Browsing Category

Data Streaming

30 posts
Python Kafka Quix Streams and Flink for Open Source Stream Processing
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  • 11 minute read

Quix Streams – Stream Processing with Kafka and Python

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 library, its place in the Kafka ecosystem, and when to use it instead of Apache Flink or other Python- or SQL-based substitutes.
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From Smart Factory to Cloud with Data Streaming
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  • 4 minute read

Data Streaming from Smart Factory to Cloud

A smart factory organizes itself without human intervention to produce the desired products. This blog post explores how data streaming powered by Apache Kafka helps connect and move data to the cloud at scale in real-time, including a case study from BMW and a simple lightboard video about the related enterprise architecture.
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The State of Data Streaming for Retail in 2023
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  • 8 minute read

The State of Data Streaming for Retail in 2023

This blog post explores the state of data streaming for the retail industry in 2023 with omnichannel customer experiences, hybrid shopping models, and hyper-personalized recommendations. Data streaming allows integrating and correlating data in real time at any scale. I explore customer stories from Walmart, Albertsons, Otto, AO.com, and more, including a slide deck and on-demand video recording.
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Data Streaming is not a Race it is a Journey
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  • 11 minute read

Data Streaming is not a Race, it is a Journey!

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. This blog post explores success stories from data streaming journeys across industries, including banking, retail, insurance, manufacturing, healthcare, energy & utilities, and software companies.
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The State of Data Streaming for Financial Services in 2023
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  • 9 minute read

The State of Data Streaming for Financial Services in 2023

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. The foci are trending enterprise architectures for data streaming and customer stories. A complete slide deck and on-demand video recording are included.
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The State of Data Streaming for Manufacturing in 2023
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  • 6 minute read

The State of Data Streaming for Manufacturing in 2023

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. The foci are trending enterprise architectures in the manufacturing industry and data streaming customer stories from BMW, Mercedes, Michelin, or Siemens. A complete slide deck and on-demand video recording are included.
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Global Supply Chain with IoT and Data Streaming
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  • 8 minute read

Transforming the Global Supply Chain with Data Streaming and IoT

The research company IoT Analytics found eight key technologies transforming the future of the global supply chain. This article explores how data streaming helps to innovate in this area. Real-world case studies from global players such as BMW, Bosch, and Walmart show the value of real-time data streaming to improve the supply chain by building use cases such as automated intralogistics, track and trace of vehicles, and proactive and context-specific decision-making with MES and ERP integration. 
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Apache Kafka and Apache Flink for Open Source and Cloud-native Data Streaming
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  • 12 minute read

Apache Kafka (including Kafka Streams) + Apache Flink = Match Made in Heaven

Apache Kafka and Apache Flink are increasingly joining forces to build innovative real-time stream processing applications. This blog post explores the benefits of combining both open-source frameworks, shows unique differentiators of Flink versus Kafka, and discusses when to use a Kafka-native streaming engine like Kafka Streams instead of Flink.
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Apache Kafka for Data Consistency (and Real-Time Data Streaming)
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  • 6 minute read

Apache Kafka for Data Consistency (and Real-Time Data Streaming)

Real-time data beats slow data in almost all use cases. But as essential is data consistency across all systems, including non-real-time legacy systems and modern request-response APIs. Apache Kafka’s most underestimated feature is the storage component based on the append-only commit log. It enables loose coupling for domain-driven design with microservices and independent data products in a data mesh. This blog post explores how Kafka enables data consistency with a real-world case study from financial services.
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Data Streaming Landscape 2023 with Apache Kafka Flink and much more
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  • 13 minute read

The Data Streaming Landscape 2023

Data streaming is a new software category to process data in motion. Apache Kafka is the de facto standard used by over 100,000 organizations. Plenty of vendors offer Kafka platforms and cloud services. Many complementary stream processing engines like Apache Flink and SaaS offerings have emerged. And competitive technologies like Pulsar and Redpanda try to get market share. This blog post explores the data streaming landscape of 2023 to summarize existing solutions and market trends.
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