The Streaming Analytics service in the IBM Cloud is an advanced analytic platform allowing user-developed applications to quickly ingest, analyze, and correlate information as it arrives from a wide variety of real-time data sources. Today, an enhanced version of the service has been released as a beta, to introduce some exciting new features.
There’s a lot of hype around the possibilities of stream computing. It seems like everywhere you look, more and more organizations are touting the benefits of capturing and analyzing large volumes of data at high velocity—and increasing numbers of streaming analytics solutions, both commercial and open source, are flooding the market.
The Streaming Analytics service on Bluemix has been upgraded to make it easier to develop Streams apps in Python, and to enable access to the service from noteoboks in the Data Science Experience (DSx).
A new version of the Streaming Analytics service in IBM Bluemix has been released, upgrading the to the IBM Streams product version 4.2 as its basis. This version includes a number of exciting new features and enhancements that can increase the power, performance and simplicity of your real-time analytic applications.
Use the Streams REST API to get instance, job, PE, and operator metrics for IBM Streams locally or in the cloud using Streaming Analytics Bluemix service.
I’m delighted to announce the availability of our new experimental service, Message Connect. Message Connect is a service which enables you to feed events from a variety of sources into Message Hub. So, if you want to get events from sources such as Twitter into your Bluemix apps, this is the easiest way to achieve it.