Introduction to Delta Live Tables

Summary

Learn how Delta Live Tables simplifies code development and infrastructure deployment.

Description

Delta Live Tables enables data teams to innovate rapidly with simple development, using declarative tools to build and manage batch or streaming data pipelines. Built-in quality controls and data quality monitoring ensure accurate and useful BI, Data Science, and ML built on top of quality data. Delta Live Tables is designed to scale with rapidly growing companies and provides clear observability into pipeline operations and automatic error handling. This course will cover the basics of this new product, including syntax, configuration, and deployment.

Learning objectives

  • Describe the motivations for Delta Live Tables.

  • Use PySpark or SQL syntax to declare Delta Live Tables.

  • Schedule and deploy pipelines with the Databricks UI.

  • Review pipeline logs and metrics.

Prerequisites

  • Beginner experience working with PySpark or Spark SQL

  • Basic familiarity with the Databricks workspace

Learning path

  • This course is part of the data engineering learning path.

Proof of completion

  • Upon 80% completion of this course, you will receive a proof of completion.