Optimising Data Management Costs for AWS Athena and S3 Users
As organisations increasingly embrace cloud-based data storage and analytics solutions, services like Amazon Web Services (AWS) Athena and S3 have gained significant popularity due to their scalability, ease of use, and cost-effectiveness. AWS Athena allows users to query data stored in Amazon S3 using standard SQL expressions, while Amazon S3 provides scalable and durable object storage. However, to maximise the benefits of these services, it’s crucial to implement strategies that help clients optimise their data management costs.
By implementing strategies such as data partitioning, compression, lifecycle management, query optimisation, and cost-aware architecture design, clients can achieve significant cost savings of up to 90% on their data management expenses. As the cloud computing landscape continues to evolve, staying informed about the latest best practices and tools for cost optimisation is essential for data engineers and organisations alike.
Contact us to learn how we at tuITio helped our client realise 90% of savings through optimised S3 storage and how we can help you.
