Remove replicated-event-driven-architectures-for-hybrid-cloud-kafka
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What is Streaming Analytics?

Cloudera

It continuously processes data from multiple streams and performs simple calculations to complex event processing for delivering sophisticated use cases. The primary purpose is to present the most up-to-date operational events for the user to stay on top of the business needs and take action as changes happen in real-time.

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Top 4 Reasons Why You Should Upgrade Your Stream Processing Workloads To CDP

Cloudera

We’ve seen organizations invest in big data solutions, and now, we’ve increasingly seen them want to build on that investment and move towards building a modern architecture that’ll help them leverage stream processing and streaming analytics. Cloudera Data Platform (CDP) is the new data cloud built for the enterprise.

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Reliable Data Exchange with the Outbox Pattern and Cloudera DiM

Cloudera

Introduction Many modern application designs are event-driven. An event-driven architecture enables minimal coupling, which makes it an optimal choice for modern, large-scale distributed systems. Send an event to notify other services about the new order. InventoryService) or processing a payment (eg.

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The Good and the Bad of Apache Kafka Streaming Platform

Altexsoft

Kafka can continue the list of brand names that became generic terms for the entire type of technology. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. What is Kafka? How Apache Kafka streams relate to Franz Kafka’s books. What Kafka is used for.

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Data Product Strategies: How Cloudera Helps Realize and Accelerate Successful Data Product Strategies

Cloudera

For example, the Cloudera Data Flow experience offers an integrated event processing capability to deliver low-latency analytics by combining Flow Management (using Apache NiFi), Streams Messaging (using Apache Kafka) and Stream Processing / Analytics (using Apache Flink / SQL Stream Builder). Introduction.