Kafka can autoscale guarantee resilience minimize operational overhead secure your data save you money.

Event-driven microservices offer an optimal approach to harnessing event streams, reacting and responding to changes as they occur across your company. With this fully revised and... - Selection from ...

A shift left approach to data processing relies on data products that form the basis of data communication across the business. This addresses many flaws in traditional data processing and makes data more relevant, complete, and trustworthy.

A shift left approach to data processing relies on data products that form the basis of data communication across the business. This addresses many flaws in traditional data processing and makes data ...

Discover more about what's new at AWS with Announcing Amazon S3 Tables – Fully managed Apache Iceberg tables optimized for analytics workloads

Apache Iceberg has recently emerged as the de facto open-table standard for large-scale datasets, with a thriving community and support from many of the

AWS announced S3 Tables today, which brings native support for Apache Iceberg to S3. It’s hard to overstate how exciting this is for the data analytics ecosystem. This post is a quick rundown of my th...

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This article covers the degree of normalization when using events created from a relational source, and how to go about denormalizing them.

For this month's top ten, Lindsay MacDonald from Monte Carlo asks a critical question: Is data ready for GenAI? While AI seems ready to take off, are our data foundations really prepared? Let’s find o...

Discover how to build resilient data pipelines with Confluent Data Portal. Learn essential strategies for isolating upstream systems and empowering downstream consumers.

Apache Kafka topics are immutable, so you can’t edit or delete their data. But there are a few things you can do to fix bad data in event streams.

YouTube video by Confluent