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Apache Flink

72 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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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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  • 5 minute read

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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Stream Processing on the IBM Mainframe with Apache Flink - Genius or a Glitch in the Matrix
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  • 6 minute read

Stream Processing on the Mainframe with Apache Flink: Genius or a Glitch in the Matrix?

Running Apache Flink on a mainframe may sound surprising, but it is already happening and for good reason. As modern mainframes like IBM z17 evolve to support Linux, Kubernetes, and AI workloads, they are becoming a powerful platform for real-time stream processing. This blog explores why enterprises are deploying Apache Flink on IBM LinuxONE, how it works in practice, and what business value it brings. With Kafka providing the data backbone, Flink enables intelligent processing close to where business-critical data lives. The result is a modern hybrid architecture that connects core systems with cloud-based innovation without needing to fully migrate off the mainframe.
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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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Automotive Innovation with Data Streaming using Apache Kafka Flink Confluent at CARIAD Volkswagen Group VW
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  • 6 minute read

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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  • 5 minute read

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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Stablecoins and Data Streaming with Kafka and Flink for Digital Money and Currency USDC USDT Blockchain
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  • 10 minute read

How Stablecoins Use Blockchain and Data Streaming to Power Digital Money

Stablecoins are reshaping digital money by linking traditional finance with blockchain technology. Built for stability and speed, they enable real time payments, settlements, and programmable financial services. To operate reliably at scale, stablecoin systems require continuous data movement and analysis across ledgers, compliance tools, and banking platforms. A Data Streaming Platform using technologies like Apache Kafka and Apache Flink can provide this foundation by ensuring transactions, reserves, and risk signals are processed instantly and consistently. Together, blockchain, data streaming, and AI pave the way for a new financial infrastructure that runs on live, contextual data.
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Cybersecurity with a Real-Time Digital Twin using Data Streaming with Apache Kafka Flink and Sigma
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  • 10 minute read

Cybersecurity with a Digital Twin: Why Real-Time Data Streaming Matters

Cyberattacks on critical infrastructure and manufacturing are growing, with ransomware and manipulated sensor data creating severe risks. Digital twins combined with data streaming provide real-time visibility, continuous monitoring, and proactive defense across both IT and OT environments. Using technologies like Kafka, Flink and Sigma, organizations can detect anomalies instantly, strengthen resilience, and secure digital transformation.
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