All Videos

Streams v5.2 on Kubernetes/Red Hat OpenShift: Installation

Streams v5.2 is a cloud-native application runtime environment. This means it can also be installed on Red Hat OpenShift or Kubernetes environments. When Streams is...

Streams v5.2 on Kubernetes/Red Hat OpenShift: Overview

The release of Streams v5.2 includes a change in the overall architecture of the platform. Streams v5.2 is a cloud-native application runtime environment. This means...

Score streaming data with R and Watson Studio Streams Flows

This video demonstrates how you can create a simple microservice that uses the R toolkit to score a model in R. The data to score...

Using parameters when launching Streams applications

Submission time values are parameters passed to your application at launch time. They increase the flexibility and testability of your Streams applications. This video shows...

Video: Deploy and monitor a Streams instance in Cloud Pak for Data

The latest release of Streams for Cloud Pak for Data includes some features to help you monitor the status of a Streams instance. This video...

Run an application in IBM Cloud Pak for Data using Atom

If you have SPL applications that you would like to run on the Streams add on in IBM Cloud Pak for Data, you can use...

Video: Connect to Event Streams from a Streams Python application

This video shows how to use the streamsx.eventstreams package to connect to IBM Event Streams in an application running in IBM Streams. The Streams application...

Video: Connect to Db2 Warehouse from a Streams Python application

This video shows how to use the streamsx.database Database package to perform SQL queries in an application running in IBM Streams. The Streams application is...

Video: Score PMML models in real-time using IBM Streams

This video shows how to use the streamsx.pmml Python package to perform scoring with a PMML model and viewing the results. The Streams application is...

Video: Connect to Db2 Event Store from a Streams Python application

This video shows how to use the streamsx.eventstore Python package to send streaming data into Db2 Event Store.  Db2 Event Store is capable of ingesting ...

Installing external toolkits for Streams development using Atom or VS Code

This video shows how to install and use additional toolkits when developing Streams applications using Atom or Microsoft VS Code. In the video, I walk...

Streams Introduction

A quick overview of Streams and its features. Next, follow this guide to deploy the sample application in the Streaming analytics service.

Get started with streaming analytics in Python with IBM Cloud Private for Data

As announced earlier, Streams is now available as an add-on to IBM Cloud Private for Data. This means that you can use the IBM Streams...

Watson Studio: Predict the correct drug for a patient using Streams Flows and Predictive Modelling

Streams and IBM Watson Studio help you tackle the unique problem of applying data science models to real time data. For example, you might have...

Compute time based averages using the Aggregate operator

A common problem with real time analytics is answering questions like “what is the average temperature over the last 30 seconds?”  The Aggregate operator in...

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