Do you have a Streams application that you’re interested in running in the cloud? If your application reads from the local disk or creates new files, then using one of the Object Storage services on Bluemix and the new toolkit could be the solution to make your files available in the cloud.
IBM Streams version 4.2.1 is now available, and includes enhanced Python support to make creating streaming applications in Python much easier. For example, if you have existing Python classes and callables, you can now use them as operators in a Streams application.
The recent upgrade of the Streaming Analytics service on Bluemix also includes integration with the IBM Data Science Experience (DSX) platform. This allows you to create Streaming analytics applications in Python right in your browser!
I am very excited to announce the first pre-release of the Streams Healthcare Analytics Platform! This post will provide an overview of the platform and its features.
Watch this video to see how Roskilde Festival, one of the largest music festivals in Europe, used Watson Data Platform and Streams.
Several stream processing engines have emerged in recent years. In addition to Streams, and the increasingly popular Spark Streaming project, there are several other Apache projects with stream processing capabilities, including Apex, Flink, Storm, and Samza.
A leading critical care research centre is trying to identify patients whose health is at risk of deteriorating. They are using Streams to develop a software solution to analyze patient data and alert them to potential problems.
In order to make it easier to find examples of Streams applications, we’ve launched the new Streams samples catalog.
Recently, Galvanize in San Francisco hosted the first meetup of the Apache Edgent community, which was led by Will Marshall. In case you missed it, you can read Will’s summary of the meetup here.
If you’re in the San Fransisco area, join us on Wednesday, January 18th at 6pm for an Apache Edgent meetup!