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Watch: Dynamic and Elastic Scaling in Streams v4.3

IBM Streams allows you to scale up your applications by adding parallel data processing. By using the @parallel annotation in your application, you could indicate...

Optional Data Types in the SPL Programming Language

IBM Streams 4.3 introduces a new type to the SPL programming language to better allow Streams applications to interoperate with external data sources such as...

New in Streams 4.3: Using Complex Expressions in the Import Operator

Learn how to use complex, bitwise and nested expressions to filter data from a dynamic connection.

Streams 4.3 Information

Streams v4.3 is now available, and this post will hold links to articles and presentations about Streams 4.3.  Check this post frequently in the upcoming...

What’s New in Streams v4.3

IBM Streams V4.3 is now available and it includes a number of new features.  Some of these include dynamic and elastic scaling, simpler event time window handling,...

Just announced: Streams v4.3

Today, IBM announced the next major release of Streams: version 4.3.

Monitoring IBM Streams Analytics with Prometheus and Grafana

Introduction As a Streams developer or admin, you might need a way to efficiently store and visualize current and historical Streams metrics.  For example, you...

Common patterns for tracking moving objects in Streams, part 2: Geofencing

This article continues the discussion of tracking moving objects in real-time. The previous article discussed using the Hangout operator  to discover points of interest (POI)...

Language support for Streams documentation

IBM® Streams documentation is available in English and for many releases a few other languages. For most releases, parts of the documentation are provided in...

Case study: Solving difficult problems with Streams at Sharpe Engineering Inc.

Sharpe Engineering is a software company whose focus is helping clients harness and extract insights from data in motion. For example, one client is analyzing...