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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Apache Kafka for Government and Citizen Services in the Public Sector
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Apache Kafka in the Public Sector – Part 3: Government and Citizen Services

The public sector includes many different areas. Some groups leverage cutting-edge technology, like military leverage. Others like the public administration are years or even decades behind. This blog series explores both edges to show how data in motion powered by Apache Kafka adds value for innovative new applications and modernizing legacy IT infrastructures. This is part 3: Use cases and architectures for Government and Citizen Services.
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Kappa Architecture vs Lambda Architecture for Apache Kafka Pulsar Data Lakes
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Kappa Architecture is Mainstream Replacing Lambda

Real-time data beats slow data. That’s true for almost every use case. Nevertheless, enterprise architects build new infrastructures with the Lambda architecture that includes separate batch and real-time layers. This blog post explores why a single real-time pipeline, called Kappa architecture, is the better fit. Real-world examples from companies such as Disney, Shopify, Uber, and Twitter explore the benefits of Kappa but also show how batch processing fits into this discussion positively without the need for Lambda.
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Cyber Threat Intelligence with Apache Kafka and SIEM SOAR Machine Learning
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Kafka for Cybersecurity (Part 3 of 6) – Cyber Threat Intelligence

This blog series explores use cases and architectures for Apache Kafka in the cybersecurity space, including situational awareness, threat intelligence, forensics, air-gapped and zero trust environments, and SIEM / SOAR modernization. This post is part three: Cyber Threat Intelligence.
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Event Streaming with Apache Kafka as Foundation for a Smart City and Public Sector
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Event Streaming with Kafka as Foundation for a Smart City

A smart city is an urban area that uses different types of electronic Internet of Things (IoT) sensors to collect data and then use insights gained from that data to manage assets, resources, and services efficiently. This blog post explores how Apache Kafka fits into the smart city architecture and the benefits and use cases.
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Omnichannel Retail and Customer 360 with Apache Kafka at the Edge and in the Cloud
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Omnichannel Retail and Customer 360 in Real Time with Apache Kafka

Event Streaming with Apache Kafka disrupts the retail industry. Walmart’s real-time inventory system and Target’s omnichannel distribution and logistics are two great examples. This blog post explores a key use case for postmodern retail companies: Real-time omnichannel retail and customer 360.
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Apache Kafka Hard vs Soft Real Time for Industrial IoT Robots and Connected Vehicles
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Apache Kafka is NOT Hard Real Time BUT Used Everywhere in Automotive and Industrial IoT

Apache Kafka is NOT hard real-time in Industrial IoT or vehicles (such as autonomous cars) but integrates the OT/IT world for near real-time data correlation and analytics in hybrid architectures across factories at the edge, multiple clouds, and over countries.
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