With Apache Spark Declarative Pipelines, engineers describe what their pipeline should do using SQL or Python, and Apache Spark handles the execution.

The no-code ETL tool works by combining a generative AI assistant for pipeline creation and Unity Catalog for governance.

Wants to let AI do the boring bits so his team can invent more cool stuff Cisco Live Cisco president Jeetu Patel wants the ...

For example, in a recent project ... #DataContracts #DataQuality Implementing version control for your ETL code is crucial for managing changes effectively. It allows you to track modifications ...

Learn six tips on how to demonstrate your ETL automation expertise and value to potential employers or clients with examples and resources.

To demonstrate, we have provided a CSV parser and sample data files for a source system ... packs can be selected by adjusting the source code in four locations (two for both the Infrastructure and ...

For example, an organization’s ability to adopt ETL for unstructured ... Organizations often invest substantial money in developing ETL code tailored to legacy environments, which subsequently binds ...

For example, patient portals, electronic medical records (EMRs ... reliable, and consistent, so the ETL code should be evaluated to ensure the data extracted generally match what researchers want. In ...

From the use cases and examples presented above, it’s evident that data integration and ETL are closely related ... for things like product names and codes and customer IDs, which gives context ...