What is the primary purpose of data compression in streaming data operations?

The primary purpose of data compression in streaming data operations is to reduce storage space and bandwidth requirements. In the context of streaming data, which involves continuous flow and transmission of data, efficient use of storage and network resources is crucial. By compressing data, the amount of space required to store the data is minimized, and the volume of data transmitted over networks is reduced, allowing for faster transfer rates and less congested bandwidth. This optimization is particularly important in environments where data streams can be large and frequent, such as in real-time analytics or Internet of Things (IoT) applications.

In contrast, improving data visualization, automating model building, or summarizing datasets may involve other techniques not directly tied to the purpose of compression, such as data transformation or processing methodologies. These tasks focus more on the analysis and presentation of data rather than on the efficiency of storing or transmitting it.