Big Data Spain: Talk about KSQL – The Streaming SQL Engine for Apache Kafka
KSQL – The Open Source Streaming SQL Engine for Apache Kafka => Slides from my talk at Big Data Spain 2018 are online. Check it out!
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8 posts
Machine Learning Trends of 2018 combined with the Apache Kafka Ecosystem
At OOP 2018 conference in Munich, I presented an updated version of my talk about building scalable, mission-critical…
Kafka Streams + H2O.ai + TensorFlow (Video Recording / Live Demo)
I do a lot of presentations these days at meetups and conferences about how to leverage Apache Kafka and Kafka Streams to apply analytic models (built with H2O, TensorFlow, DeepLearning4J and other frameworks) to scalable, mission-critical environments. As many attendees have asked me, I created a video recording about this talk (focusing on live demos).
Apache Kafka Streams + Machine Learning (Spark, TensorFlow, H2O.ai)
Apache Kafka Streams to build Real Time Streaming Microservices. Apply Machine Learning / Deep Learning using Spark, TensorFlow, H2O.ai, etc. to add AI. Embed Kafka Streams into Java App, Docker, Kubernetes, Mesos, anything else.
Streaming Analytics Comparison of Open Source Frameworks, Products, Cloud Services
Streaming Analytics Comparison of Open Source Frameworks, Products and Cloud Services. Includes Apache Storm, Flink, Spark, TIBCO, IBM, AWS Kinesis, Striim, Zoomdata, …
Comparison of Open Source IoT Integration Frameworks
Comparison of Open Source IoT Integration Frameworks such as Eclipse Kura (+ Apache Camel), Node-RED, Flogo, Apache Nifi, StreamSets, and others… (slide and video recording)
Open Source Project Flogo – Overview, Architecture and Live Demo
Introduction to the Open Source IoT Integration Project Flogo to build very lightweight edge applications and microservices for cloud native containers / cloud platforms / serverless architectures.
Comparison of Stream Processing Frameworks and Products
See how stream processing / streaming analytics frameworks (e.g. Apache Spark, Apache Flink, Amazon Kinesis) and products (e.g. TIBCO StreamBase, Software AG’s Apama, IBM InfoSphere Streams) are categorized and compared. Besides, understand how stream processing is related to Big Data platforms such as Apache Hadoop and machine learning (e.g. R, SAS, MATLAB).
