Deep Learning at Extreme Scale with the Apache Kafka Open Source Ecosystem
Kai Waehner
I had a new talk presented at “Codemotion Amsterdam 2018” this week. I discussed the relation of Apache…
Browsing Tag
Big Data
50 posts
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).
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…
Comparison: Data Preparation vs. Inline Data Wrangling in Machine Learning and Deep Learning Projects
Data Preparation: Comparison of Programming Languages, Frameworks and Tools for Data Preprocessing and (Inline) Data Wrangling in Machine Learning / Deep Learning Projects.
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, …
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.
Hybrid Integration Architecture is the New Default
This article shows the different components available for a Hybrid Integration Architecture. The goal is not to discuss different vendor offerings but to explain different concepts and benefits of each component in general and how they relate to each other. Including concepts such as Hybrid Integration Platform (HIP), Cloud-Native Middleware, PaaS, Docker, iPaaS, iSaaS, API Management, and others.
Characteristics of a Good Visual Analytics and Data Discovery Tool
Several tools are available on the market for Visual Analytics and Data Discovery. Three of the most well known options are Tableau, Qlik and TIBCO Spotfire. This post shows important characteristics to compare and evaluate these tools.
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.
