Apache Kafka + Kafka Streams to Produductionize Neural Networks (Deep Learning). Models built with TensorFlow, DeepLearning4J, H2O. Slides from JavaOne 2017.
Data Preparation: Comparison of Programming Languages, Frameworks and Tools for Data Preprocessing and (Inline) Data Wrangling in Machine Learning / Deep Learning Projects.
These days, I am at JavaOne 2012 in San Francisco. That’s the largest and most important Java conference worldwide. In this blog post, I wanna share the slides of my two talks…
This week, I was at Confess 2012 (http://2012.con-fess.com) in Leogang, Salzburg (Austria). Confess is an international conference for Java professionals in its fifth year, organized by IRIAN and the EJUG Austria. It is reasonably priced with 275 € for the two-day conference, and 500 € for the workshop day. The speaker lineup is very good with many well-known international speakers, such as JSF spec lead Edwuard Burns from Oracle America, Hazem Saleh from IBM Egypt, or Jürgen Höller from SpringSource.
Three lightweight integration frameworks are available in the JVM environment: Spring Integration, Mule ESB and Apache Camel. They implement the well-known Enteprise Integration Patterns (EIP, http://www.eaipatterns.com) and therefore offer a standardized, domain-specific language to integrate applications. These integration frameworks can be used in almost every integration project within the JVM environment – no matter which technologies, transport protocols or data formats are used. All integration projects can be realized in a consistent way without redundant boilerplate code. This article compares all three alternatives and discusses their pros and cons.
Cloud Computing is the future – if you believe market forecasts from companies such as Gartner. I think so, too. But everybody should be aware that there won’t be one single cloud solution, but several clouds. These clouds will be hosted at different providers, use products and APIs from different vendors and use different concepts (IaaS, PaaS, SaaS). Thus, in the future you will have to integrate these clouds as you integrate applications today.
I really like the integration framework Apache Camel and I also like Scala a lot. This article shows the basics of this combination. It is NO introduction to Apache Camel or Scala. I created a Git project to use it as simple startup for Camel-Scala-Maven projects using just the basic Camel concepts and only a few complex Scala features (i.e. very „Java-friendly“).
In January, I spent a lot of time playing with Apache Camel. I really like this EAI-framework. Thus, I will hold a workshop in our company and at some external events, e.g. at the IT conference “Confess 2011” in Vienna. It helps you a lot in any integration project within the Java environment. The book “Camel in Action” released some weeks ago. If you want to learn Apache Camel, you need this book! Here is my short review.
The following article shows a categorization of Java / JVM web-frameworks, considering different types of web applications. The intention is go give an overview, not to start a flame war.