Welcome to the Webinar Series: Towards Data Lakehouse Architecture
The topic for the third webinar of the TDLA series is: Compute Layer Unbundled – Market Trends Shaping Data Lakehouse in 2025.
The open data lakehouse is moving beyond monoliths toward disassembled compute: vectorized native backends, embeddable engines, and multi-engine stacks operating over shared catalogs. In parallel, cloud platforms now offer a spectrum of runtimes - from customer-managed clusters to fully serverless pools. This session maps the compute landscape and shows how to match workloads to engines and deployment models for performance, cost, and agility.
During the webinar, you will find out:
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- Which compute options are available today? (single-node, distributed, serverless, customer-managed)
- How do they differ in practice? (latency, concurrency, cost, elasticity, operational control)
- Which technologies are emerging as “ones to watch”? (native/vectorized backends, embeddable engines, multi-engine patterns)
- Which compute options are available today? (single-node, distributed, serverless, customer-managed)
When: November 18, 15:00 CEST; 14:00 BST; 09:00 EDT
Duration: 1h, Online on Zoom
Meet the Speakers:
Marek Wiewiórka
Chief Data Architect, Xebia
Assistant at Warsaw University of Technology
Marek is a seasoned Big Data and Cloud Architect with 15+ years of experience in designing and implementing modern data and MLOps platforms. Currently, he is the Chief Data Architect at Xebia, and a Research Assistant at Warsaw University of Technology, putting the finishing touches to his PhD dissertation. Privately - a keen long-distance runner, gravel bikes enthusiast, and absolutely in love with the Italian Lakes!
Radosław Szmit
Data Platform Architect, Xebia
Experienced Data Platform Architect with over 11 years in designing and implementing scalable data solutions. Proficient in data transformation and advanced analytics, database management, stream processing and cloud solutions. Key achievements include leading successful data platform implementations and driving data migration projects. Big Data trainer, blogger and conference speaker.
Toward Data Lakehouse Architecture
Data Lakehouse seems to be a new buzzword; everyone wants it, but does everyone need it? In many cases, Data Lakehouse will be a perfect solution, but not always, and not just any Data Lakehouse. In this Webinar Series, we want to get closer to the Data Lakehouse concept, what problems it addresses, and how to design its architecture to make it the holy grail.
Watch previous TDLA Webinars and discover the concept of Open Data Lakehouse.