Amazon S3 Tips, Tricks, and Resources
Creating Data Lakes in Amazon S3
A data lake in Amazon S3 offers scalability and durability at a reasonable cost. Creating data lakes enables centralized storage of diverse data types, supports easy integration with AWS analytics services, and provides precise access control. We outline a typical process for setting up a data lake on Amazon S3.
Machine Learning Data Repository on Amazon S3
A Machine Learning Data Repository on Amazon S3 is critical for managing large-scale ML projects. Amazon S3 offers scalability, durability, and cost-efficiency for storing vast amounts of training data and model artifacts. While challenges like latency exist, S3's benefits in data management, versioning, and lifecycle policies make it an ideal choice for organizations seeking a reliable, flexible ML data storage solution.
Object Storage in AWS, Microsoft Azure, and Google Cloud
We all need a place for our stuff. In the cloud, it's digital stuff (AKA unstructured data). The three largest cloud providers offer object storage solutions that are designed to store and retrieve large amounts of your organization's stuff with high durability and scalability.
Using AWS Storage Gateway with Hybrid Cloud
Leveraging AWS Storage Gateway for hybrid cloud architectures entails integrating on-premises environments with AWS cloud storage services. The goal for organizations is to seamlessly extend their data storage infrastructure to the cloud. This approach provides compelling advantages but also comes with potential drawbacks.
Comparing AWS Cloud Storage Services
AWS offers a diverse range of cloud storage services, each designed to cater to specific storage needs and workload requirements. Understanding the differences and appropriate use cases for these services is crucial for making informed decisions and optimizing storage solutions. We compare the variety of AWS cloud storage services.
