Databases Vs Data Warehouses Vs Data Lakes

Recently I was helping a client with a project because their MongoDB instance wasn’t able to handle the queries they needed.

I explained that one of the major issues is that MongoDB wasn’t built for complex analytical queries. Both in terms of its structure and its query language.

So I suggested they look into OLAP. But they weren’t sure what that was, so I decided to make a video about databases vs data warehouses vs data lakes.

If you enjoyed this video, check out some of my other top videos.

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About me:
I have spent my career focused on all forms of data. I have focused on developing algorithms to detect fraud, reduce patient readmission and redesign insurance provider policy to help reduce the overall cost of healthcare. I have also helped develop analytics for marketing and IT operations in order to optimize limited resources such as employees and budget. I privately consult on data science and engineering problems both solo as well as with a company called Acheron Analytics. I have experience both working hands-on with technical problems as well as helping leadership teams develop strategies to maximize their data.

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