom. Become part of something big.
Come for the conference, stay for the winter sports.
2020 Agenda Topics
- Data-driven authorization
- Access control through intermediate nodes that aren’t authorized
- Access Logging
- De-identification and redaction
- Identify management
- Entity resolution
- GDPR /CCPA
- Constraint management
- Trigger and Notification
- Proof /Explain functionality
- Model driven UI development
- Data-driven visualization (D3++ )
- Analytics on a triple store
- Federated Query
- Data harvesting (R2RML / json_LD)
- How to co-exist with Relational and other installed systems
- NLP engine aligned with graphDB
- Microservice Architecture that could be adapted to Data-Centric
- How DCA fits in a devOps environment
- Machine Learning and AI in a graphDB context
- Inference at scale
- RDF* / Property Graphs
Refund Policy: If you need to cancel your registration, we will refund %50 of fees if you cancel two weeks or more prior to the event.
- Data-centric Architecture Straw Man Presentation – We have outlined what we believe to be the key components a system must handle at the architectural level (these are mostly concerns that are currently implemented repeatedly and inconsistently at the application-layer now).
- Panel on the State of the DCA Industry (Panel) – Panelists will kick off with a few prepared remarks on their opinions of the current state of the industry. We'll shift into a moderated audience driven Q&A. The intent is to prepare a shared statement in consensus with the attendees on the current state, challenges, problems to be solved, and the like.
- The Business Case for DCA (Panel) – This session will attempt to construct a template, spreadsheet or document that can be used to help sponsors of a DCA lay out the case in business terms.
- Low Code / No code – We have observed that many of the extant data-centric implementations have relied on model-driven development, or what Gartner calls “low code / no code” environments. We plan to have three vendors each present 20 minute sessions on their offerings in this area.
- Metadata Management in DCA (Panel) – Some of the DCA environments we have seen are primarily metadata management environments, and all DCA has an important metadata component. This will be a moderated panel discussion with potential demos of different approaches to managing metadata in a DCA style environment.
- Security (Panel) – Virtually everyone we’ve surveyed agrees that security is one of the key issues for this type of architecture. As we shift the focus of control for authorization from the application to the architecture there will be some profound changes. We will have a combination of demos followed by interactive discussion of approaches to this key part of the architecture.
- Case Studies –There are existing Data Centric Architectures out there that we can learn from. This session will be a presentation of key architecture issues, demos, and Q&A.
- Knowledge Graphs and Graph Databases – Many of the data-centric solutions developed to data have been based on graph databases and/or knowledge graphs. While this is not essential, we plan to explore this, along with demos of vendor products.
- Implementation Strategies (Panel) – How to get from application-centric to data-centric. We know it can’t be done in a “big bang”, so this session will be a panel discussion of pros and cons of viable strategies.
- Governance (Panel) – It is expected that data-centric architectures will have two characteristics that raise the bar for governance: there will be a much higher rate of sharing of information as well as models, which increases the coordination costs, and at the same time one of the goals is to create architectures that are easier to change, therefore increasing the velocity of change. This session will explore ways for attacking these twin challenges.