Nov 11, 2021 · 2 Building on @camo's answer, since you're looking to use the secret value outside Databricks, you can use the Databricks Python SDK to fetch the bytes representation of the secret …

Oct 2, 2023 · You're correct about listed limitations. But when you're using Unity Catalog, especially with shared clusters, you need to think a bit differently than before. UC + shared clusters provide very …

Sep 29, 2024 · Databricks demands the use of the IDENTIFIER () clause when using widgets to reference objects including tables, fields, etc., which is exactly what you're doing.

Mar 25, 2024 · In Python, Delta Live Tables determines whether to update a dataset as a materialized view or streaming table based on the defining query. The @table decorator is used to define both …

Mar 16, 2023 · It's not possible, Databricks just scans entire output for occurences of secret values and replaces them with " [REDACTED]". It is helpless if you transform the value. For example, like you …

Jun 21, 2024 · While Databricks manages the metadata for external tables, the actual data remains in the specified external location, providing flexibility and control over the data storage lifecycle. This …

Nov 9, 2023 · In Azure Databricks, if you want to create a cluster, you need to have the " " permission. This permission basically lets you handle everything related to clusters, like making new ones and …

Nov 28, 2024 · 2 Databricks allows to make SQL queries via an API using the databricks-sql-python package. There are then two ways of creating a connection object that can be put into a …

Jun 24, 2023 · Can someone let me know what the equivalent of the following CREATE VIEW in Databricks SQL is in PySpark? CREATE OR REPLACE VIEW myview as select …

Jul 24, 2022 · Is databricks designed for such use cases or is a better approach to copy this table (gold layer) in an operational database such as azure sql db after the transformations are done in pyspark …