This blog post explores the state of data streaming for the telco industry in 2023. The evolution of telco infrastructure, customer services, and new business models requires real-time end-to-end visibility, fancy mobile apps, and integration with pioneering technologies like 5G for low latency or augmented reality for innovation. …

Over 100,000 organizations use Apache Kafka for data streaming. However, there is a problem: The broad ecosystem lacks a mature client framework and managed cloud service for Python data engineers. Quix Streams is a new technology on the market trying to close this gap. This blog post discusses this Python…

A smart factory organizes itself without human intervention to produce the desired products. Data integration of IoT protocols, data correlation with other standard software like MES or ERP, and sharing data with independent business units for reporting or analytics is crucial for generating business value and improving the OEE. …

Business process automation with a workflow engine or BPM suite has existed for decades. However, using the data streaming platform Apache Kafka as the backbone of a workflow engine provides better scalability, higher availability, and simplified architecture. This blog post explores the concepts behind using Kafka for persistence with stateful…

This blog post explores the state of data streaming for the retail industry in 2023. The evolution of omnichannel customer experiences, hybrid shopping models, and hyper-personalized recommendations requires an optimized end-to-end supply chain, fancy mobile apps, and integration with pioneering technologies like social commerce or metaverse. Data streaming allows integrating…

Data Streaming is not a race, it is a Journey! Event-driven architectures and technologies like Apache Kafka or Apache Flink require a mind shift in architecting, developing, deploying, and monitoring applications. Legacy integration, cloud-native microservices, and data sharing across hybrid and multi-cloud setups are the norm, not an exception. …

This blog post explores the state of data streaming for financial services in 2023. The evolution of capital markets, retail banking and payments requires easy information sharing and open architecture. Data streaming allows integrating and correlating data in real-time at any scale. I look at trends to explore how data…

This blog post explores the state of data streaming for manufacturing in 2023. The evolution of industrial IoT, manufacturing 4.0, and digitalized B2B and customer relations require modern, open, and scalable information sharing. Data streaming allows integrating and correlating data in real-time at any scale. I look at trends like…

A Message broker has very different characteristics and use cases than a data streaming platform like Apache Kafka. A business process requires more than just sending data in real-time from a data source to a data sink. Data integration, processing, governance, and security must be reliable and scalable end-to-end across…