Tag: Amazon Simple Storage Service (Amazon S3)

Organizations of all sizes face a common challenge: efficiently managing, organizing, and retrieving vast amounts of digital content. From images and videos to documents and application data, businesses are inundated with information that needs to be stored securely, accessed quickly, and analyzed effectively. The ability to extract, manage, and use metadata from this content is […]

Large organizations and software as a service (SaaS) platforms often share storage resources across multiple users, groups, or tenants. The design pattern chosen to implement this shared storage can significantly impact how access permissions are managed at scale. This decision is key because it directly affects platforms’ security and ease of scale. A well thought […]

Healthcare and life sciences (HCLS) customers are generating more data than ever as they integrate the use of omics data with applications in drug discovery, clinical development, molecular diagnostics, and population health. The rate and volume of data that HCLS laboratories generate are a reflection of their lab instrumentation and day-to-day lab operations. Efficiently moving […]

Many customers are growing their data footprints rapidly, with significantly more data stored in their relational database management systems (RDBMS) than ever before. Additionally, organizations subject to data compliance including the Health Insurance Portability and Accountability Act (HIPAA), the Payment Card Industry Data Security Standard (PCI-DSS) and General Data Protection Regulation (GDPR) are often required […]

According to a study by the International Data Corporation (IDC), the global datasphere is expected to grow from 33 zettabytes (ZB) in 2018 to 175 ZB by 2025, a staggering five-fold increase. Organizations that leverage distributed architectures generate a significant portion of their data footprint from observability data, including application logs, metrics, and traces, which […]

In today’s data-driven world, safeguarding critical information stored in Oracle databases is crucial for enterprises. Companies struggle to efficiently backing up vast amounts of data from hundreds of databases powering enterprise resource planning (ERP) systems and critical applications. These backups must be secure, durable, and easily restorable to ensure business continuity, guard against ransomware, and […]

As part of my re:Invent 2024 Innovation Talk, I shared three data patterns that many of our largest AWS customers have adopted. This article focuses on “Extend” which is an emerging data pattern. You can also watch this four-minute video clip on the Extend data pattern if interested. Many companies find great success with the […]

As part of my re:Invent 2024 Innovation talk, I shared three data patterns that many of our largest AWS customers have adopted. This article focuses on the “Aggregate” cloud data pattern, which is the most commonly adopted across AWS customers. You can also watch this six-minute video clip on the Aggregate data pattern for a […]

As part of my re:Invent 2024 Innovation talk, I shared three data patterns that many of our largest AWS customers have adopted. This article focuses on the “Curate” data pattern, which we have seen more AWS customers adopt in the last 12-18 months as they look to leverage data sets for both analytics and AI […]

At AWS re:Invent, I do an Innovation Talk on the emerging data trends that shape the direction of cloud data strategies. Last year, I talked about Putting Your Data to Work with Generative AI, which not only covered how data is used with foundation models, but also how businesses should think about storing and classifying […]