From the course: AWS Certified Machine Learning - Specialty (MLS-C01) Cert Prep: 1 Data Engineering

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Determine storage mediums

Determine storage mediums - Amazon Web Services (AWS) Tutorial

From the course: AWS Certified Machine Learning - Specialty (MLS-C01) Cert Prep: 1 Data Engineering

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Determine storage mediums

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- [Instructor] AWS has a variety of different storage mediums, including lots of different databases. So if you look at the kinds of databases available, we have key-value databases like DynamoDB, which are ideal for user records or other game stats. There are also graph databases like Neptune, which allow you to do relationship building and many times, this could be an important part of a new data science workflow. Identifying who is the key figure in a particular social graph. And there are different descriptive statistics, like centrality. In terms of SQL, there's also Amazon Aurora, also RDS. These SQL databases are great for doing traditional transactional-based queries. Another type of storage medium is the data lake. Now, the data lake is built on top of S3, which is available from a compute and storage perspective at infinite scale or near infinite scale. But the data lake adds metadata on top of it so…

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