Lakeflow Connect: eliminating hops in your streaming architecture

In this session, we’ll explore new patterns that simplify real-time data ingestion into your lakehouse — especially for sources like IoT, clickstreams, telemetry and more. We’ll begin with a quick look at the evolution of the ingestion landscape and the growing need to embed data flows closer to the source. Then, we’ll introduce a modern approach that helps you “shift left” on ingestion — making it easier to integrate analytics and AI directly into operational systems, rather than treating them as afterthoughts. This shift can lead to simpler architectures that reduce unnecessary hops and scale with your operations. To close, we’ll share a practical decision framework to help you determine which ingestion options best fit your use case, followed by a live Q&A to help you get started quickly.

Talk By: Nikola Obradovic, Sr. Staff Software Engineer, Databricks ; Victoria Bukta, Member of Technical Staff, Databricks

Here’s more to explore:
Production ready data pipelines for analytics and AI: https://www.databricks.com/solutions/data-engineering
The Big Book of Data Engineering: https://www.databricks.com/resources/ebook/big-book-data-engineering-2nd-edition
See all the product announcements from Data + AI Summit: https://www.databricks.com/events/dataaisummit-2025-announcements

Connect with us: Website: https://databricks.com
Twitter: https://twitter.com/databricks
LinkedIn: https://www.linkedin.com/company/databricks
Instagram: https://www.instagram.com/databricksinc
Facebook: https://www.facebook.com/databricksinc

Видео Lakeflow Connect: eliminating hops in your streaming architecture канала Databricks