Outcome. A data lake on AWS built on our delivery framework, processing data from many sources in near real time, so trading decisions are no longer waiting on the platform. The design meets the industry’s data compliance requirements, and the client’s own data engineering team stayed on its operational priorities while we delivered, on time and on budget.
We brought in the necessary expertise and delivered a solution based on our Data Lake on AWS framework. We helped the company to improve the speed of decisioning, improve data organisation and meet compliance requirements to deliver the Data Lake on time and budget.
Want to learn more? The platform decisions behind this work are the subject of data platform consulting, and the build itself follows our AWS data lake services. For how the data was organised, see AWS data lake layers explained.
If you’d like to know more about how we can help you architect and implement a solution that helps you unleash the value in your data, please get in touch.
Ready to put AI to work on your data? Get in touch with the DataPhoenix team.
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