Apache Flink - Overkill for Simple Stateless Stream Processing
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Apache Flink: Overkill for Simple, Stateless Stream Processing and ETL?

Discover when Apache Flink is the right tool for your stream processing needs. Explore its role in stateful and stateless processing, the advantages of serverless Flink SaaS solutions like Confluent Cloud, and how it supports advanced analytics and real-time data integration together with Apache Kafka. Dive into the trade-offs, deployment options, and strategies for leveraging Flink effectively across cloud, on-premise, and edge environments, and when to use Kafka Streams or Single Message Transforms (SMT) within Kafka Connect for ETL instead of Flink.
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When NOT to use Apache Kafka
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When NOT to Use Apache Kafka? (Lightboard Video)

Apache Kafka is the de facto standard for data streaming to process data in motion. With its significant adoption growth across all industries, I get a very valid question every week: When NOT to use Apache Kafka? What limitations does the event streaming platform have? When does Kafka simply not provide the needed capabilities? How to qualify Kafka out as it is not the right tool for the job? This blog post contains a lightboard video that gives you a twenty-minute explanation of the DOs and DONTs.
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Streaming ETL with Apache Kafka in Healthcare
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Streaming ETL with Apache Kafka in the Healthcare Industry

IT modernization and innovative new technologies change the healthcare industry significantly. This blog series explores how data streaming with Apache Kafka enables real-time data processing and business process automation. This is part three: Streaming ETL. Examples include Babylon Health and Bayer.
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Apache Camel vs Apache Kafka Comparison
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When to use Apache Camel vs. Apache Kafka?

Should I use Apache Camel or Apache Kafka for my next integration project? The question is very valid and comes up regularly. This blog post explores both open-source frameworks and explains the difference between application integration and event streaming. The comparison discusses when to use Kafka or Camel, when to combine them, when not to use them at all. A decision tree shows how you can quickly qualify out one for the other.
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SIEM and SOAR Modernization with Apache Kafka Elasticsearch Splunk QRadar Arcsight Cortex
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Kafka for Cybersecurity (Part 6 of 6) – SIEM / SOAR Modernization

This blog series explores use cases and architectures for Apache Kafka in the cybersecurity space, including situational awareness, threat intelligence, forensics, air-gapped and zero trust environments, and SIEM / SOAR modernization. This post is part six: SIEM / SOAR modernization and integration.
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Cyber Threat Intelligence with Apache Kafka and SIEM SOAR Machine Learning
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Kafka for Cybersecurity (Part 3 of 6) – Cyber Threat Intelligence

This blog series explores use cases and architectures for Apache Kafka in the cybersecurity space, including situational awareness, threat intelligence, forensics, air-gapped and zero trust environments, and SIEM / SOAR modernization. This post is part three: Cyber Threat Intelligence.
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Apache Kafka and MQTT - Match Made in Heaven
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Apache Kafka and MQTT (Part 1 of 5) – Overview and Comparison

Apache Kafka and MQTT are a perfect combination for many IoT use cases. This blog series covers various use cases across industries including connected vehicles, manufacturing, mobility services, and smart city. This is part 1: Overview + Comparison.
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Postmodern ERP with Apache Kafka
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Building a Postmodern ERP with Apache Kafka

Postmodern ERP represents the next generation of ERP architectures. It is real-time, scalable, and open by using a combination of open source technologies and proprietary standard software. This blog post explores why and how companies, both software vendors and end-users, leverage event streaming with Apache Kafka to implement a Postmodern ERP.
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