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  2. Amazon Redshift Uses Machine Learning to Deliver the Best Price Performance at Any Scale. Amazon Redshift'S Price-Performance Advantage Improves as Your Data Warehouse Grows.

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  1. Amazon Redshift data sharing supports centralized access control with AWS Lake formation to simplify governance of data shared from Amazon Redshift. AWS Lake Formation (LF) is a service that makes it easy to set up secure data lakes, to centrally manage granular access to data across all consuming services, and to apply row level and column level controls.

  2. AWS Data Exchange에서 시장 데이터, 소셜 미디어 분석, 날씨 데이터와 같은 서드 파티 데이터를 구독하고 Amazon Redshift의 데이터와 결합할 수 있습니다. 라이선스 및 온보딩 프로세스와 데이터를 웨어하우스로 이동하는 번거로운 과정을 거치지 않아도 됩니다.

  3. Redshift enables streamlined data ingestion with no-code, automated data pipelines that ingest streaming data or Amazon S3 files automatically. Redshift is also integrated with AWS Data Exchange enabling users to find, subscribe to, and query third party datasets and combine with their data for comprehensive insights.

  4. Amazon Redshift is based on PostgreSQL. Amazon Redshift and PostgreSQL have a number of very important differences that you need to take into account as you design and develop your data warehouse applications. For information about how Amazon Redshift SQL differs from PostgreSQL, see Amazon Redshift and PostgreSQL.

  5. Amazon Redshift is a data warehouse product which forms part of the larger cloud-computing platform Amazon Web Services. It is built on top of technology from the massive parallel processing (MPP) data warehouse company ParAccel (later acquired by Actian), to handle large scale data sets and database migrations. Redshift differs from Amazon's other hosted database offering, Amazon RDS, in its ...

  6. 如果您希望手动管理 Amazon Redshift 资源,则可以创建预置集群来满足自己的数据查询需求。有关更多信息,请参阅 Amazon Redshift 集群。 作为应用程序开发人员,您可以使用 Amazon Redshift API 或 AWS 软件开发工具包(SDK)库以编程方式管理集群。

  7. Amazon Redshift 文档 - Welcome to AWS Documentation

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