Какое разнообразие объемов данных вы знакомы и можете назвать?

In the context of DevOps and working with data, several types of data volumes are usually distinguished:

• Small Data: Small volumes that are easy to process on local machines.
• Big Data: Very large volumes of data that require distributed storage and processing systems (e.g., Hadoop, Spark).
• Streaming Data: Continuously incoming data in real-time (e.g., logs, events), processed by streaming systems.
• Archive Data: Data stored for a long time and rarely used, often moved to cold storage.

Understanding these types helps in choosing suitable tools and architecture for storing and processing data.