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! What is the Data Science Experience The Data Science Experience is an interactive, collaborative environment that allows you to quickly... Continue reading NEW: Streaming Analytics now integrates with the Data Science Experience!
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. Introduction Last December, I wrote a blog post about the Streams Healthcare Analytics Platform. In that post, I discussed our goals for the platform. Our goal is to accelerate... Continue reading Streams Healthcare Analytics Platform — First Pre-Release Now Available!
Watch this video to see how Roskilde Festival, one of the largest music festivals in Europe, used Watson Data Platform and Streams. With over 130,000 attendees, the festival turns the small town of Roskilde into a bustling city for 10 days. This creates unique challenges. By leveraging live data generated from mobile devices of fans... Continue reading Video: Streaming analytics at the Roskilde Music Festival
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. However, when it comes to analyzing big data, it is certainly true that one size does not fit all.... Continue reading Real time data processing in Hadoop: Overview of Storm, Spark Streaming, Flink, and more
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. The solution being developed constantly analyzes electrocardiograms (EKGs) to predict hemodynamic instability, or abnormal or unstable blood pressure. Results from the pilot project indicate... Continue reading Case study: Identifying at-risk patients using predictive analysis
In order to make it easier to find examples of Streams applications, we've launched the new Streams samples catalog. The catalog is a searchable database of over 120 sample applications for Streams. Samples range in complexity from the classic "Hello, World!" to creating a C++ operator within a consistent region. Each sample displayed includes a direct... Continue reading The Streams samples catalog is now available!
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. Apache Edgent has been incubating for more than a year, and its first incubating release was... Continue reading Apache Edgent San Fransisco Meetup Recap
If you’re in the San Fransisco area, join us on Wednesday, January 18th at 6pm for an Apache Edgent meetup! This meetup will discuss the basic concepts of data streaming, explore some of the use cases behind Edgent, and compare Edgent to its other streaming counterparts. Plus, there will be pizza! https://www.meetup.com/SF-Data-Science/events/236682354/ Continue reading San Fransisco Edgent Meetup: Data streaming and Analytics for IoT Devices
Cerner is the world’s largest publicly traded health information technology company, with solutions deployed at over 25,000 facilities worldwide. Using Streams and Apache Kafka for real time performance monitoring, Cerner is able to quickly and accurately identify performance issues. This, in turn minimizes the impact of hardware and software problems on its clients. They also report... Continue reading Cerner success story: Real time performance monitoring using IBM Streams and Apache Kafka
Apache Edgent has been incubating and has reached a milestone, creating release 1.0.0 - its first incubating release as an Apache Software Foundation (ASF) podling! The release is available as source and convenience binary bundles and conforms to the ASFs policy for incubating projects. It includes a number of new features and bug fixes.... Continue reading Apache Edgent’s first incubating release is now available!