Creează un cont pentru a te abona la acest blog și a-i urmări articolele pe pagina Lectură.
-
TL/DR: dltHub renamed scripts to jobs and runs to job-runs in its platform API and the old trigger endpoint responds with a 404 now.
-
TL/DR: I sent 20 hand-picked first names went into three variants of a "System One" decision model.
-
TL/DR: Let's build META.CORTEX.JOB_INSPECTOR, a Snowflake Cortex Agent that pulls failed dltHub job run records, logs and pipeline traces, investigates what broke, and notifies me!
-
TL/DR: dltHub's commercial AI harness and Snowflake's Cortex Code (CoCo) sit on opposite sides of my pipelines.
-
TL/DR: I replaced a SQL table function full of regexes by one API call that returns a category plus the probability that an error notification is actually something interesting to look at.
-
TL/DR: Sonnet 5 is now the account-wide default model in CoCo.
-
TL/DR: ❄️ Snowflake is moving away from CORTEX_MODELS_ALLOWLIST toward model RBAC.
-
TL/DR: dltHub's @job decorator can (add of a couple of weeks ago) notify on any Python exception.
-
TL/DR: I built an agent to generate COMMENT ON TABLE / COMMENT ON COLUMN for tables ingested into Snowflake by my dlt pipeline.
-
TL/DR: data movement policies hit general availability in Snowflake on Aug 19.
-
TL/DR: dltHub ships built-in notifications for Slack and email.
-
TL/DR: nothing in dlt or dltHub stops pipeline files from importing a shared helper module...
-
TL/DR: LinkedIn Marketing APIs require 3-legged OAuth, which means a human in a browser.
-
TL/DR: I replaced one daily Fivetran MySQL sync with dltHub in about an hour.
-
TL/DR: I turned 2,110 Swiss municipalities into an outreach queue with 2,090 usable public contact channels.
-
TL/DR: Microsoft Planner has no native backup export (other than manual exports in the UI), so I built a scheduled Microsoft Graph extraction that writes immutable JSONL snapshots to Azure Blob Storage.
-
TL/DR: I documented a GTM estate with 11 client-side web containers and one server-side container... the workflow developed on one 282-object web container gave an agent enough structure to write useful notes without letting it touch tracking logic.
-
TL/DR: OpenCode writes every session, message, and token count to a local SQLite file.
-
TL/DR: Download in parallel, split huge datasets into chunks, then load one chunk at a time with a fresh dlt.pipeline().
-
TL/DR: Two agent skills migrate Tableau dashboards.