Do you wonder about my predicted TOP 5 data streaming trends with Apache Kafka and Flink in 2024 to set data in motion? Discover new technology trends and best practices for event-driven architectures, including data sharing, data contracts, serverless stream processing, multi-cloud architectures, and GenAI.
This blog post explores the state of data streaming for the healthcare industry in 2023 powered by Apache Kafka and Apache Flink. IT modernization and innovation with pioneering technologies like sensors, telemedicine, or AI/machine learning are explored. I look at enterprise architectures and customer stories from Humana, Recursion, BHG (former Bankers Healthcare Group), and more. A complete slide deck and on-demand video recording are included.
Generative AI (GenAI) enables advanced AI use cases and innovation but also changes how the enterprise architecture looks like. Large Language Models (LLM), Vector Databases, and Retrieval Augmentation Generation (RAG) require new data integration patterns. Data streaming with Apache Kafka and Apache Flink processes incoming data sets in real-time at scale, connects various platforms, and enables decoupled data products.
This blog post explores the state of data streaming for the gaming industry in 2023, including customer stories from Kakao Games, Mobile Premier League (MLP), Demonware / Blizzard, and more. A complete slide deck and on-demand video recording are included.
5G telco infrastructure provides the basic foundations of data movement and increasingly unlocks new capabilities for low latency and critical SLAs. Real-time data processing with data streaming using Apache Kafka enables innovation across industries. This blog post explores the success story of Dish Wireless and its cloud-native standalone 5G infrastructure leveraging data streaming.
Good data quality is one of the most critical requirements in decoupled architectures, like microservices or data mesh. Apache Kafka became the de facto standard for these architectures. But Kafka is a dumb broker that only stores byte arrays. The Schema Registry enforces message structures. This blog post looks at enhancements to leverage data contracts for policies and rules to enforce good data quality on field-level and advanced use cases like routing malicious messages to a dead letter queue.
Aftermarket sales and customer service require the right information at the right time to make context-specific decisions. This post explains the modernization of supply chain business process choreography based on the real-life use case of Michelin, a tire manufacturer in France. Data Streaming with Apache Kafka enables true decoupling, domain-driven design, and data consistency across real-time and batch systems. Common business goals drove them: Increase customer retention, increase revenue, reduce costs, and improve time to market for innovation.
Aviation and travel are notoriously vulnerable to social, economic, and political events, as well as the ever-changing expectations of consumers. The coronavirus was just a piece of the challenge. This post explores how Lufthansa leverages data streaming powered by Apache Kafka as cloud-native middleware for mission-critical data integration projects and as data fabric for AI/machine learning scenarios such as real-time predictions in fleet management. An interactive conversation with Lufthansa as an on-demand video is added at the end as a highlight if you want to learn more.
This blog post explores the state of data streaming for the insurance industry in 2023. The evolution of claim processing, customer service, telematics, and new business models requires real-time end-to-end visibility, reliable and intuitive B2B and B2C communication, and integration with pioneering technologies like AI/machine learning for image recognition. Learn from use cases of Allianz, Generali, Policygenius, and more. A complete slide deck and on-demand video recording are included.
An advertising platform requires real-time capabilities to provide dynamic targeting, ad personalization, ad fraud detection, budget allocation, and event-driven marketing. This blog post explores how data streaming with Apache Kafka and Apache Flink enables context-specific advertising at any scale. Real-world success stories from Pinterest, Uber, Unity, buzzwil, and TV-Insight show different solutions and architectures for serving ads in marketing campaigns, embedded into mobile apps, and as SaaS software products.