AWS Storage Blog

Category: Analytics

Amazon S3 Object Lock

Applying Amazon S3 Object Lock at scale for petabytes of existing data

Organizations with petabytes of data in the cloud need a way to apply immutable storage protections to data that’s already been stored—whether for regulatory compliance or cyber resilience. Although you can enable write-once-read-many (WORM) controls for newly created storage, applying these protections to existing enterprise data at scale requires a systematic approach. Regulated industries have […]

Amazon S3 Tables

Real-time fleet tracking using AWS IoT Core, Amazon S3 Tables, and Amazon Quick Sight

The fast pace of the logistics industry necessitates real-time vehicle fleet tracking for maintaining a competitive edge and meeting customer expectations. Traditional methods often provide delayed or incomplete information, leading to inefficiencies and missed opportunities. The demand for accurate, up-to-the-minute data on vehicle locations, driver behavior, and route performance has never been higher. Companies need […]

Amazon S3 Tables

Building an open warehouse architecture: Supabase’s integration with Amazon S3 Tables

As applications scale, developers face a persistent challenge: analytical queries that slow down transactional databases, force them to copy data across multiple proprietary tools, and create disconnected data silos. For the 5 million developers building on Supabase, an open source Postgres development platform, this tension between operational and analytical workloads has become increasingly critical. The […]

Build intelligent ETL pipelines using AWS Model Context Protocol and Amazon Q

Data scientists and engineers spend hours writing complex data pipelines to extract, transform, and load (ETL) data from various sources into their data lakes for data integration and creating unified data models to build business insights. The process involves understanding the source and target systems, discovering schemas, mapping source and target, writing and testing ETL […]

Optimizing recommendations and analytics using Amazon DynamoDB and Amazon S3

Today, consumers navigate thousands of products on e-commerce sites, hundreds of shows on streaming platforms, and countless options in digital marketplaces. This choice overload creates decision fatigue, yet consumers continue to demand more variety and make more purchases online. As a result, personalization has become essential—consumers reward brands that deliver relevant, tailored online experiences. However, […]

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Derive intelligent storage insights using S3 Metadata and Model Context Protocol (MCP)

Organizations face mounting challenges in managing and operationalizing their ever-growing data assets for machine learning and analytics workflows. When dealing with billions and trillions of objects, teams struggle to find what data they have and how to efficiently find specific datasets. Without proper data discovery and metadata management, teams spend valuable time searching for relevant […]

Amazon S3 Tables

How Zeta Global scales multi-tenant data ingestion with Amazon S3 Tables

Zeta Global is a data-driven marketing technology company that uses consumer insights to empower brands in customer acquisition, growth, and retention. At the core of its operations is the Zeta Marketing Platform, an advanced system that applies sophisticated AI and machine learning (ML) capabilities on proprietary data from over 245 million U.S. consumer profiles. This […]

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Efficiently verify Amazon S3 data at scale with compute checksum operation

Organizations across industries must regularly verify the integrity of their stored datasets to protect valuable information, satisfy compliance requirements, and preserve trust. Media and entertainment customers validate assets to make sure that content remains intact, financial institutions run integrity checks to meet regulatory obligations, and research institutions confirm the reproducibility of scientific results. These verifications […]

Amazon S3 Tables

Faster threat detection at scale: Real-time cybersecurity graph analytics with PuppyGraph and Amazon S3 Tables

Modern cybersecurity teams are facing unprecedented challenges in data analysis by the scale, complexity, and velocity of data. Cloud environments continuously generate massive amounts information in form of access logs, configuration changes, alerts, and telemetry. Traditional analysis methods of looking at these data points in isolation can’t effectively detect threats such as lateral movement and […]

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Cloud-powered tick data: revolutionizing financial data storage with Amazon S3 and LSEG

Data has become the lifeblood of modern financial markets, driving everything from investment decisions to regulatory compliance. Nowhere is this more evident than in electronic trading, where the ability to efficiently store, process, and analyze historical market data can make the difference between success and failure. Market participants are witnessing an unprecedented surge in tick […]