Backup features also support compliance measures. Robust replication features make it easier for organizations to meet Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO) in the event of a disaster. This is achieved by running applications involving big data analytics, high performance computing (HPC), artificial intelligence (AI), and machine learning (ML). An S3 data lake enables users to unlock insights to maximize the full value of their data. Even Amazon itself relies on S3 to store critical project data. Makers of apps can also store the data they collect. Amazon S3 use casesĬompanies like Airbnb, Netflix, Pinterest, and Reddit use S3 to host their web content, images, archives, backups of on-premises data for disaster recovery, and systems of record. AWS S3 also offers powerful functionality with minimal complexity. Using reliable, scalable infrastructure and a key-based object storage architecture, Amazon S3 is well suited to host massive amounts of structured and unstructured data in the form of data lakes. The service itself is plugged into the wider Amazon Web Services (AWS) data ecosystem. Amazon S3 overviewĪmazon Simple Storage Service (S3) is a popular cloud storage service with critical features like encryption, access control, and high availability.įirst deployed in the US in 2006 and Europe in 2007, Amazon S3 from AWS services is available in all AWS regions where Amazon Web Services provides cloud solutions, and can be accessed worldwide through a web interface. One of the simplest yet most powerful options is Amazon Simple Storage Service (S3). However, when it comes to choosing where to store data in the cloud, there are many choices. Today’s enterprises, from small local businesses to international online retailers who generate a large amount of data, are looking to move to the cloud for increased data availability, better data security, and a smaller financial footprint. What is AWS S3? Your guide to powerful features with minimal complexity
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