Here is the answer of the question: Which challenge is Cloud IoT designed to address?
- Organizations ﬁnd it diﬃcult to stay ahead when they continuously have to accommodate new data sources and more data without sacriﬁcing eﬃciency.
- Accepting that most devices can theoretically be connected to a network, building and managing such networks in a global, secure way—and then getting data out of them for analysis—is complex and diﬃcult for organizations.
- Multiple data marts are ineﬃcient: they are complex and costly, and they make data diﬃcult to use.
- Organizations that want to take advantage of machine learning need to centralize their data with a managed data store that can consolidate structured and semi-structured data.
The above question is related to “Google Cloud Platform Business Professional Accreditation“. You can find all the updated questions and answers related to to “Google Cloud Platform Business Professional Accreditation” on the “Google Cloud Platform Business Professional Accreditation” page. If you find the update in question or answers, do comment on this page and let us know. We will update the answers as soon as possible.
Subscribe to our mailing list and get interesting stuff and updates to your email inbox.