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tagged with all of: scalability + data-management
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The article introduces object storage as a scalable and flexible solution for storing large amounts of unstructured data. It discusses its advantages over traditional storage methods and provides guidance on selecting the right object storage service for various applications. Key considerations include cost, accessibility, and data management features.
OpenAI utilizes ClickHouse for its observability needs due to its ability to handle petabyte-scale data efficiently. The article highlights the advantages of ClickHouse, such as speed, scalability, and reliability, which are crucial for monitoring and analysis in large-scale AI operations. It discusses how these features support OpenAI's goals in data management and performance monitoring.
The article discusses the importance of using Iceberg in data management to enhance performance and scalability. It emphasizes the need for a more efficient approach to handling large datasets and suggests best practices for implementing Iceberg in data workflows. Additionally, it highlights the potential benefits of optimizing data storage and retrieval processes.