Skills for “notebook”
35 skills match · 294 ms · understood as by meaning
Read or write Azure SQL Database from an AIDP notebook through the AIDP `aidataplatform` Spark format handler. Use when the user mentions Azure SQL, Azure SQL Database, AZURE_SQLSERVER, or a database.windows.net…
…columns that never match). Use after a migrated notebook has actually run and populated its AIDP target — this is the customer-facing proof the migration is correct, not merely that it…
…script for a Standard AIDP catalog as an executable notebook, locally and offline. --upload is a dry run and is refused with --execute; the structure itself is created by the snowmig_01_structure workflow at…
…after infa-migrate-mapping, before trusting any generated notebook, to surface every low-confidence conversion and REVIEW REQUIRED marker for a human decision (approve/edit/reject) rather than letting them ship…
Manage files and notebooks in the AIDP workspace filesystem — list, upload, download, read, create, move, rename, delete files/folders/notebooks. Use when the user wants to put a script/notebook/config into the…
Upload generated notebooks and create AIDP jobs via `infa2aidp cli deploy` (OCI-signed REST calls — upload files, create job objects). Use once notebooks from infa-migrate-mapping have been reviewed and are ready to…
…Workbench, run aidp-cli commands, manage AIDP agents/notebooks/workflows/clusters/catalogs/schemas/volumes/MLOps/bundles/audit/roles/credentials, execute a notebook workflow, export task outputs, or collect AIDP…
Use AIDP control-plane REST primitives for OCI signing, discovery, notebook upload, job dispatch, polling, output retrieval, and marker parsing. Use when another workflow must operate a live AIDP cluster through REST.
Use when a Spark job/notebook is slow, missing an SLA, spilling, OOMing, generating too many small files, or shuffling/skewing heavily; when reviewing Spark/PySpark code or a Spark UI for performance; or before running…
Create, edit, and execute AIDP notebooks and manage their kernel sessions. Use when the user wants to author a notebook, run cells/code on a cluster, attach/detach a kernel session, or build an interactive notebook…
…the %run dep tree and rewrites Databricks APIs in each dep notebook code-only. Pass-2 executes each task cell-by-cell on a live AIDP cluster, runs 4-way verify (exec error / stderr patterns / Spark logs / model eval),…
Targeted rewind of a migrated notebook. Re-executes cells from history index N onwards (or a specific cell range) through the execute+verify+fix loop, with a 'why' reason injected so the model knows what to fix. Use…
Pre-migration data-availability scan. Reads every notebook in a migration manifest, extracts every spark.read.table / spark.read.parquet / saveAsTable reference, and probes whether each target schema/table/path exists…
…Use BEFORE aidp-migrate-job — schemas must exist before notebook…
…mapping the migrator uses to rewrite paths during notebook + catalog migration. Use when (a) the user has external tables / files at s3:// paths that need to land on OCI Object Storage, OR (b)…