Apache Kafka is the New Black at the Edge in Industrial IoT, Logistics and Retailing
Kai Waehner
The following question comes up almost every week in conversations with customers: Can and should I deploy Apache…
Browsing Tag
Analytics
44 posts
IoT Live Demo – 100.000 Connected Cars with Kubernetes, Kafka, MQTT, TensorFlow
Live Demo – 100.000 Connected Cars – Real Time Processing and Analytics with Kubernetes, Kafka, MQTT and TensorFlow leveraging Confluent and HiveMQ.
Apache Kafka + KSQL + TensorFlow for Data Scientists via Python + Jupyter Notebook
Streaming Processing with Apache Kafka and KSQL for Data Scientists via Python and Jupyter Notebooks to build analytic models with TensorFlow and Keras.
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!
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).
Why I Move (Back) to Open Source for Messaging, Integration and Stream Processing
After three great years at TIBCO Software, I move back to open source and join Confluent, the company behind the open source project Apache Kafka to build mission-critical, scalable infrastructures for messaging, integration and stream processsing. In this blog post, I want to share why I see the future for middleware and big data analytics in open source technologies, why I really like Confluent, what I will focus on in the next months, and why I am so excited about this next step in my career.
Visual Analytics + Open Source Deep Learning Frameworks
Deep Learning gets more and more traction. It basically focuses on one section of Machine Learning: Artificial Neural…
Machine Learning Applied to Microservices
Build intelligent Microservices by applying Machine Learning and Advanced Analytics. Leverage Apache Hadoop / Spark with Visual Analytics and Stream Processing.
Comparison Of Log Analytics for Distributed Microservices – Open Source Frameworks, SaaS and Enterprise Products
Log Analytics is the right framework or tool to monitor for Distributed Microservices. Comparison of Open source, SaaS and Enteprrise Products. Plus relation to big data components such as Apache Hadoop / Spark.
Streaming Analytics with Analytic Models (R, Spark MLlib, H20, PMML)
Closed Big Data Loop: 1) Finding Insights with R, H20, Apache Spark MLlib, PMML and TIBCO Spotfire. 2) Putting Analytic Models into Action via Event Processing and Streaming Analytics.
