Course Overview
This course provides an introduction to Databricks, a cloud-based data engineering platform that combines the best of data lakes and data warehouses. The course covers the benefits of adopting the lakehouse paradigm, differentiating the capabilities of Databricks, and selecting the right compute nodes to accelerate data processing. It also explores how to leverage optimized libraries to accelerate AI processing and define Intel goodness that supports Databricks. The course includes a demonstration of the Databricks platform and discusses how Intel technologies, such as the latest generation Intel Xeon Scalable processors, accelerate Databricks' capabilities. By the end of the course, learners will be able to identify the benefits of the lakehouse architecture, explain the different capabilities in Databricks, and leverage optimized libraries to accelerate AI processing.
Share With
Chapter List
Quiz Status
Please watch the video before taking the quiz.
Once you have watched the video, please take the quiz.
Chapter Overview
This course provides an introduction to Databricks, a cloud-based data engineering platform that combines the best of data lakes and data warehouses. The course covers the benefits of adopting the lakehouse paradigm, differentiating the capabilities of Databricks, and selecting the right compute nodes to accelerate data processing. It also explores how to leverage optimized libraries to accelerate AI processing and define Intel goodness that supports Databricks. The course includes a demonstration of the Databricks platform and discusses how Intel technologies, such as the latest generation Intel Xeon Scalable processors, accelerate Databricks' capabilities. By the end of the course, learners will be able to identify the benefits of the lakehouse architecture, explain the different capabilities in Databricks, and leverage optimized libraries to accelerate AI processing.