Ingest data into Delta Lake using Mapping Data Flows

Delta Lake is a cutting-edge open source storage layer that ensures the atomicity, consistency, isolation, and durability of data within a lake. Essentially, Delta Lake conforms to ACID standards, making it an ideal solution for data management. In addition to offering scalable metadata handling and support for ACID transactions, Delta Lake integrates seamlessly with existing Data Lakes and Apache Spark APIs. If you're interested in exploring Delta Lake, there are several options available to you. Databricks provides notebooks, along with compatible Apache Spark APIs, to create and manage Delta Lakes. On the other hand, Azure Data Factory's Mapping Data Flows allow for ACID-compliant CRUD operations through simplified ETL pipelines using scaled-out Apache Spark clusters. This recipe will walk you through how to get started with Delta Lake using Azure Data Factory's new Delta Lake connector, demonstrating how to create...