A) Block Storage? Hmm, I'm not sure that's the best option here. Block storage is great for individual files, but it doesn't really seem like the right fit for this kind of large-scale data management problem.
D) File Storage might not be the best choice for this scenario. While it can store large amounts of data, it may not provide the necessary tools for managing and analyzing the dataset effectively.
C) Big Data is specifically designed for managing and analyzing large and complex datasets. It offers tools and technologies that can handle the volume, velocity, and variety of data that exceeds typical database software tools.
B) Containers could be a good option for managing and analyzing large datasets. They provide a lightweight and portable way to package and run applications, which could be useful for handling big data.
I'm going with C) Big Data. That's exactly what this question is asking for - a technology to handle large, complex datasets that can't be managed by traditional database tools. Big Data is the way to go!
B) Containers? Really? I don't think that's the right solution for this kind of data storage need. Containers are more for running applications, not for managing massive datasets.
D) File Storage sounds like the way to go here. Databases can only handle so much data, and this dataset exceeds that capacity. File storage seems like the logical choice to store and manage all that data.
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