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My present employer is interested in hearing about other people's experience in setting up and getting practical value out of a data lake architecture.

Reason being is that we're presently running a POC with Azure Data Lake and finding it different to expectations...and steep learning curve.

We wonder what other tools have had successful poc's and ended up as enterprise solutions.

Also what tips traps and trajectories have others had/can recommend in going the data lake route.

All the best, 

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We are using the Google Cloud Platform for data lakes.  We find the data analysis tools (datalab) especially beneficial.  From there, the models we create are activated in marketing platforms (this is our primary use of the lake) and in reporting.   We have used the machine learning engine tools as well and see great opportunities with those models, several are out of the box such as NLP.



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