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Amazon Quick adds S3 Tables for direct data lake querying and AI analytics

Amazon Quick has introduced a new feature, Amazon S3 Tables, which allows users to directly query and visualize Apache Iceberg tables stored in Amazon S3. This integration aims to streamline data architectures by eliminating the need for intermediate data layers, thereby reducing latency and operational complexity. The new capability supports near real-time analytics and decision-making, enabling businesses to leverage their data lakes as a central source of truth for AI-driven insights. AI

Summary written by gemini-2.5-flash-lite from 2 sources. How we write summaries →

IMPACT Simplifies data access for AI analytics, potentially accelerating insight generation from data lakes.

RANK_REASON Launch of a new data source feature for an existing analytics product.

Read on Mastodon — sigmoid.social →

COVERAGE [2]

  1. AWS Machine Learning Blog TIER_1 · Raji Sivasubramaniam ·

    From data lake to AI-ready analytics: Introducing new data source with S3 Tables in Amazon Quick

    Amazon Quick introduces Amazon S3 Tables (Apache Iceberg tables) as a new data source. With this feature, customers can directly query and visualize Apache Iceberg tables stored in an Amazon S3 table bucket without the need for intermediate data layers. In this post, we explored …

  2. Mastodon — sigmoid.social TIER_1 · [email protected] ·

    🤖 From data lake to AI-ready analytics: Introducing new data source with S3 Tables in Amazon Quick Amazon Quick introduces Amazon S3 Tables (Apache Iceberg tabl

    🤖 From data lake to AI-ready analytics: Introducing new data source with S3 Tables in Amazon Quick Amazon Quick introduces Amazon S3 Tables (Apache Iceberg tables) as a new data source. With this feature, customers can directly query and visualize Apache Iceberg tables stored in …