David Romeo
CTO, Allata
Dallas, Texas, United States
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David Romeo is a Vice President and CTO for Allata, based in Dallas/Fort Worth. He has spent the last 15+ years providing technology solutions and architecture in a variety of industries, including retail, healthcare, financial services, manufacturing, and logistics. David leads Allata’s Enterprise Solutions and Advanced Integration service offerings which span across Event-Driven Architectures, Data Mesh, and Custom/Composable Solutions David has a son & daughter with his loving wife and enjoys golfing, brewing beer, and video games in his time away.
Area of Expertise
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Building a Data-Centric Enterprise with a Data Mesh
The ability to make data-driven decisions is critical to meeting and achieving business objectives for most organizations. As the amount of data generated continues to grow, traditional centralized data architectures are presenting various challenges. A data-centric approach has become essential for businesses to make sense of the vast amounts of data and leverage it for competitive advantage. However, achieving this requires a fundamental shift in how organizations approach data management. This is where a data mesh comes in - it provides a decentralized approach to data management that empowers domain experts to create and manage their data products. Organizations that build a data-centric enterprise with a data mesh should embrace this approach for both operational and analytical purposes.
In this talk, we’ll describe specific use cases of how an organization used a data mesh to untangle their integrations and combat decades-long “spaghetti architectures” by building operationally aligned data products. We’ll then go on to show how analytically aligned data products were built to provide actionable insights. A data mesh doesn’t have to be purely operationally or analytically focused. A successful approach requires both perspectives to be considered when creating domain-specific data products that are optimized for a particular use case and business needs.
You’ll see how a data mesh provides a powerful framework for building a data-centric enterprise that empowers domain experts to effectively manage the complexity, volume, and real-time needs of data in today’s business landscape. Furthermore, you’ll have experienced use cases where a data mesh helped organizations overcome the challenges of legacy systems and siloed data by promoting collaboration, innovation, and agility. By attending this talk, you'll understand how a data mesh can be applied in practice and how it can help your organization become truly data-centric.
How Not to Get Lost on Your Event-Driven Journey
Five years ago, a handful of our clients set out to start their event-driven journey on Confluent Kafka. Their goal: to get the right information to the right places at the right time. This had been challenging for them as they had created a complex web of integrations during the course of many years.
Like any architecture journey, the future was bright, and they found that it was straightforward to implement simple use cases. As the use cases became more complex, failures and delays plagued the process. Enthusiasm for the new architecture waned, and they fell back into their old habits of designing and implementing systems as they have been for the last 30 years.
Before long, the promising future they had envisioned was forgotten. Nobody wanted to use Kafka because it took too much time to develop new use cases and the value of being event-driven was lost. Years into this journey, they had lost their way.
Join us as we relive the highs and lows of this journey. We’ll discuss where we went wrong, the pitfalls, and how getting back to basics and thinking in terms of business architecture, capabilities, and processes helped our clients find their way again.
Meshing Well with Executives: How to talk C-levels about a Data Mesh
There’s no doubt that the concepts of a Data Mesh are making waves across the data landscape. While the technology used in Data Mesh is exciting, talking about this alone to C-level executives often misses the mark. Executives care about the people, processes, and technology impacts, generally in that order.
With over 13 years of experience working with executives, I will show how to be successful in articulating the value of a Data Mesh to C-levels, using real examples of success and failures:
-Describing what a Data Mesh is in a few short words
-Presenting short-term and long-term value (business and technical)
-Enumerating the organizational impacts of implementing a Data Mesh
-Developing strategies and roadmaps
If you’re involved in Data Mesh plans or implementations in your organization then this talk is for you. Whilst the technology is fun, Data Mesh of all things only truly succeeds when the whole organization is behind it.
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