Streaming into the Future: Architecting for Real-Time Data Insights

From the same track

Session Data Architecture

Reliable Data Flows and Scalable Platforms: Tackling Key Data Challenges

Wednesday Apr 9 / 10:35AM BST

There are a few common and mostly well-known challenges when architecting for data. For example, many data teams struggle to move data in a stable and reliable way from operational systems to analytics systems.

Speaker image - Matthias Niehoff

Matthias Niehoff

Head of Data and Data Architecture @codecentric AG, iSAQB Certified Professional for Software Architecture

Session Data engineering

Building a Global Scale Data Platform with Cloud-Native Tools

Wednesday Apr 9 / 01:35PM BST

As businesses increasingly operate in hybrid and multi-cloud environments, managing data across these complex setups presents unique challenges and opportunities. This presentation provides a comprehensive guide to building a global-scale data platform using cloud-native tools.

Speaker image - George Hantzaras

George Hantzaras

Engineering Director, Core Platforms @MongoDB, Open Source Ambassador, Published Author

Session

Achieving Precision in AI: Retrieving the Right Data Using AI Agents

Wednesday Apr 9 / 11:45AM BST

In the race to harness the power of generative AI, organizations are discovering a hidden challenge: precision.

Speaker image - Adi Polak

Adi Polak

Director, Advocacy and Developer Experience Engineering @Confluent, Author of "Scaling Machine Learning with Spark" and "High Performance Spark 2nd Edition"

Session

Apache Iceberg: Powering the Future of Modern Data Architectures

Wednesday Apr 9 / 03:55PM BST

As organizations scale their data platforms, traditional data lake architectures often struggle with issues such as data consistency, schema evolution, performance, and governance.