Datalake at AWS

Deployment of a datalake serverless reference solution on AWS and an exploitation example.

This service provides a scalable and flexible infrastructure for the storage, processing and analysis of large volumes of data, optimising the management and exploitation of business data.

01 | Implementing a serverless datalake on AWS

02 | Data storage, processing and analysis configuration

03 | Use of native AWS services for scalability and flexibility

04 | Practical examples of data mining

05 | Documentation and training for the data team

Innovation

Deploying a serverless datalake on AWS enables companies to manage and analyse large volumes of data efficiently and cost-effectively.

The reference solution provides a solid foundation for innovation in data analytics, enabling the integration of new data sources and the exploration of valuable insights.

Excellence

The datalake serverless solution improves data management operations, eliminating the need for complex and costly infrastructure.

Native AWS services ensure high availability and scalability, facilitating data integration and processing.

Value

Implementing a serverless datalake optimises operational costs by leveraging AWS managed services, which allow you to scale on demand without significant upfront infrastructure investments.

This results in greater efficiency in data management and maximised return on investment by turning data into actionable insights.

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