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Apache Flink

4 posts
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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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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Top Use Cases and Architectures for Data Streaming with Apache Kafka in 2023
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  • 7 minute read

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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Fraud Detection and Prevention with Apache Kafka KSQL Apache Flink
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  • 5 minute read

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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