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Снимки на екрана

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Видеоклипове в YouTube

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Детайли

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Основни характеристики на IBM Streams

• Resiliency
  Streams can recover from failures and keep data safe, even if systems go down.
• Spark Analytics
  Integrate Spark MLlib models into your Streams apps to do continuous, in-stream analytics.
• Video Tutorials
  There are videos to show how Streams work and how to use features like monitoring and computing averages.
• Cloud Deployment
  You can develop Streams applications locally and deploy them easily to IBM Cloud's Streaming Analytics service.
• Development APIs
  Develop Streams applications easily with Java, using simple APIs that many Java programmers already know.
• Graphical Editor
  You can build and edit Streams applications visually using an easy drag-and-drop interface in Streams Studio.
• Sample Notebooks
  There are example notebooks showing how to build Streams applications in Python.
• Development Tools
  You can develop Streams applications using Microsoft VS Code without installing the runtime.
• Excel Integration
  Live streaming data can be sent to Microsoft Excel, where your charts update in real time.
• High Availability
  Streams automatically restart services and processing when hosts go offline, with features to prevent data loss.
• Learning Resources
  IBM offers tutorials, courses, guides, and starter kits to help you learn Streams.
• Apache Beam Support
  Run Apache Beam pipelines on IBM Cloud with the Streams runner for Apache Beam.
• Sample Applications
  There are over 160 ready-to-use examples, from simple to complex.
• Streams Integration
  Streams is now part of IBM Cloud Pak for Data for better data integration.
• Geospatial Analytics
  Streams can analyze location data from moving devices like smartphones and cars in real time.
• Performance Benefits
  Streams is much faster and uses less CPU compared to Apache Storm, making decisions based on real-time data.
• Creating Applications
  You can create Streams applications in Python using IBM Watson Studio and see results on a map.
• Cybersecurity Toolkit
  Use real-time processing to detect and respond to network security threats quickly.
• Time Series Analytics
  Streams can analyze data that changes over time, like sensor readings or sales figures, instantly.
• Maximizing Performance
  Follow best practices to get the best speed and efficiency from your Streams setup.
• Configuration and Monitoring
  The Admin Console helps you set up, monitor, and manage your Streams environment quickly and easily.

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Значки

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Алтернативи на IBM Streams

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