Design a scalable and secure data lake architecture for ingesting, storing, and processing [data_type] for advanced analytics and machine learning workloads.
Task: generate a summary of a video. Input: [video title], [video transcript], [length of summary: e.g., 100 words, 200 words] Instruction: summarize the video transcript, focusing on the main topics and key takeaways. The summary should be concise and informative, providing a clear overview of the video's content. Adhere to the specified length constraint.
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Design a robust and scalable real-time data streaming pipeline, specifying components, data flow, technologies, and considerations for fault tolerance.
Outline a robust architecture for a real-time data processing pipeline, specifying components, data flow, and considerations for low latency and high throughput.
Create a NoSQL database model (e.g., document, key-value, graph) for a specific use case, outlining data structures and access patterns.
