How to optimise data lakes in financial services

This white paper is written especially for leaders in financial services organisations, and other complex enterprises, who need to make smart decisions about how they store and access data.

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Data lakes can lead to huge cost savings and revenue generation.

But they also raise some tricky questions:

  • Is it better to transform into a format optimised for retrieval or keep in raw form?
  • How do you control access to prevent breaking Chinese walls?
  • How do you choose between streaming the data in and batch loads?
  • How do you ensure your data is labelled so it is understood during retrieval?

This white paper addresses such challenges and suggests a number of pragmatic solutions to optimise the performance of your data lake.

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