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Combining Machine Learning and MLflow with your Lakehouse. Data Brew | Season 1 Episode 5



Quby aims to “outsmart energy” – making the world easier, more comfortable and more sustainable. They collect a huge amount of IoT sensor data and have recently moved from batch to real-time streaming processes for data collection and machine learning.

Denny and Brooke talk with Ellissa Verseput, ML Engineer at Quby to discuss how Quby leverages ML to extract additional value from their data lake and how they manage this process.

Data Brew is a new video / podcast series where we explore and debate the evolution of Data + AI. No hype, no spin, just a straight shot of strong opinions from some really smart people.

This is our first season where we will be focusing on lakehouses – combining the key features of data warehouses, such as ACID transactions, with the scalability of data lakes, directly against low-cost object stores.

More on the vidcast here:
https://databricks.com/discover/data-brew Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here. https://databricks.com/databricks-named-leader-by-gartner

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