A data lake is a central repository where a company stores tons of data hoping to be able to get some value out of it later.

According to Gartner’s 2019 study, most data lake projects failed mainly due to complexity and unkept promises of performance and usage.

On the other hand, deploying and running large scale critical databases has never been easier thanks to MongoDB’s Atlas.

You can now unleash the power of MongoDB Query Language and Aggregation framework on your analytical data or …