For Starters with Alexa von Tobel
How to Make Good Moves with Jay Kreps of Confluent
Jul 13, 2022
Jay Kreps, Co-founder of Confluent and creator of Apache Kafka, discusses the significance of real-time data, the challenges businesses face in accessing it, and the transition from batch processing to real-time continuous processing. He shares his unique childhood and unconventional career path, as well as the struggles of transitioning from a tech leader to a CEO of a publicly traded company. The chapter also covers their IPO journey, interest in sustainable energy, and a recommendation to check out Confluent.io.
32:17
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Quick takeaways
- Confluent's open-source project, Apache Kafka, enables real-time data flow and reaction, bridging the gap between different applications and systems in a holistic manner, making it a key component in digital infrastructure for companies like Netflix, Uber, and Airbnb.
- Embracing the shift from static data to dynamic, constantly flowing data is fundamental for businesses to improve decision-making, optimize processes, and deliver a more personalized and responsive customer experience.
Deep dives
Overview of Confluent and Real-time Data Processing
Confluent is a company that specializes in processing real-time streams of data, helping organizations utilize continuously flowing data to make smarter decisions. The modern software stack relies on real-time data and the ability to react and interact with various applications and systems. This was a pain point in data management that led to the development of Confluent's open-source project, Apache Kafka. Kafka enables real-time data flow and reaction, bridging the gap between different applications and systems in a holistic manner. Companies like Netflix, Uber, and Airbnb have embraced this open-source solution, making it a key component in their digital infrastructure.
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