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Apache Kafka use cases: Driving innovation across diverse industries

IBM Journey to AI blog

Apache Kafka is an open-source , distributed streaming platform that allows developers to build real-time, event-driven applications. With Apache Kafka, developers can build applications that continuously use streaming data records and deliver real-time experiences to users. How does Apache Kafka work?

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Streaming Machine Learning Without a Data Lake

ODSC - Open Data Science

Be sure to check out his talk, “ Apache Kafka for Real-Time Machine Learning Without a Data Lake ,” there! The combination of data streaming and machine learning (ML) enables you to build one scalable, reliable, but also simple infrastructure for all machine learning tasks using the Apache Kafka ecosystem.

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Level up your Kafka applications with schemas

IBM Journey to AI blog

Apache Kafka is a well-known open-source event store and stream processing platform and has grown to become the de facto standard for data streaming. Apache Kafka transfers data without validating the information in the messages. Learn more about Kafka and its use cases here. What is a schema registry?

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Big data engineering simplified: Exploring roles of distributed systems

Data Science Dojo

In the next sections of this blog, we will delve deeper into the technical aspects of Distributed Systems in Big Data Engineering, showcasing code snippets to illustrate how these systems work in practice. Clusters : Clusters are groups of interconnected nodes that work together to process and store data.

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The winning combination for real-time insights: Messaging and event-driven architecture

IBM Journey to AI blog

However, IBM MQ and Apache Kafka can sometimes be viewed as competitors, taking each other on in terms of speed, availability, cost and skills. MQ and Apache Kafka: Teammates Simply put, they are different technologies with different strengths, albeit often perceived to be quite similar. Interested in learning more?

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Event-driven architecture (EDA) enables a business to become more aware of everything that’s happening, as it’s happening 

IBM Journey to AI blog

They often use Apache Kafka as an open technology and the de facto standard for accessing events from a various core systems and applications. IBM provides an Event Streams capability build on Apache Kafka that makes events manageable across an entire enterprise.

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How to Unlock Real-Time Analytics with Snowflake?

phData

If you have the Snowflake Data Cloud (or are considering migrating to Snowflake ), you’re a blog away from taking a step closer to real-time analytics. In this blog, we’ll show you step-by-step how to achieve real-time analytics with Snowflake via the Kafka Connector and Snowpipe. Looking for additional help?