Delta Lake Streaming ETL Source

Delta Lake allows you to read data from Delta tables stored on S3 or GCS. It provides a structured and transactional approach to reading and processing data. In streaming ETL, real-time data can be ingested and processed, making it valuable for near real-time analytics and event-driven applications.

Schema Type #

See the topic Provide Schema for ETL Source → to know how schema details can be provided for data sources.

After providing schema type details, the next step is to configure the data source.

Data Source Configuration #

Configure the data source parameters that are explained below.

Source #

Select a source for reading the delta file from S3 or GCS.

Connection Name #

Provide connection details for either S3 or GCS based on the chosen source.

Connections are the service identifiers. A connection name can be selected from the list if you have created and saved connection details earlier.

• Create a connection for S3 as explained in the topic - Amazon S3 Connection →

• Create a connection for GCS as explained in the topic - GCS Connection →

Bucket Name #

Specify the name of the storage bucket where your Delta Lake data is stored. The bucket name helps direct the data source to the correct storage location within the chosen cloud platform (S3 or GCS).

Path #

Define the path to the specific location within the storage bucket where your Delta Lake data is stored. This path directs the data source to the precise directory or folder containing the data you want to access.

Add Configuration: To add additional custom Delta Lake properties in a key-value pair.

Detect Schema #

Check the populated schema details. For more details, see Schema Preview →

Notes #

Optionally, enter notes in the Notes → tab and save the configuration.