Making the data lake of a securities company reliable and scalable

Making the data lake of a securities company reliable and scalable

Our client is a South African company that handles the settlement of various securities such as equities and bonds, as well as a range of derivatives including warrants, retail notes, and tracker funds. It was important to have a single, trusted source of data for our client’s data-driven sciences initiative.

Unfortunately, our client was unable to make the most of its data lake. With our reengineering data strategy, we reduced storage costs by 80%, while giving our client a usable and scalable data architecture.

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Tags:
Data Engineering & Analytics

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