64 lines
2.2 KiB
Markdown
64 lines
2.2 KiB
Markdown
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---
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date: '2022-11-23T10:27:40'
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hypothesis-meta:
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created: '2022-11-23T10:27:40.587505+00:00'
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document:
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title:
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- How to architect the perfect Data Warehouse
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flagged: false
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group: __world__
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hidden: false
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id: dWHZzGsZEe25P7NsRpHeAg
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links:
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html: https://hypothes.is/a/dWHZzGsZEe25P7NsRpHeAg
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incontext: https://hyp.is/dWHZzGsZEe25P7NsRpHeAg/scribe.rip/how-to-architect-the-perfect-data-warehouse-b3af2e01342e
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json: https://hypothes.is/api/annotations/dWHZzGsZEe25P7NsRpHeAg
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permissions:
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admin:
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- acct:ravenscroftj@hypothes.is
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delete:
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- acct:ravenscroftj@hypothes.is
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read:
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- group:__world__
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update:
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- acct:ravenscroftj@hypothes.is
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tags:
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- ELT
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- data-engineering
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target:
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- selector:
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type: RangeSelector
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- end: 1816
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start: 1600
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type: TextPositionSelector
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- exact: "One example could be putting all files into an Amazon S3 bucket. It\u2019\
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s versatile, cheap and integrates with many technologies. If you are using\
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\ Redshift for your data warehouse, it has great integration with that too."
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prefix: loading into the data warehouse.
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suffix: StagingThe staging area is the b
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type: TextQuoteSelector
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source: https://scribe.rip/how-to-architect-the-perfect-data-warehouse-b3af2e01342e
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text: Essentially the raw data needs to be vaguely homogenised and put into a single
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place
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updated: '2022-11-23T10:27:40.587505+00:00'
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uri: https://scribe.rip/how-to-architect-the-perfect-data-warehouse-b3af2e01342e
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user: acct:ravenscroftj@hypothes.is
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user_info:
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display_name: James Ravenscroft
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in-reply-to: https://scribe.rip/how-to-architect-the-perfect-data-warehouse-b3af2e01342e
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tags:
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- ELT
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- data-engineering
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- hypothesis
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type: reply
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url: /replies/2022/11/23/1669199260
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---
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<blockquote>One example could be putting all files into an Amazon S3 bucket. It’s versatile, cheap and integrates with many technologies. If you are using Redshift for your data warehouse, it has great integration with that too.</blockquote>Essentially the raw data needs to be vaguely homogenised and put into a single place
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