Remove Auto-complete Remove Big Data Remove Data Ingestion
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Training Models on Streaming Data [Practical Guide]

The MLOps Blog

These days when you are listening to a song or a video, if you have auto-play on, the platform creates a playlist for you based on your real-time streaming data. It can be used to perform complex data processing tasks such as windowed aggregations, joins, and event-time processing.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

Core features of end-to-end MLOps platforms End-to-end MLOps platforms combine a wide range of essential capabilities and tools, which should include: Data management and preprocessing : Provide capabilities for data ingestion, storage, and preprocessing, allowing you to efficiently manage and prepare data for training and evaluation.