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Frequently Asked Questions

What is Delta Lake on Databricks?

With Delta Lake on Databricks, you have access to a vast open source ecosystem and avoid data lock-in from proprietary formats. Simplify data engineering with Delta Live Tables – an easy way to build and manage data pipelines for fresh, high-quality data on Delta Lake.

How to copy data from Delta Lake to Azure Databricks?

Similarly, to copy data from delta lake, Copy activity invokes Azure Databricks cluster to write data to an Azure Storage, which is either your original sink or a staging area from where the service continues to write data to final sink via built-in staged copy. Learn more from Delta lake as the source.

What format is data stored in Delta Lake?

All data in Delta Lake is stored in open Apache Parquet format, allowing data to be read by any compatible reader. APIs are open and compatible with Apache Spark. With Delta Lake on Databricks, you have access to a vast open source ecosystem and avoid data lock-in from proprietary formats.

How does it work with Databricks cluster?

It leverages your Databricks cluster to perform the data movement, see details in Prerequisites section. Mapping Data Flow supports generic Delta format on Azure Storage as source and sink to read and write Delta files for code-free ETL, and runs on managed Azure Integration Runtime.

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