Dashboards and Queries for Apache Kafka and the Role of Context Engine for Agentic AI and Humans
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Dashboards and Queries for Apache Kafka: Operational, Explorative, and the Role of the Context Engine

Dashboards are a popular way to make streaming data visible and useful, but they are not always the right solution. This blog post explains when dashboards make sense for Apache Kafka data and when other approaches like automation, process intelligence, or agentic AI are better suited. It outlines the three main types of queries: operational, explorative, and dashboard serving. Each type requires a different architectural approach. The post highlights the importance of data quality, schemas, and governance as the foundation for reliable systems and introduces the role of a context engine in serving both human users and AI agents. Readers will learn how to choose the right solution based on business goals, not on tool preferences.
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Lakehouse and Data Streaming - Competitor or Complementary
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How Microsoft Fabric Lakehouse Complements Data Streaming (Apache Kafka, Flink, et al.)

In today’s data-driven world, understanding data at rest versus data in motion is crucial for businesses. Data streaming frameworks like Apache Kafka and Apache Flink enable real-time data processing. Meanwhile, lakehouses like Snowflake, Databricks, and Microsoft Fabric excel in long-term data storage and detailed analysis, perfect for reports and AI training. This blog post explores how these technologies complement each other in enterprise architecture.
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Apache Camel and Talend ESB: Management and Monitoring of Integration Routes and SOAP / REST Web Services (JMX, OSGi, logstash, ElasticSearch, Kibana, hawtio)

A question every customer asks me: How can you manage and monitor integration routes implemented with Apache Camel and / or Talend ESB (which is based on Apache Camel and also available as open source version). This blog post will show different alternatives to answer this question. The good news first: As Apache Camel and Talend ESB are based on open standards, you can use your own frameworks and tools if tooling of the product is not sufficient. So, I will not talk just about features of Apache Camel or Talend ESB, but also about additional options.
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