This learning path is designed for anyone interested in quickly getting up to speed with IBM Streams — an advanced analytics platform that allows you to develop applications that analyze data in real time. With IBM Streams, you can ingest and correlate data from thousands of sources in real time; continuously analyze data with low-latency response times; and create apps that score machine learning models in real time, allowing you to detect patterns and trends as they occur. And IBM Streams apps can be created with popular languages like Java, Python and C++.
To get started, click on a card below.
Introduction to IBM Streams
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Create your first IBM Streams app without writing code
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Ingest data from Apache Kafka
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Build a streaming app using a Python API
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Access streaming data with REST services
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Score streaming data with a machine learning model
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