Architecture Best Practices for Analytics & Big Data
Browse AWS best practices for cloud data analysis, data warehouses, data management, and data lake architecture.
Learn to evaluate your analytics application workloads and big data architecture against best practices and identify areas for improvement with the Analytics Lens - AWS Well-Architected Framework.
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Data Lakes
Vetted guidance for architecting data storage solutions using a data lake. Combine data sources, remove silos, and improve scale and agility.
Data Analytics
Best practices for data analytics solutions that combine AWS services to deploy serverless data architectures and power business intelligence.
- Blog: How Wind Mobility Built a Serverless Data Architecture
- Reference Architecture Diagram: Modern Data Analytics Reference Architecture on AWS
- Whitepaper: Using Microsoft Power BI with the AWS Cloud
Data Management
How to build a data management architecture to support data ingestion, storage, and organization, and maintain data securely throughout its lifecycle.
Most Popular
- Solutions Implementation: Data Lake on AWS
- Solutions Implementation: Streaming Data Solution for Amazon Kinesis
- Whitepaper: Big Data Analytics Options on AWS
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