AWS Storage Blog

Category: Analytics

Amazon S3 Tables

From raw to refined: building a data quality pipeline with AWS Glue and Amazon S3 Tables

Organizations often struggle to extract maximum value from their data lakes when running generative AI and analytics workloads due to data quality challenges. Although data lakes excel at storing massive amounts of raw, diverse data, they need robust governance and management practices to prevent common quality issues. Without proper data validation, cleansing processes, and ongoing […]

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University of California Irvine backs up petabytes of research data to AWS

Editor’s note: AWS is not responsible for UCI’s public GitHub repo linked in this post, which has been provided so that interested parties can explore the solution described in this post in more detail. The University of California, Irvine (UCI) is a public land-grant research university with troves of research data stored on servers in […]

Amazon S3 Tables

How to consume tabular data from Amazon S3 Tables for insights and business reporting

When was the last time you found yourself trying to look at rows and rows of data in a spreadsheet struggling to interpret and draw conclusions? Many analysts and engineers experience the same challenge every day. Whether it’s analyzing sales trends, monitoring operational metrics, or understanding customer behavior, the challenge lies not just in interpreting […]

Amazon S3 Tables

How Pendulum achieves 6x faster processing and 40% cost reduction with Amazon S3 Tables

Pendulum is an AI-powered analytics platform that aggregates and analyzes real-time data from social media, news, and podcasts. Designed to help organizations stay ahead, it enables reputation monitoring, early crisis detection, and influencer activity tracking. Using machine learning (ML) enables Pendulum to surface key insights from multiple channels, providing a comprehensive view of the digital […]

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Bringing more to the table: How Amazon S3 Tables rapidly delivered new capabilities in the first 5 months

Amazon S3 redefined data storage when it launched as the first generally available AWS service in 2006 to deliver highly reliable, durable, secure, low-latency storage with virtually unlimited scale. While designed to deliver simple storage, S3 has proven to be built to handle the explosive growth of data we have seen in the last 19 […]

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Prime Video improved stream analytics performance with Amazon S3 Express One Zone

Amazon Prime Video provides a selection of original content and licensed movies and TV shows that you can stream or download as part of the Amazon Prime subscription. Prime Video’s telemetry platform serves as the backbone for monitoring playback performance, saving data snapshots for failure recovery, providing business analytics, and generating real-time insights across its […]

Amazon S3 Tables

Streamlining access to tabular datasets stored in Amazon S3 Tables with DuckDB

As businesses continue to rely on data-driven decision-making, there’s an increasing demand for tools that streamline and accelerate the process of data analysis. Efficiency and simplicity in application architecture can serve as a competitive edge when driving high-stakes decisions. Developers are seeking lightweight, flexible tools that seamlessly integrate with their existing application stack, specifically solutions […]

Amazon S3 Tables

Seamless streaming to Amazon S3 Tables with StreamNative Ursa Engine

Organizations are modernizing data platforms to use generative AI by centralizing data from various sources and streaming real-time data into data lakes. A strong data foundation, such as scalable storage, reliable ingestion pipelines, and interoperable formats, is critical for businesses to discover, explore, and consume data. As organizations modernize their platforms, they often turn to […]

Amazon S3 Tables

Connect Snowflake to S3 Tables using the SageMaker Lakehouse Iceberg REST endpoint

Organizations today seek data analytics solutions that provide maximum flexibility and accessibility. Customers need their data to be readily available using their preferred query engines, and break down barriers across different computing environments. At the same time, they want a single copy of data to be used across these solutions, to track lineage, be cost […]

Amazon S3 Tables

Build a managed Apache Iceberg data lake using Starburst and Amazon S3 Tables

Managing large-scale data analytics across diverse data sources has long been a challenge for enterprises. Data teams often struggle with complex data lake configurations, performance bottlenecks, and the need to maintain consistent data governance while enabling broad access to analytics capabilities. Today, Starburst announces a powerful solution to these challenges by extending their Apache Iceberg […]