Wednesday, June 10 • 10:50am - 11:35am
Catch Your Data Easily and Quickly with MongoDB Atlas Data Lake

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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 archived data using MongoDB Atlas Data Lake, removing complexity and expanding operational usage to vast amounts of data.

This session will show you real-world scenarios of cross-database use cases, from MongoDB sub millisecond operational queries to huge data lake queries, without the burden of setting up a complex environment or using exotic languages and software to query the data.

In particular, we will explore and demonstrate the tight relationship and the automatic data transfer between an operational database and the data lake.

MongoDB Atlas will reconcile you with data lakes!

avatar for Guillaume Meister

Guillaume Meister

Principal Solutions Architect, MongoDB
Nerds also eventually become bald, but they are still nerds! I was born in IT, bought my first computer at 11, developed software, wrote books, trained people, built databases, network, websites on every new topic that popped in this crazy IT world.What's great with MongoDB: a there's... Read More →

Wednesday June 10, 2020 10:50am - 11:35am EDT
Breakout Theater 4