Documentation: Analyze and classify data

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)...

Build a real-time location-monitoring application on IBM Cloud with Geospatial Analytics and Node.js

Obtain, run, and extend a Node.js starter application that uses the IBM Cloud Geospatial Analytics service. With the Geospatial Analytics service, you can monitor moving...

Common patterns for tracking moving objects in Streams, part 1

There are several use cases that involve tracking moving objects or people in real time. Some of these include wildlife tracking and monitoring, fleet management,...

Detect Complex Events in Real-time with Streaming Analytics in the IBM Cloud

Do you want to perform complex event detection on information from real-time data sources and act quickly when events are found? It’s easier than you...

Tip: Consuming GPX data in your Streams application

If you are developing a Streams application that uses the Geospatial toolkit to monitor moving objects, you may have come across sample data in GPX...

Video: Creating SPL applications from ODM Business Rules

Watch this video to learn how to use the rules compiler to generate Streams operators and types from business rules.

Real time text analysis using Streams, Part 2: Updating dictionaries and tables

This article will highlight some new features in the Text toolkit in Streams 4.2. It will show how to update resources used...

How to classify text using the IBM Streams Natual Language Processing (NLP) Toolkit LinearClassification operator?

The goal of statistical classification is to use an object's characteristics to identify which class (or group) it belongs to. Such classifiers work well for...

How to extract text using the IBMStreams Natural Language Processing (NLP) Toolkit RutaText operator?

Text extraction is one means to get insights to unstructured data like text or speech transformed into text. There are different methods to write text...

Rules based processing in real-time streaming applications

Introduction In IBM Streams 4.2, we have added support for authoring rules compatible with the Operational Decision Manager (ODM) product in Streams Studio, converting them...

Cybersecurity Toolkit – What’s New!

Cybersecurity Toolkit – What’s New! The Cybersecurity Toolkit provides operators that are capable of analyzing DNS response records. The operators in this toolkit use machine...

Tutorial for Streaming Telecommunications Event Data Analytics (TEDA)

TEDA tutorial now available! Check out how to develop mediation applications using the Telecommunications Event Data Analytics toolkit.

Real-Time Decomposition of Time Series

The STD2 operator is capable of performing online decomposition of a time series. More specifically, the STD2 operator is capable of ingesting a time series...

Streaming Analytics Airport Sentiment Demo

This article describes a demo application that runs on the Bluemix Streaming Analytics Service in the cloud. It uses a Streams Application to read...

Getting Started with Streaming Telecommunications Event Data Analytics (TEDA)

In this Getting Started article, we will sketch the typical workflow to setup a mediation application that is able to process large volumes of data...