Building Data Pipelines with Delta Live Tables

Data pipelines are essential for transforming raw data into useful insights. However, building and managing data pipelines can be challenging, especially when dealing with complex, large-scale, and streaming data sources. Data engineers often have to write and maintain multiple Spark jobs, handle cluster provisioning and scaling, monitor data quality and performance, and troubleshoot errors and failures.

With Delta Live Tables, you can easily build data processing pipelines on the Databricks Lakehouse platform that are reliable, maintainable, and testable. You only need to specify the data transformations you want to apply and Delta Live Tables will take care of the rest, such as task orchestration, cluster management, monitoring, data quality, and error handling. Delta Live Tables leverages the power of Delta Lake to provide ACID transactions, schema enforcement, time travel, and unified batch and streaming processing.

In this chapter...