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Apache Kafka

262 posts
Data Streaming and AI Telco Trends at MWC 2026 in Barcelona
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  • 8 minute read

Data Streaming at MWC 2026: How Apache Kafka, Flink and Agentic AI Power Telecom Trends

Mobile World Congress (MWC) 2026 highlights the shift from batch systems to real time data streaming in telecom. AI and agentic automation, network APIs, sovereign cloud, autonomous networks, and 5G monetization all depend on continuous, governed data flows at scale. A Data Streaming Platform built on Apache Kafka and Apache Flink enables operators to collect, process, and act on live data across network and business systems. It provides the foundation for applied AI, SLA enforcement, API monetization, and usage based billing. MWC shows that telecom innovation and measurable business value now rely on real time data streaming.
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Qantas Airline Data Streaming Platform with Apache Kafka for Airline Operations
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  • 5 minute read

From Takeoff to Touchdown: Real-Time Aviation with Data Streaming at Qantas

This blog post explores how data streaming transforms airline operations by enabling real-time visibility, faster decision-making, and improved customer experience. Using Qantas as a leading example, it highlights how a modern data streaming platform powered by Apache Kafka supports flight operations, crew coordination, baggage handling, and airport collaboration. It also explains technical integrations using Kafka Connect for AIDX message processing. The Qantas story illustrates how real-time data creates tangible business value across the aviation industry.
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Introduction Queues for Kafka - Apache Kafka QfK - One Platform for Event Streaming and Message Queues Consolidation
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  • 10 minute read

When (Not) to Use Queues for Kafka?

Apache Kafka has long been the foundation for real-time data streaming. With the release of Queues for Kafka (QfK) in Apache Kafka 4.2, it now also supports native queuing, eliminating the need for separate message queue systems for backend integration and task processing. This blog explores how Kafka bridges the gap between stream processing and message queuing, when (not) to use QfK, and how it enables a unified cloud-native integration platform for modern enterprise architectures.
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Diskless Kafka at FinTech Robinhood for Cost-Efficient Log Analytics and Observability with WarpStream
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Diskless Kafka at FinTech Robinhood for Cost-Efficient Log Analytics and Observability

Diskless Kafka is transforming how fintech and financial services organizations handle observability and log analytics. By using the Kafka protocol with cloud-native object storage, companies like Robinhood reduce infrastructure costs and gain elastic scalability. This article explores how Robinhood leverages Kafka, Flink, and WarpStream to build a real-time platform that supports trading, monitoring, and compliance at scale.
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Data Streaming in Automotive Industry with Apache Kafka and Flink for Connected Vehicles Cars using Shift Left Architecture Telemetry Signal Processing
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  • 9 minute read

Shift Left in Automotive: Real-Time Intelligence from Vehicle Telemetry with Data Streaming at Rivian

Rivian and Volkswagen, through their joint venture RV Tech, process high-frequency telemetry from connected vehicles using Apache Kafka and Apache Flink. With a shift left architecture and smart filtering, they reduced data volume by 88 percent and enabled over 250 downstream consumer applications to access curated data products. This blog explores how RV Tech transforms raw vehicle data into real-time intelligence, supporting use cases across engineering, operations, and customer experience.
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Real Time Airline Operations at Etihad Airways with Data Streaming Using Apache Kafka and Flink
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Etihad Airways Makes Airline Operations Real-Time with Data Streaming

Airlines face constant pressure to deliver reliable service while managing complex operations and rising customer expectations. This blog post explores how Etihad Airways uses real-time data streaming with Apache Kafka and Flink to improve operational efficiency and passenger experience. Based on a presentation at the Data Streaming World Tour in Dubai, it highlights how Etihad built an event-driven platform to move from delayed insights to real-time action. The post also connects this story to other data streaming success cases in the aviation industry, including Lufthansa , Cathay Pacific, Virgin Australia, and Schiphol Airport in Amsterdam.
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Data Streaming Trends for 2026 with Apache Kafka Flink Diskless Cloud Agentic AI
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  • 9 minute read

Top Trends for Data Streaming with Apache Kafka and Flink in 2026

Each year brings new momentum to the data streaming space. In 2026, six key trends stand out. Platforms and vendors are consolidating. Diskless Kafka and Apache Iceberg are reshaping storage. Real-time analytics is moving into the stream. Enterprises demand zero data loss and regional compliance. Streaming is now powering operational AI with real-time context. Data streaming has evolved. It is now strategic infrastructure at the heart of modern enterprise systems.
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  • 16 minute read

The Data Streaming Landscape 2026

Data streaming is now a core software category in modern data architecture. It powers real-time use cases like fraud prevention, personalization, supply chain optimization, and AI automation. What started with open source Apache Kafka and Flink has grown into a critical layer for business operations. The 2026 Data Streaming Landscape shows the most relevant Data Streaming Platform evolution. These platforms connect systems, process data in motion, enforce governance, and support mission-critical workloads at scale. Kafka is the standard protocol, but protocol support alone is not enough. Enterprises need full feature compatibility, 24/7 support, and expert guidance for security, resilience, and cloud strategy.
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Automotive Innovation with Data Streaming using Apache Kafka Flink Confluent at CARIAD Volkswagen Group VW
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CARIAD’s Unified Data Platform: A Data Streaming Automotive Success Story Behind Volkswagen’s Software-Defined Vehicles

The automotive industry transforms rapidly. Cars are now software-defined vehicles (SDVs) that demand constant, real-time data flow. This post highlights the CARIAD success story inside the Volkswagen Group. CARIAD tackled data fragmentation. It built the Unified Data Ecosystem (UDE). Learn how Confluent’s data streaming platform, powered by Apache Kafka and Flink, serves as the central nervous system. This platform connects millions of vehicles and cloud services globally. The event-driven architecture helps CARIAD achieve faster development, meet compliance (like the EU Data Act), and reduce costs. The platform unlocks high-value use cases, such as predictive maintenance and AI-powered fleet management.
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Data Streaming Meets Data Lake and Lakehouse with Apache Iceberg and Delta Lake
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Data Streaming Meets Lakehouse: Apache Iceberg for Unified Real-Time and Batch Analytics

Apache Iceberg is gaining momentum as the open table format of choice for modern data architectures. In this blog post, the key takeaways from my talk at Open Source Data Summit are shared, along with the full video and downloadable slides. The session explores how Iceberg fits into real-time data streaming with Apache Kafka and Flink, why streaming into a data lake is complex, and what patterns actually work in production. It also covers technical challenges like schema evolution, compaction, and governance — and how to solve them. Watch the session, review the slides, and learn how Iceberg helps build reliable, streaming-powered data products at scale.
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