Amazon S3 Tables - Analytics Optimised Storage

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Code Impact

Sanket Makhija

72 episodes

5 days ago

Welcome to "Code Impact," the podcast where we explore code that has an impact. Each episode dives deep into real-world stories, practical case studies, and expert insights, showcasing the powerful impact of code on performance, accessibility, and user experience. Whether you're a seasoned developer or just starting your journey, "Code Impact" delivers the tools, tips, and inspiration you need to create meaningful and high-performing products. Join us as we uncover the ways coding is transforming industries and making a difference—one line at a time. NotebookLM creates all episodes.

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Amazon S3 Tables - Analytics Optimised Storage

Code Impact

14 minutes 17 seconds

10 months ago

Amazon S3 Tables - Analytics Optimised Storage

Amazon Web Services (AWS) has launched Amazon S3 Tables, a new storage service optimised for analytical workloads. These tables, stored in a new type of S3 bucket, utilise the Apache Iceberg format for efficient querying with tools like Amazon Athena and Apache Spark. Offering significant performance improvements (up to 3x faster queries and 10x more transactions per second) over self-managed solutions, S3 Tables provide fully managed features including automatic compaction, snapshot management, and unreferenced file removal. The service integrates with other AWS analytics services and supports standard S3 APIs, offering enhanced security and scalability. Currently available in select US regions, S3 Tables are designed to streamline large-scale data analytics.