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Analyze streaming data with Python and Cloud Pak for Data

Imagine you are a developer for an energy company and you would like to continuously ingest and analyze data from thousands of sensors in the field. You would like to compute some statistics for each sensor, such as the rolling average, and then store that data or further analyze it by applying...

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Library Entry
Optional Data Types in the SPL Programming Language

Streams 4.3 introduced a new type to the SPL programming language to better allow Streams applications to interoperate with external data sources such as databases and JSON data. Previously, there was no straightforward way for SPL developers to handle tuple attributes that had no value. For...

Library Entry
New to Streams? Start Here

If you're new to Streams, this page has all you need to get started. What is Streams? Watch a video overview of Streams and some of its features. How do I get started with Streams? Get started with Python, SPL, or Streams Flows. Find a sample Search for sample applications...

Library Entry
Passing parameters to an operator in a parallel region

The documentation for User-Defined Parallelism presents an example of using a FileSource inside of a UDP region: @parallel(width=3) stream<uint64 i> Output = FileSource() ( param file: "input" + (rstring)getChannel() + ".csv"; ) If the above FileSource invocation...

Library Entry
Score PMML models in real-time with Python and 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 created in a Python notebook running in IBM Cloud Pak for Data, but this API can be used on a local Streams installation or the Streaming...

Library Entry
How to use local files in a Streams notebook in Cloud Pak for Data

The Streams Python development guide mentions how you can quickly read local files from a Python application . However, what if the file is in a project in Cloud Pak for Data? How can you access files in a project from a Streams notebook? In this post I’ll cover how you can use data from a...

Library Entry
Store and Graph Streaming Data with the Elasticsearch Toolkit

Elasticsearch is a distributed RESTful search engine that provides near real-time (NRT) search and provides various sets of APIs (RESTful, Java, etc.) for storing and accessing documents. With the new Elasticsearch toolkit, you can effortlessly store your Streams data in Elasticsearch. This...

Library Entry
Anomaly Detection in Streams

This article was originally published by James Cancilla. This article demonstrates how to use the AnomalyDetector operator, which is capable of detecting anomalous subsequences in a streaming time series. Introduction The AnomalyDetector operator is capable of performing online anomaly...

Library Entry
Analytics Microservice Architecture with IBM Streams

This article was written by Daniel Debrunner. Microservice architecture said: " The term "Microservice Architecture" has sprung up over the last few years to describe a particular way of designing software applications as suites of independently deployable services. " See...

Library Entry
Video v3.0: DataStage Data Transformation

DataStage in Cloud Pak for Data is a data integration offering for designing and running data flows that move and transform data. Create a simple parallel job This videos shows you how to create a simple data transformation job in IBM Cloud Pak for Data. Create a job from a template - Db2...