Databricks Concepts

Overview

Learn about the power of Databricks Lakehouse and help you scale up your data engineering and machine learning skills.

This course guides you from start to finish on how the Databricks Lakehouse Platform provides a single, scalable, and performant platform for your data processes. As you work through a real-world dataset, you will learn how to accomplish a variety of tasks within the Databricks platform. Throughout this course, you will learn about and practice the different features of the Databricks Lakehouse platform and see how they can be applied to different data use cases.

Syllabus

Welcome to Databricks

Learn about the new lakehouse paradigm for your cloud data strategy and how the Databricks Lakehouse platform can modernize your data architecture. Understand the foundational components of the Databricks platform and how they all fit together.

Data Engineering

Learn how to process, transform, and clean your data using Databricks functionality. Practice using capabilities such as the Delta storage format, Delta Live Tables, and Workflows together to create an end-to-end data pipeline.

Databricks SQL and Data Warehousing

Use the Databricks Lakehouse platform as your data warehousing solution for your Business Intelligence (BI) use cases. Use the built-in SQL-optimized capabilities within Databricks to create queries and dashboards on your data.

Databricks for Large-scale Applications and Machine Learning

Use Databricks to manage your Machine Learning pipelines with managed MLFlow. Follow the model development lifecycle from end-to-end with the Feature Store, Model Registry, and Model Serving Endpoints to create a robust MLOps platform in the lakehouse.