Systems | Development | Analytics | API | Testing

Was the ELT bandwagon a mistake? Mike Agnich, General Manager, Data Streaming Platform at Confluent talks about why real-time ETL saves you from expensive headaches.

Data contracts aren't just a buzzword—David Araujo, Director of Product Management at Confluent, explains they’ve been hiding in Apache Kafka all along.

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. Our guests, Mike Agnich, General Manager of Data Streaming Platform, and David Araujo, Director of Product Management at Confluent, explain why connectors are must-haves for integrating systems.

Flink’s secret weapon? Abhishek Walia, Staff Customer Success Technical Architect at Confluent, says it’s flexibility—whether you’re a developer, data scientist, or DBA.

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 guests, Anna McDonald, Distinguished Technical Voice of the Customer at Confluent, and Abhishek Walia, Staff Customer Success Technical Architect at Confluent, break down what stream processing is, how it differs from batch processing, and why tools like Flink are game changers.

How do you build systems that keep up with a nonstop flood of data? Anna McDonald, Distinguished Technical Voice of the Customer at Confluent, explains how.

Finding pain is key to starting your real-time data streaming journey, as Tim Berglund, VP of Developer Relations at Confluent, shares.

Power AI-driven decision-making with Confluent’s Data Streaming Platform and Databricks’ Data Intelligence Platform. Watch this step-by-step demo to learn how to build a real-time social media AI chatbot that instantly engages with customer posts, like product reviews. New to Confluent? Experience unified Apache Kafka and Apache Flink with a free trial.