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Andrea Peruffo , James Townley

Akka Data Pipelines Adds Improved End User Controls for Flink and Spark

Boris Lublinsky

Comparing Runtimes in Cloudflow: Akka Streams vs Apache Flink

Detecting Real-Time Financial Fraud with Cloudflow on Kubernetes

How to build streaming data pipelines with Akka Streams, Flink, and Spark using Cloudflow

Boris Lublinsky

How To Use Apache Flink For Dynamically Controlled Streams

Boris Lublinsky

Managing Streaming And Queryable State In Spark, Akka Streams, Kafka Streams, And Flink

Design Techniques for Building Streaming Data, Cloud-Native Applications: Part 1 - Spark, Flink, and Friends

How To Build, Integrate, and Deploy Real-Time Streaming Pipelines On Kubernetes

Stavros Kontopoulos

How Lightbend Got Apache Spark To Work With Scala 2.12

Machine Learning At Speed: Operationalizing ML For Real-Time Data Streams

New Edition: Fast Data Architectures For Streaming Applications (2nd Ed.)

Executive Briefing: What Is Fast Data And Why Is It Important?

Operationalizing Machine Learning - Serving ML Models

Five Early Challenges Of Building Streaming & Fast Data Applications

White Paper: The Secrets To Successfully Monitoring Streaming And Fast Data Applications

Stream Processing With Apache Flink: Get Free Chapters From The O'Reilly Book