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Better, Faster, Stronger: How New Releases Are Combatting Kafka’s Scalability Hurdles

Better, Faster, Stronger: How New Releases Are Combatting Kafka’s Scalability Hurdles

Apache Kafka is a popular distributed streaming platform for building real-time data pipelines and streaming applications. It's known for its high throughput, scalability, and fault tolerance. It's of...

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Data management: Overcoming the challenges of your fragmented data landscape

Data management: Overcoming the challenges of your fragmented data landscape

You have surely noticed that there are many different types of data in your company. These differ, for example, in their source, format, quality, quantity, maturity, and potential for your business. T...

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Data democratization - Privacy in streaming architectures

Data democratization - Privacy in streaming architectures

Today, companies see, on the one hand, a growing need for data streaming, but on the other hand, they have to follow new privacy regulations. This dilemma challenges businesses to find intelligent dat...

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A privacy-preserving approach in data streaming architecture

A privacy-preserving approach in data streaming architecture

The (near-)real-time business insights based on continuous data streams are in ever-growing demand. Stream processing and analytics have the potential to improve companies' competitiveness considerabl...

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Metadata management in data fabric architectures

Metadata management in data fabric architectures

Metadata management in data fabric In the second blog article of the metadata blog series, we explained why previously proven approaches are no longer suitable to handle today's metadata management. A...

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Approaches on how to Tackle Metadata Management Challenges

Approaches on how to Tackle Metadata Management Challenges

In our previous blog article about metadata management, we explained why the way of handling data has brought up a need to change the way we do it. In order to continue describing data in a meaningful...

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