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!
If you are new to Streams and/or to the Streaming Analytics service on Bluemix, this video shows you how you can quickly try both, in less than 5 minutes!
IBM Streaming Analytics service – Improved Python Support The combined release of the latest IBM Streaming Analytics service on IBM Bluemix and version 1.6 of the Python Application API introduces a suite of Python language features that greatly ease the development of streaming applications in the cloud. Applications developed with Python 3.5 can now be...
How should you develop Streams applications for the cloud that listen for incoming connections?
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.
The new Watson Explorer toolkit enables IBM Streams applications to integrate with the Watson Explorer platform.
Are you designing a Streams application that will connect to a database? The flowchart below will provide a basic overview of which toolkits can be used, and which databases are supported.