Transcription of Data Warehousing on AWS
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Data Warehousing on AWS
data Warehousing on AWS January 2021 Notices Customers are responsible for making their own independent assessment of the information in this document. This document: (a) is for informational purposes only, (b) represents current AWS product offerings and practices, which are subject to change without notice, and (c) does not create any commitments or assurances from AWS and its affiliates, suppliers or licensors. AWS products or services are provided as is without warranties, representations, or conditions of any kind, whether express or implied. The responsibilities and liabilities of AWS to its customers are controlled by AWS agreements, and this document is not part of, nor does it modify, any agreement between AWS and its customers. 2020 amazon Web services , Inc. or its affiliates. All rights reserved. Contents Introduction .. 1 Introducing amazon Redshift .. 2 Modern Analytics and data Warehousing Architecture .. 3 AWS Analytics services .. 3 Analytics 4 data Warehouse Technology Options.
Amazon Web Services Data Warehousing on AWS 4 3. A fully integrated analytics stack with a mature set of analytics tools, covering all common use cases and leveraging open file formats, standard SQL language, open-source engines, and platforms. 4. The best performance, the most scalability, and the lowest cost for analytics.
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