Today’s web is a much more open place than ever before—most social networks and other web platforms offer public APIs that allow anyone to request and use data on a scale. These sites don’t just generate large amounts of data—they generate it at an incredibly rapid rate. For example, on average, Twitter logs around 6,000 new tweets per second, or 500 million per day. To get to grips with that kind of data in real time, you need an infrastructure that is built to deal with web-scale volume and velocity. The desire to master this new world of data is the first big reason why streaming analytics is moving from niche to mainstream on many companies’ data science roadmaps.

IBM Streams Designer is the new web-based development tool for building streaming applications in IBM Watson® Data Platform. With a visual drag and drop development environment, the tool makes it very simple for users to define the intent of a new app through visual composition and code.

Join this webinar to learn how to build a streaming analytics dataflow, using a drag-and-drop interface to assemble all the different components (known as “operators”) to transform data into actionable real-time insights.