From the course: Cloud Computing: Understanding Core Concepts
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Leverage compute and storage at scale
From the course: Cloud Computing: Understanding Core Concepts
Leverage compute and storage at scale
- In this case study, an investment firm has massive data to store and use, requiring 10 petabytes. The data is historical transaction data that needs to be leveraged to train the new generative AI systems that will assist them in picking stocks. The data will only be leveraged a few times a year for AI training purposes, and will be updated weekly from transactional trading data that will be gathered. The company has no private data center, and is 100% already in the cloud. There is no special security restrictions on this data other than leveraging encryption in-flight, as the data moves into the database, and at rest, as it's stored in the database. So, what is the right solution for this use case? Considering the massive amount of data, the requirements around security, and the fact that it's leveraged as training data for AI, a public cloud platform is likely the best path for this use case for the following reasons. Pay-as-you-go pricing means that the bill size grows with the…
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