Data lakes have emerged as a viable way to pool data and get a more detailed view of everything that is happening across the company. This has opened up many new opportunities for financial services firms.
However, the way you design the architecture and implementation of a data lake can have a significant impact on the results. With many organisations running into issues during this process, it is key to identify the root causes.
This white paper explores key data lake questions and proposes a number of ways to tackle the implementation challenges. It goes on to further examine different ways you can optimise the data lake to ensure it fulfils its desired function.