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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JMS Message Broker vs Apache Kafka Data Streaming
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Message Broker and Apache Kafka: Trade-Offs, Integration, Migration

A Message broker has very different characteristics and use cases than a data streaming platform like Apache Kafka. Data integration, processing, governance, and security must be reliable and scalable across the business process. This blog post explores the capabilities of message brokers, the relation to the JMS standard, trade-offs compared to data streaming with Apache Kafka, and typical integration and migration scenarios.
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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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Data Streaming Landscape 2023 with Apache Kafka Flink and much more
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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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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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Fraud Detection and Prevention with Apache Kafka KSQL Apache Flink
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Fraud Detection with Apache Kafka, KSQL and Apache Flink

Fraud detection becomes increasingly challenging in a digital world across all industries. Real-time data processing with Apache Kafka became the de facto standard to correlate and prevent fraud continuously before it happens. This blog post explores case studies for fraud prevention from companies such as Paypal, Capital One, ING Bank, Grab, and Kakao Games that leverage stream processing technologies like Kafka Streams, KSQL, and Apache Flink.
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Cloud Native SCADA Industrial IoT with Apache Kafka Data Streaming
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A cloud-native SCADA System for Industrial IoT built with Apache Kafka

Industrial IoT and Industry 4.0 enable digitalization and innovation. SCADA control systems are a vital component of IT/OT modernization. The SCADA evolution started with monolithic applications and moved to networked and web-based platforms. This blog post explores building the 5th generation: A cloud-native SCADA infrastructure with Apache Kafka. A real-world case study explores the journey of a German system operator for electricity to show how such a journey to open and scalable real-time workloads and edge-to-cloud integration progressed.
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Real Time Logistics Transportation Shipping with Apache Kafka
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Real-Time Logistics, Shipping, and Transportation with Apache Kafka

Logistics, shipping, and transportation require real-time information to build efficient applications and innovative business models. Data streaming enables correlated decisions, recommendations, and alerts. Kafka is everywhere across the industry. This blog post explores several real-world case studies from companies such as USPS, Swiss Post, Austrian Post, DHL, and Hermes. Use cases include cloud-native middleware modernization, track and trace, and predictive routing and ETA planning.
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