From the course: Scalable Data Storage and Processing for AI Workloads
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Cloud storage on Google Cloud
From the course: Scalable Data Storage and Processing for AI Workloads
Cloud storage on Google Cloud
- [Instructor] We've discussed that blob storage is a very important kind of scalable elastic storage for unstructured data used in AI workloads. In this demo, I'll give you a quick tour of the object storage system on Google Cloud, Google Cloud Storage. Here I am logged into a Google Cloud account on a Google Cloud project. Use the navigation menu off to the left to view all products available on the Google Cloud. Object storage is available in the section Storage. Cloud Storage is Google's offering for elastic object storage for all kinds of workloads. All your data in Object Storage is stored within containers called buckets. And here I'm going to create our very first bucket. Now every bucket has a globally unique name. It's common practice to have a prefix for the name of your bucket that matches the prefix for your organization. Now, if you want to store data for data-intensive AI workloads, you should enable hierarchical name space on this bucket. Your data in your bucket will…
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Contents
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Storage requirements in the AI pipeline6m 58s
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(Locked)
Data storage in the AI workflow5m 37s
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AI storage considerations4m 53s
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(Locked)
AI storage best practices2m 9s
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(Locked)
Cloud storage on Google Cloud5m 24s
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(Locked)
Object storage with Amazon S35m 44s
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(Locked)
Blob storage on Azure5m 44s
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