Transform your data swamp into a streamlined data lake with Amazon S3 Tables - solving 4 critical data problems in minutes Here's how #AmazonS3 Tables revolutionizes data management: 1/ Schema evolution made simple 2/ ACID transactions in data lakes 3/ Time travel queries 4/ Automatic File Compaction S3 Tables handles ALL the heavy lifting - compaction, optimization, and maintenance are completely automated. https://go.aws/4p459FZ | Amazon Web Services
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托管式 SQL 数据库 — Amazon Relational Database Service（RDS）— AWS
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1.4K reactions · 43 shares | Move past modernization obstacles with generative AI-led transformation. ☁️ With Amazon Q Developer transformation capabilities, developers & modernization teams can leverage generative AI agents to automate & accelerate .NET porting from Windows to Linux by up to 4 times—trimming operating costs up to 40%. ️ https://go.aws/3D0qpKb | Amazon Web Services | Facebook
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1.5K reactions · 11 shares | Rest easy, your global data stays in sync.  Amazon DynamoDB global tables with multi-Region strong consistency delivers 99.999% availability, giving your applications access to the latest data from any Region. ️ https://go.aws/4l2ZPBn | Amazon Web Services | Facebook
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527 reactions · 25 shares | Reach further with the power of the AWS Cloud. ☁️ Amazon MemoryDB Multi-Region, an active-active, multi-Region database, enables customers to build apps to deliver microsecond read & single-digit millisecond write latency—so you can run multi-Region applications quickly from anywhere in the world. ️ https://go.aws/3ZwZC0N | Amazon Web Services | Facebook
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527 reactions · 25 shares | Reach further with the power of the AWS …
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Latency be gone! ⚡️ 💻⚡️ With Amazon MemoryDB for Redis, you can now store data durably, but with the flexibility and speed of open source Redis —with read latency as low as a microsecond and single-digit millisecond write latency. aws.amazon.com/memorydb | Amazon Web Services
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