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Troubleshooting Kafka In Production

Data Engineering Podcast

Summary Kafka has become a ubiquitous technology, offering a simple method for coordinating events and data across different systems. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles. Can you describe your experiences with Kafka?

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Beyond Kafka: Conversation with Jark Wu on Fluss - Streaming Storage for Real-Time Analytics

Data Engineering Weekly

It addresses many of Kafka's challenges in analytical infrastructure. The combination of Kafka and Flink is not a perfect fit for real-time analytics; the integration of Kafka and Lakehouse is very shallow. How do you compare Fluss with Apache Kafka? Fluss and Kafka differ fundamentally in design principles.

Kafka 73
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Realtime Data Applications Made Easier With Meroxa

Data Engineering Podcast

In this episode DeVaris Brown discusses the types of applications that are possible when teams don't have to manage the complex infrastructure necessary to support continuous data flows. Can you describe what Meroxa is and the story behind it? How have the focus and goals of the platform and company evolved over the past 2 years?

Data Lake 277
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Easier Stream Processing On Kafka With ksqlDB

Data Engineering Podcast

The ksqlDB project was created to address this state of affairs by building a unified layer on top of the Kafka ecosystem for stream processing. Developers can work with the SQL constructs that they are familiar with while automatically getting the durability and reliability that Kafka offers. How is ksqlDB architected?

Kafka 100
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Stress Testing Kafka And Cassandra For Real-Time Anomaly Detection

Data Engineering Podcast

Scaling the volume of events that can be processed in real-time can be challenging, so Paul Brebner from Instaclustr set out to see how far he could push Kafka and Cassandra for this use case. Can you start by describing the problem that you were trying to solve and the requirements that you were aiming for?

Kafka 100
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Data Management Trends From An Investor Perspective

Data Engineering Podcast

Summary The landscape of data management and processing is rapidly changing and evolving. This is a useful conversation to gain a macro perspective on where businesses are looking to improve their capabilities to work with data. If you hand a book to a new data engineer, what wisdom would you add to it?

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Simplifying Data Architecture and Security to Accelerate Value

Snowflake

Ingest data more efficiently and manage costs For data managed by Snowflake, we are introducing features that help you access data easily and cost-effectively. This reduces the overall complexity of getting streaming data ready to use: Simply create external access integration with your existing Kafka solution.