Registration is now OPEN! Get the Early Bird Rate until May 1st HERE
The Data-Centric Architecture Forum is designed for semantic practitioners to come together and exchange ideas on the most challenging (and promising) components of data centric architecture.
What you can expect
This year we’ll focus on three S’s: Scale Speed and Strings.
SCALE — We’re taking it up to 10 to the 11th (100 Billion) and beyond 10 to the 12th (1 Trillion triples). Welcome to the trillion triple club! We’ll see many routes to 1 Trillion triples — brute force, federation, and sharding — and how it changes how we think of big data in the context of graph.
SPEED — We’ll look at two aspects of speed: How to get to near real time and how to get latency out of queries.
STRINGS — Tim Berners-Lee implored us to focus on ”Things not Strings” which we’ve done a good job of, but the world is full of strings (and LLMs have clearly shown us the value of harvesting those strings). We’ll look at the state of the art of leveraging the world of text to our needs as well as text to query and enterprise search in a graph environment.
Why the DCA Forum
Data-centric puts the data and model at the center as the most important part of the system. Applications conform to the data, not the other way around. Implementing a data-centric architecture means shifting functionality so that it can be shared and reused. Everything from constraint management, authentication, authorization and more must be abstracted away from application code and implemented architecturally.
To the best of our knowledge, there is no all-inclusive data-centric architecture that is commercially available. Practitioners must build it from components. This conference is for practitioners to explore the components that hold the most potential as well as for insight on how they can be architecturally assembled.
Who Should Attend
This conference is for practitioners: those who are already aligned with the data-centric rationale and are interested in exploring the architectural pathway to implementation. This is a small, interactive event. There are no booths, no explicit marketing and a lot of space to get to know your fellow architectural nerds.
This is the “how” conference. It is for people who have already decided that they are going to become data-centric and just need to know how to best proceed.
A Look Back: 2004 Agenda Highlights
Curious what kind of content we cover?
Here’s a snapshot of last year’s sessions — real problems, real architecture, real progress.
Join US
Join leaders from Franz, ExxonMobil, AstraZeneca, Raytheon Technologies, and more in a highly interactive setting designed for open exchange and practical exploration. Whether you’re fine-tuning your architecture or assembling your first components, this is where you’ll find your edge.
2025 Presenters
HURRY SPACE IS LIMITED
Register now and join the conversation that’s shaping the future of enterprise data.
2025 Sponsorship Opportunities
Vendors and Organization Sponsorships
This year, we will also be opening up a limited number of sponsorship slots for vendors and other interested organizations that would like to showcase a particular product or tool. Please email [email protected] for further information.
What is Data-Centric?
It’s the opposite of application centric. Data is at the center with applications built around it. Fundamentally, this data-centric architecture is a mindset shift. At its core it acknowledges data’s valuable and versatile role in the larger enterprise and industry ecosystem and treats information and seamless knowledge sharing as a core asset. Read more about The Data Centric Revolution.
What Industries are Implementing?
Organizations are moving towards data eco-systems like Data Fabric and Data Mesh. Data-centric concepts serve as the foundational building blocks.
Every industry could benefit from dissolving information silos, reducing systems complexity while radically lowering integration debt.
Resources to Further Explore the Power of Knowledge Graphs
Semantic Arts
The Data-Centric Transformation Space.
A place to learn from the innovators of the data-centric community.
Do you struggle with your enterprise information silos?
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