Every premium and members-only resource for $9.99/month, as a no-commitment subscription. See the plans

PalateKit

Sign in
Menu

Request a resource

Describe the resource you are missing in one sentence. We will email you when it is published.

0 / 280

A page, a video or an image online.

Unlock PalateKit

Unlock everything

Plan

Paying means accepting our terms of sale.

Secure payment by Stripe. Receipts and invoices sent by email.

Welcome back

Sign in to install, download or save this resource. A free account is enough for free resources.

Databricks: Spark, Delta Lake and MLflow v1.0.0

Use this resource to build Spark and Delta Lake workloads on Databricks

New

  • 359 downloads
  • 130 likes
  • 232 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install databricks-spark-delta

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent sets up a Databricks cluster, writes PySpark jobs on Delta Lake tables, tunes performance and cost, and tracks experiments with MLflow. It avoids actions that pull large volumes back to the driver. You get PySpark code and a reasoned cluster configuration.

Mostly picked by

Updated November 2, 2026

Card for the “Databricks: Spark, Delta Lake and MLflow” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
Apache-2.0

Similar resources

View all

What you get

  • SKILL.md: cluster, Delta Lake, performance and cost best practices
  • references/CORE_CONCEPTS.md: Spark, Delta Lake, MLflow concepts and anti-patterns

Good fit for

  • Your Spark job runs out of memory because it collects a large DataFrame
  • You are moving a data warehouse to a Delta Lake lakehouse

Not for

    Tags

    • databricks
    • spark
    • delta-lake
    • mlflow

    About

    You say

    “Write the PySpark job that aggregates events from the raw table into a daily Delta table.”

    Card for the “Databricks: Spark, Delta Lake and MLflow” skill

    Skill published by PCL Team under the Apache-2.0 license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to build Spark and Delta Lake workloads on Databricks
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE10.9 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/CORE_CONCEPTS.md16.6 KB
    • SKILL.md4.3 KB

    Origin and licence

    Listed unmodified

    Author
    PCL Team
    Source
    github.com/personamanagmentlayer/pcl/tree/79ccaa9820486121fa33aaa696ec16fa1607bf02/stdlib/data/databricks-expert
    Licence
    Apache-2.0

    Notice

    « databricks-expert » (PCL Team, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

    User reviews

    –

    No ratings yet

    Loading reviews…

    Delete your review?

    Your rating and comment will be removed from the page.