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Real-Time Sentiment Analysis with Kafka and PySpark

Towards AI

Within this article, we will explore the significance of these pipelines and utilise robust tools such as Apache Kafka and Spark to manage vast streams of data efficiently. What is Real-Time Data Processing? Let's take a better look at the key components: Producers: They publish/push records to Kafka topics.

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Apache Kafka and Apache Flink: An open-source match made in heaven

IBM Journey to AI blog

Apache Kafka and Apache Flink working together Anyone who is familiar with the stream processing ecosystem is familiar with Apache Kafka: the de-facto enterprise standard for open-source event streaming. With Apache Kafka, you get a raw stream of events from everything that is happening within your business.

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How to Unlock Real-Time Analytics with Snowflake?

phData

In this blog, we’ll show you step-by-step how to achieve real-time analytics with Snowflake via the Kafka Connector and Snowpipe. What is Apache Kafka, and How is it Used in Building Real-time Data Pipelines? Apache Kafka is an open-source event distribution platform.

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

IBM Journey to AI blog

For 30 years, IBM MQ users have realized the immense value of investing in this secure messaging technology—but what if it could go further? IBM MQ boasts the ability to seamlessly integrate with other processing tools with its connectors (including Kafka connectors), APIs and standard messaging protocols.

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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. Apache Kafka transfers data without validating the information in the messages.

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Getting started with Kafka client metrics

IBM Journey to AI blog

Apache Kafka stands as a widely recognized open source event store and stream processing platform. One key advantage of opting for managed Kafka services is the delegation of responsibility for broker and operational metrics, allowing users to focus solely on metrics specific to applications.

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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. Whether you are starting from scratch or looking to take the next step, IBM can help extend and add value to what you already have.

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