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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
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
Analytics Microservice Architecture with IBM Streams

This article was written by Daniel Debrunner. Microservice architecture MartinFowler.com 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
Sample Python notebooks for Cloud Pak for Data

The sample notebooks repository on GitHub contains examples of Streams Python applications that run in Cloud Pak for Data. The samples include examples on how to: Compute a rolling average on streaming data Connect to Db2 Warehouse, Db2 Event Store, IBM Event Streams, Apache Kafka, and...


Blog Entry
Get started with IBM Streams

If you're new to Streams, this page has all you need to get started . #streams-flows #streams #streaming-analytics

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