Category: Amazon Simple Storage Service (S3)

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 […]

UPDATE (4/29/25): Additional permissions beyond the AWS Backup default role are required to create Amazon EBS backup indexes and perform EBS file level restore. Instructions on ensuring you add the additional required permissions have been added to the post. Recovering data after a disaster or a ransomware incident headlines today’s news. But in the day-to-day, […]

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 […]

UPDATE (1/27/2025): Amazon S3 Metadata is generally available. UPDATE (7/15/2025): Amazon S3 Metadata releases live inventory tables. This blog post has been edited to reflect the current process. Object storage provides virtually unlimited scalability, but managing billions, or even trillions, of objects can pose significant challenges. How do you know what data you have? How can […]

UPDATE (12/19/2024): Added guidance for Amazon EMR setup. Customers commonly use Apache Iceberg today to manage ever-growing volumes of data. Apache Iceberg’s relational database transaction capabilities (ACID transactions) help customers deal with frequent updates, deletions, and the need for transactional consistency across datasets. However, getting the most out of Apache Iceberg tables and running it […]

Today businesses managing petabytes of data must optimize storage and processing to drive timely insights while being cost-effective. Customers often choose Apache Parquet for improved storage and query performance. Additionally, customers use Apache Iceberg to organize Parquet datasets to take advantage of its database-like features such as schema evolution, time travel, and ACID transactions. Customers […]

Many businesses recognize the critical importance of safeguarding their essential data from potential disasters such as fires, floods, or ransomware events. Designing an effective disaster recovery (DR) strategy includes thoughtfully evaluating and selecting cost-effective solutions that fulfill compliance requirements. By using Amazon S3 features such as S3 object tags, S3 Versioning, and S3 Lifecycle, you can […]

Fundrise is a financial technology company that brings alternative investments directly to individual investors. With more than 2 million users, Fundrise is one of the leading platforms of its kind in the United States. The challenge of providing a smooth, secure, and transparent experience for millions of users is largely unprecedented in the alternative investment […]

In today’s data-driven business landscape, organizations are increasingly relying on massive data lakes to store, process, and analyze vast amounts of information. However, as these data repositories grow to petabyte scale, a key challenge for businesses is implementing transactional capabilities on their data lakes efficiently. The sheer volume of data requires immense computational power and […]