EXECUTE

In the Ultra Transcenders books

DP-750DP-700DP-800

Each book explains EXECUTE in context, with comparison tables and the common traps.

Terms in this definition

• Registered model

  A versioned model asset in Azure Machine Learning, typed as custom_model, mlflow_model or triton_model, with tags and lineage to the producing job. Registering under the same name again increments the version automatically.

• Unity Catalog

  Azure Databricks' governance solution covering both data and AI in one place, with centralised permissions, auditing, data discovery and lineage.

• Usage privileges

  USE CATALOG and USE SCHEMA: alone they expose no data, yet reaching any object inside requires them, so owners of catalogs and schemas can cap what table owners share.

Related terms

• Agentic retrieval

  Query approach in Azure AI Search where an LLM turns a conversation into several planned subqueries; these execute together, are reranked semantically, and the best chunks are merged. Classic RAG, by contrast, issues just one query.

• Applied steps

  Power Query keeps a running log of every change you make, shown under Query settings as a list of named steps that execute top to bottom. Clicking one shows how the data looked at that stage, and steps can be renamed, moved or removed.

• Azure-SSIS IR

  When Data Factory needs to execute SSIS packages, it uses this integration runtime, hosting the SSISDB catalogue in either SQL Managed Instance or SQL Database.

• CONSTITUTION.md

  A database-level extended property in SSMS with Copilot instructions that outrank every other set. If agentExecuteAsUser appears in its front matter, Copilot's queries execute as that user by means of EXECUTE AS.

• DAG

  Directed acyclic graph: nodes (tasks or datasets) joined by dependency edges with no loops. Lakeflow Jobs and Lakeflow pipelines execute the nodes in order of their dependencies, running as many in parallel as they can.

• IDE

  Visual Studio Code, PyCharm and similar desktop editors are IDEs. Databricks Connect, or the Databricks extension for Visual Studio Code, lets code written in them execute and be debugged on Azure Databricks.

• IMPERSONATE

  The permission that lets a principal take on the execution context of another login or database user, as happens when a module is declared with EXECUTE AS.

• Init scripts

  Learn suggests steering clear of these where possible: shell scripts that execute on every classic compute node during boot, before Spark comes up. If you do need one, keep it cluster-scoped and store it in a volume; DBFS-hosted scripts are end-of-life.