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How Machine Learning Works: 3 Resources To Learn And Develop ML Applications

Lightbend Fast Data Platform 1.2 Released

Akka, Spark or Kafka? Selecting The Right Streaming Engine For the Job

Concept Drift: Monitoring Model Quality in Streaming ML Applications

Microservices and Fast Data: Industry and Architecture Trends

Running Fast Data Applications - Resilient Production Tools And One-Stop Support (15 Min Interview)

Running Fast Data Applications - Intelligent Monitoring And Troubleshooting (18 Min Interview)

Building Fast Data Applications - Developer Tools For Performance Tuning And Deployment (18 Min Interview)

Building Fast Data Applications - Development Team Enablement And Productivity (25 Min Interview)

Designing Fast Data Applications - Resilient, Scalable Architectures And Deployment Strategies (23 Min Interview)

Designing Fast Data Applications - How To Choose The Right Streaming Engine (23 Min Interview)

Understanding Fast Data Applications - The Why, What, And How (17 Min Interview)

A Tale of Two APIs: Using Spark Streaming In Production

Building Streaming And Fast Data Applications With Spark, Mesos, Akka, Cassandra And Kafka

Introducing Lightbend Fast Data Platform: A Guided Way To Manage Data In Motion For Streaming Applications