06.05, Katowice AWS Summit Poland
Warsaw, PGE National Stadium View on map

Cloud architecture patterns for modern data engineering

During the Data Science Summit, we introduced the audience to cloud architecture patterns for modern data engineering on AWS, covering some of its key paradigms, such as: data lakes, data warehouses, and data lakehouses — including practical demos of these concepts.

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Agenda

  1. Well-designed data architecture
  2. Data paradigms and movement strategies
  3. Cloud building blocks
  4. Architecture patterns for data engineering on AWS

Key topics

  • the key attributes of stand-out data architectures;
  • various data paradigms — such as: data lakes, data warehouses, and data lakehouses — plus efficient data movement strategies;
  • core elements of cloud data architecture and how they form the building blocks of robust data solutions;
  • practical architecture patterns for modern data engineering on AWS, showcasing real-world implementation of these scenarios.

Speaker

Rafał Mituła

Rafał Mituła AWS Community Hero

Tech Lead, Data & AI

Cloud Data Architect and Engineer in Chaos Gears’ Data & AI team. Always eager to tackle new challenges and find innovative and effective solutions.

Distinguished as an AWS Hero, Rafał is actively involved in the AWS community by co-organising the AWS User Group Warsaw meetups and the AWS Community Day Poland conference.

Amazon Athena

Notes

  • The event took place at the PGE National Stadium in Warsaw (Księcia Józefa Poniatowskiego 1).
  • Tickets were limited and required registration.
  • The Data Science Summit is the largest data conference in the CEE region, attracting over 2,500 participants. With a lineup of 200+ talks, the agenda covered the latest trends, cutting-edge solutions and real-world production experiences in fields like machine learning, data mining, big data, data management and quantum computing. Lectures were conducted in Polish and English.
  • Any questions? Get in touch.

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