AWS Storage Blog
Category: Security, Identity, & Compliance
Understanding Amazon S3 client-side encryption options
Encryption serves a fundamental role in securing sensitive data both in transit and at rest. Server-side encryption offers simplicity and ease of implementation, with data encrypted where stored, and enables seamless integration with other services. In contrast, client-side encryption secures data where ingested or created, and offers additional capabilities to meet specific security requirements around […]
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 […]
How FICO modernizes file transfers with ETL automation using AWS Transfer Family
FICO powers decisions that help people and businesses around the world prosper. Using FICO solutions, businesses in more than 80 countries do everything from protecting four billion payment cards from fraud, to improving financial inclusion, and increasing supply chain resiliency. As a global leader in credit scoring and analytics, FICO processes massive volumes of sensitive […]
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 […]
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 […]
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 […]
Build a data lake for streaming data with Amazon S3 Tables and Amazon Data Firehose
Businesses are increasingly adopting real-time data processing to stay ahead of user expectations and market changes. Industries such as retail, finance, manufacturing, and smart cities are using streaming data for everything from optimizing supply chains to detecting fraud and improving urban planning. The ability to use data as it is generated has become a critical […]
Event-driven framework to integrate AWS Backup service with CSPM tools
Many organizations use third-party Cloud Security Posture Management (CSPM) tools (for example Wiz.io) to continuously detect and remediate misconfiguration from build time to runtime across hybrid clouds such as AWS. CSPM tools often use AWS resource tags to enhance their security and compliance monitoring capabilities. Tags are key-value pairs that you can assign to AWS resources […]
Access data in Amazon S3 Tables using PyIceberg through the AWS Glue Iceberg REST endpoint
Modern data lakes integrate with multiple engines to meet a wide range of analytics needs, from SQL querying to stream processing. A key enabler of this approach is the adoption of Apache Iceberg as the open table format for building transactional data lakes. However, as the Iceberg ecosystem expands, the growing variety of engines and languages has […]
Enhancing resource-level permission for creating an Amazon EBS volume from a snapshot
Businesses use Amazon Elastic Block Store (Amazon EBS) snapshots to capture point-in-time copies of application data volumes that can serve as baseline standards when creating new volumes. This enables them to quickly launch application workloads in different AWS Regions or meet data protection and disaster recovery requirements. Security and regulatory compliance remain top priorities as […]