Enterprises are generating massive volumes of structured, semi-structured, and unstructured data. To transform this data into business insights, organizations require a centralized, cost-effective, and analytics-ready platform.
The Data Lake & Analytics Package leverages:
Together, these services deliver a scalable, flexible, and performance-optimized platform for both business intelligence (BI) and advanced analytics workloads.
Enterprises today are modernizing their IT landscapes by migrating traditional file storage workloads to the cloud. Legacy NAS and file servers present challenges such as high hardware refresh costs, limited scalability, and operational complexity.
AWS provides a suite of fully managed file storage services that support enterprise applications, modernization initiatives, and cloud-native workloads. This paper outlines how organizations can adopt FSxN, FSx for Windows, FSx for OpenZFS, and EFS for enterprise file storage and modernization use cases.
Enterprises today face increasing challenges in managing data protection, compliance, and disaster recovery. Traditional on-premises backup systems are costly, inflexible, and unable to scale efficiently.
AWS offers a robust set of services — Amazon S3, FSx for NetApp ONTAP (FSxN), Storage Gateway, Amazon S3 Glacier, and AWS DataSync — that together enable organizations to modernize backup, archiving, and disaster recovery (DR) strategies with cloud-native agility
Digital businesses rely on scalable, reliable storage and efficient global distribution to deliver high-quality content to end-users.
Traditional content delivery models struggle with:
AWS provides Amazon S3 for durable media storage, integrated with Amazon CloudFront CDN for global distribution, and Amazon S3 Glacier for low-cost archiving. This combined package forms a robust Content Distribution & Media Storage solution for enterprises, broadcasters, OTT platforms, and digital publishers.
Artificial Intelligence (AI), Machine Learning (ML), and High-Performance Computing (HPC) workloads require extreme storage performance, scalability, and flexibility. Traditional on-premises HPC clusters are costly, complex to maintain, and inflexible when workloads burst beyond planned capacity.
AWS offers a set of integrated storage services that address these challenges:
This package provides a unified solution for running large-scale AI/ML pipelines and HPC simulations with the flexibility of cloud economics.