Systems | Development | Analytics | API | Testing

Without a top-down shared vision from executivesexecs to engineers, even the best technologytech stack won't save your data transformation. Rick Hernandez of EY explains why alignment is everything.

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. In this episode, Rick joins Joseph to explore how organizations can connect leadership ambition with technical execution. Exploring how top-down buy-in, clearly defined objectives, and strategic alignment with the right technology can give your organization “wings to a tiger.”

Integrating Tableflow and Iceberg tables streamlines the process of linking to external data lakes and data warehouses. Jeffrey Johnathan Jennings of signalRoom explains how this approach accelerates time to insight while ensuring a more efficient and cost-effective data architecture.

How to win over skeptics of data streaming? As Jeffrey Johnathan Jennings of signalRoom says, show them how shifting processes upstream can revolutionize operations.

Lenses Community Edition is a completely free Kafka tool to blaze your path to production with data streams.

Lenses Community Edition is a completely free Kafka tool to blaze your path to production with data streams.

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. In this episode, J3 shares how he’s used impactful proofs of concepts to demonstrate value early, then scaled effectively through shift left with governance and stronger cross-team collaboration.

Jeffrey Johnathan Jennings of signalRoom shares how Schema Registry and custom Apache Kafka libraries cut the complexity for teams and make building microservices a breeze.