Session

Implement a Serverless Data Analytics strategy with Microsoft Azure

After a decade of innovation around big data, distributed filesystems, data movement tools and scalable data warehouses, I want to share my thoughts on how Microsoft Azure tries to wrap all this stuff with a few tools, like Synapse, DataLake Storage and more. As a result, we will implement a Data Analytics strategy in a serverless mode, on a consumption-based model.

Serverless, Big Data, Data Movement, Parquet, SQL

Roberto Freato

CTO at Retex | Published Author | International Conference Speaker | Azure MVP

Milan, Italy

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