What are the most important considerations when wading into Big Data?

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CIO in Consumer Goods5 years ago

Data relevance, processing ability and aligned technology tool set

CTO5 years ago

Your ability to process it, both in terms of volume and speed. There is so much data that a corporation can access, but your ability to usefully consume it is another matter.

For us it would be customer privacy. There is a huge trust base that exists between us and our customers. We’ve got people who’ve traveled with us for literally 40 years. So for us the privacy of our guest information is critical.

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High Priority: This is a critical need. We want to run AI/vector workloads on our primary transactional data without relying on a separate database or a specialized analytics add-on.7%

Medium Priority: This would be a valuable feature for future projects. It would allow us to innovate on our core database, but it's not an immediate requirement.73%

Low Priority: This is a nice-to-have, but not essential. Our primary focus for MySQL remains on its traditional OLTP performance and stability.7%

Not a Priority: This is not a good fit for MySQL. We believe vector workloads are fundamentally different and are best handled by a dedicated system, keeping our core MySQL lean.13%

Unsure / Need More Information: We are not yet clear on the performance, security, or operational impact of integrating this capability into our core transactional engine.

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