Amazon S3 is a fundamental building block for data lakes because of S3's scalability, durability, and flexibility. With its virtually unlimited storage capacity, S3 enables organizations to ingest, store, and manage vast amounts of structured and unstructured data from diverse sources. We outline why Amazon S3 is suitable for data lakes, the strategy to use, the best AWS tools, concerns to address, and future considerations.
Storage performance optimization is a critical aspect of managing cloud storage for users. It ensures that data is accessed and delivered efficiently, providing a seamless user experience. Amazon Simple Storage Service (Amazon S3) is a widely used cloud storage solution that can greatly benefit from performance optimization strategies. Here are some ways you can tailor your strategy to enhance the quality and performance of Amazon S3 storage.
The perennial Amazon workhorse S3 often stores sensitive customer, financial, intellectual property or other critical data that underpins the business. Proper Amazon S3 security and compliance management is crucial for any organization's cloud strategy. Tighten governance and controls before throwing more technology at issues by adding third-party solutions. Here are 10 ways you can address S3 security and compliance challenges cost-effectively...
One of the top challenges for AWS S3 administrators is monitoring S3 usage growth. As a core cloud building block, S3 usage spans multiple buckets across many accounts, apps, and users. Usage typically grows slowly over time, avoiding notice. Many tools are needed for usage visibility, and spiky or shifting access trends are hard to baseline. Careful monitoring is crucial.
Tagging in Amazon S3 allows you to assign custom metadata tags to objects and buckets. Tags are lightweight metadata with minimal storage overhead that can be used to categorize, filter, and search S3 resources. Tagging is a best practice for S3 management at scale.