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Dremio SQL Lakehouse: Fast data for all
Today every company is a software company and tomorrow every employee will become a data analyst!
In this talk, you'll learn what Data Lake is, and what advantages and disadvantages it has. Why it's important to build an open architecture for data analytics and avoid proprietary lock-in. Why do we need column-oriented file formats on disks and in memory? How Data Lake evolves to improve missing components such as transactions and versioning.
In the live demo of Dremio you would see how to quickly build SQL Lakehouse and allow your users to independently analyze all the available data.