Apache Kafka is NOT real real-time data streaming!
Real-time data beats slow data. It is that easy! But what is real-time? The term always needs to…
Browsing Tag
Real Time
37 posts
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.
A Real-Time Supply Chain Control Tower powered by Kafka
A modern supply chain requires just-in-time production, global logistics, and complex manufacturing processes. This blog post explores a solution that ingests all information flows into a unified central nervous system. The idea of the Supply Chain Control Tower becomes a reality: An integrated data cockpit with real-time access to all levels and systems of the supply chain.
Real-Time Supply Chain with Apache Kafka in the Food and Retail Industry
This blog post explores real-world deployments across the end-to-end supply chain powered by data streaming with Apache Kafka to improve business processes with real-time services. The examples include manufacturing, logistics, stores, delivery, restaurants, and other parts of the business. Case studies include Walmart, Albertsons, Instacart, Domino’s Pizza, Migros, and more.
Kafka for Live Commerce to Transform the Retail and Shopping Metaverse
Live commerce combines instant purchasing of a featured product and audience participation. This blog post explores the need for real-time data streaming with Apache Kafka between applications to enable live commerce across online stores and brick & mortar stores across regions, countries, and continents in any retail business. The discussion covers several buildings blocks of a live commerce enterprise architecture, including transactional data processing, omnichannel, natural language processing, augmented reality, edge computing, and more.
IoT Analytics with Kafka for Real Estate and Smart Building
This blog post explores how event streaming with Apache Kafka enables IoT analytics for cost savings, better consumer experience, and reduced risk in real estate and smart buildings. Examples include improved real estate maintenance and operations, smarter energy consumptions, optimized space usage, better employee experience, and better defense against cyber attacks.
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.
Apache Kafka in the Public Sector – Blog Series about Use Cases and Architectures
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. Examples include a broad spectrum of use cases across smart cities, citizen services, energy and utilities, and national security.
When to Use Reverse ETL and when it is an Anti-Pattern
This blog post explores why software vendors (try to) introduce new solutions for Reverse ETL, when Reverse ETL is really needed, and how it fits into the enterprise architecture. The involvement of event streaming to process data in motion is a key piece of Reverse ETL for real-time use cases.
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.
