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Spring for Apache Kafka Deep Dive – Part 3: Apache Kafka and Spring Cloud Data Flow

Confluent

Following part 1 and part 2 of the Spring for Apache Kafka Deep Dive blog series, here in part 3 we will discuss another project from the Spring team: Spring Cloud Data Flow , which focuses on enabling developers to easily develop, deploy, and orchestrate event streaming pipelines based on Apache Kafka ®.

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Build AI-powered Recommendations with Confluent Cloud for Apache Flink® and Rockset

Rockset

That’s why we’re thrilled that Confluent Cloud is making it easier to use Flink, providing efficient and performant stream processing while saving engineers from complex infrastructure management. Why use Confluent Cloud for Apache Flink and Rockset for RAG? We setup a Kafka producer to publish events to a Kafka cluster.

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How to Connect KSQL to Confluent Cloud using Kubernetes with Helm

Confluent

Confluent Cloud, a fully managed event cloud-native streaming service that extends the value of Apache Kafka ® , is simple, resilient, secure, and performant, allowing you to focus on what is important—building contextual event-driven applications, not infrastructure. Helm Chart configuration for Confluent Cloud.

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Happy Birthday, CDP Public Cloud

Cloudera

On September 24, 2019, Cloudera launched CDP Public Cloud (CDP-PC) as the first step in delivering the industry’s first Enterprise Data Cloud. Over the past year, we’ve not only added Azure as a supported cloud platform, but we have improved the orginal services while growing the CDP-PC family significantly: Improved Services.

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Real-Time CDC With Rockset And Confluent Cloud

Rockset

Folks have definitely tried, and while Apache Kafka® has become the standard for event-driven architectures, it still struggles to replace your everyday PostgreSQL database instance in the modern application stack. Confluent Cloud is also a great choice for storing real-time CDC events.

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Data Engineering Weekly #141

Data Engineering Weekly

😃🎊 Click here to Register for DEWCon - 2023 → 🤺Hot Take on The Great Orchestration Battle for Data Land ⚔️ Last week a sequence of blog posts revealed the underlying ambition of the data orchestration companies. the best way to run dbt Core in Airflow.

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Using Graph Processing for Kafka Stream Visualizations

Confluent

We know that Apache Kafka ® is great when you’re dealing with streams, allowing you to conveniently look at streams as tables. Kafka already allows you to look at data as streams or tables; graphs are a third option, a more natural representation with a lot of grounding in theory for some use cases. 8, and so on.

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