Strategic partnerships don’t work without trust. And in the data streaming world, trust begins with transparency. Confluent’s Elena Cuevas breaks down the art of cloud partnerships in the world of data streaming. From AWS to Azure, she reveals how collaboration—not competition—drives customer value at scale.

Allium’s CEO, Ethan Chan, reveals how Confluent’s data streaming platform helps them deliver clean, real-time blockchain data across nearly 100 chains, and why building your own infrastructure just doesn’t scale.

Joe Pardi of Covetrus shares how they unified data systems post-M&A and reduced latency by building a streaming-first architecture on Confluent Cloud to power real-time decision making in animal health technology.

AI agents are already here, reshaping how data moves. In this episode, Airy’s Co-founder and CEO, Steffen Hoellinger, shares how his team uses real-time data streaming with Confluent to power agentic AI and deliver faster, smarter decisions at scale.

When legacy systems failed during critical union votes, APFA’s Todd Smitala, technology solutions architect, led a high-stakes real-time data transformation. Learn how Confluent Cloud enables a data streaming platform to support 27,000 flight attendants with speed, scale, and reliability.

Whether you're an executive setting the strategy or an architect building the backbone, alignment is the key to turning transformation from a buzzword into results. Rick Hernandez, principal technical architect at EY, shares how to unlock shared vision and turn it into enterprise-wide data streaming success.

Want your real-time data streaming initiative to stick? Success hinges on more than pipelines—it’s about people, governance, and business impacts. Jeffrey Johnathon Jennings (J3), managing principal at signalRoom, shares how to bring it all together.

Despite its value, legacy data can feel like a roadblock in a fast-paced digital world—Henry Schein One is clearing the path forward with real-time data streaming.

In the final episode of our 3-part series on the basics of data streaming, we take a deep dive into data integration—covering everything from data governance to data quality.

We’re diving even deeper into the fundamentals of data streaming to explore stream processing—what it is, the best tools and frameworks, and its real-world applications.

Our first episode breaks down the basics of data streaming—from what it is, to its pivotal role in processing and transferring data in a fast-paced digital environment.