From Smart Factory to Cloud with Data Streaming
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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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Business Process Automation and BPM Workflow Engine and Orchestration with Apache Kafka
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Apache Kafka as Workflow and Orchestration Engine

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 case studies across industries to show how enterprises like Salesforce or Swisscom implement stateful workflow automation and orchestration with Kafka.
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The State of Data Streaming for Retail in 2023
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The State of Data Streaming for Retail

This blog post explores the state of data streaming for the retail industry 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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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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The State of Data Streaming for Financial Services

This blog post explores the state of data streaming for financial services. 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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Global Supply Chain with IoT and Data Streaming
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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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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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Top Use Cases and Architectures for Data Streaming with Apache Kafka in 2023
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Top 5 Data Streaming Trends for 2023

Data Streaming is one of the most relevant buzzwords in tech to build scalable real-time applications in the cloud and innovative business models. Do you wonder about my predicted TOP 5 data streaming trends in 2023 to set data in motion? Check out the following presentation and learn what role Apache Kafka plays. Learn about decentralized Data Mesh, cloud-native lakehouse, data sharing, improved user experience, and advanced data governance.
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Apache Kafka vs Redpanda Comparison
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When to choose Redpanda instead of Apache Kafka?

Data streaming emerged as a new software category. It complements traditional middleware, data warehouse, and data lakes. Apache Kafka became the de facto standard. New players enter the market because of Kafka’s success. One of those is Redpanda, a lightweight Kafka-compatible C++ implementation. This blog post explores the differences between Apache Kafka and Redpanda, when to choose which framework, and how the Kafka ecosystem, licensing, and community adoption impact a proper evaluation.
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