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Apache Kafka use cases: Driving innovation across diverse industries

IBM Journey to AI blog

Producers and consumers A ‘producer’, in Apache Kafka architecture, is anything that can create data—for example a web server, application or application component, an Internet of Things (IoT) , device and many others. Here are a few of the most striking examples.

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Serverless use cases: How enterprises are using the technology to let developers innovate

IBM Journey to AI blog

Today, all leading CSPs, including Amazon Web Services (AWS Lambda), Microsoft Azure (Azure Functions) and IBM (IBM Cloud Code Engine) offer serverless platforms. Today, serverless helps developers build scalable big data pipelines without having to manage the underlying infrastructure.

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Administering Data Fabric to Overcome Data Management Challenges.

Smart Data Collective

Recognizing the potential of data, organizations are trying to extract values from their data in various ways to create new revenue streams and reduce the cost and resources required for operations. The increased amounts and types of data, stored in various locations eventually made the management of data more challenging.

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Training Models on Streaming Data [Practical Guide]

The MLOps Blog

This pipeline facilitates the smooth, automated flow of information, preventing many problems that enterprises face, such as data corruption, conflict, and duplication of data entries. A streaming data pipeline is an enhanced version which is able to handle millions of events in real-time at scale. Happy Learning!