Advanced Data Quality Constraints using Databricks Delta Live Tables

<h1>A Recap of Delta Live Tables and Medallion Architecture</h1> <p><strong>Use Delta Live Tables to create your pipeline :&nbsp;</strong>Delta Live Tables (DLT) are an easy-to-use framework that utilises Spark SQL or pyspark to create data processing pipelines. The transformations in these pipelines are defined by you but Databricks will handle everything else &mdash; from task orchestration and cluster management to error handling.</p> <p><strong>The Data in the Pipeline:</strong>&nbsp;Medallion architecture is the recommended Databricks way to structure and process data and goes hand-in-hand with DLT &mdash; it enables the processing of data through multiple stages, providing clean, curated, and valuable insights for decision-making.</p> <p><a href="https://medium.com/@ssharma31/advanced-data-quality-constraints-using-databricks-delta-live-tables-2880ba8a9cd7"><strong>Visit Now</strong></a></p>