Querying Data Lake and Lake Warehouse with Armando Lacerda

This is a hybrid event - we meet in-person at the Microsoft Reactor in Redmond or you can join online via Teams.
We will start the presentation some time after 6pm as we will allow time for networking and people to arrive.

Virtual event link: [bit.ly/3IBjOXh](https://teams.microsoft.com/l/meetup-join/19:meeting_MjkzZGEzZjktNzc3OC00NzUxLTkzZDMtZTI2YTY2MjdjZDg0@thread.v2/0?context={%22Tid%22:%22b4c9f32e-da17-4ded-9c95-ce9da38f25d9%22,%22Oid%22:%22ab52a721-a413-4f07-afa7-4136470b64e5%22})

Title: Querying Data Lake and Lake Warehouse
Speaker: Armando Lacerda

Summary

Data Lake technologies are becoming the standard for very large data storage. For Power BI to work with very large data volumes, it needs help from other data engines. In this session you will learn how the Serverless SQL pool, which is part of Synapse Analytics, can be used with Power BI to implement data exploration on top of a data lake, making a simple implementation of the Lake House concept.