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.

Importing data into the AWS data lake v1.0.0

Use this resource to load external data into your AWS data lake

New

  • 560 downloads
  • 186 likes
  • 101 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install data-lake-ingestion-pipelines

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 classifies the source, checks the connection, picks the target (S3 Tables by default, Iceberg otherwise), runs the load, validates the result and schedules recurring pipelines. You get a populated, checked table.

Mostly picked by

Updated November 2, 2026

Card for the “Importing data into the AWS data lake” 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: source classification, loading and validation steps
  • references/: notes on Athena, BigQuery, DynamoDB, CTAS, Glue ETL and Iceberg

Good fit for

  • You want to copy a PostgreSQL database into S3 Tables every day
  • You load a DynamoDB export to analyze it with Athena

Not for

    Tags

    • ingestion
    • data lake
    • etl
    • iceberg
    • pipeline

    About

    You say

    “Load my orders table from PostgreSQL into S3 Tables every night and check the row count.”

    Card for the “Importing data into the AWS data lake” skill

    Skill published by aws 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 load external data into your AWS data lake
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE10.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/athena-loading.md2.9 KB
    • references/bigquery-ingest.md3.8 KB
    • references/catalog-migration.md7 KB
    • references/ctas-patterns.md3 KB
    • references/data-quality-validation.md12.6 KB
    • references/dynamodb-ingest.md7.4 KB
    • references/error-handling.md12.7 KB
    • references/format-specific-loading.md13.3 KB
    • references/glue-etl-migration.md4.7 KB
    • references/glue-job-config.md9.7 KB
    • references/glue-job-scripts.md9.9 KB
    • references/iceberg-catalog-config-and-usage.md8 KB
    • references/incremental-loading.md13.6 KB
    • references/jdbc-ingest.md5.8 KB
    • references/jdbc-performance.md10.7 KB
    • references/jdbc-schema-discovery.md13.2 KB
    • references/local-upload.md4.6 KB
    • references/migration-troubleshooting.md2.6 KB
    • references/migration-validation.md2.8 KB
    • references/s3-files.md5.9 KB
    • references/schema-evolution.md9.7 KB
    • references/snowflake-ingest.md3.7 KB
    • references/testing-and-scheduling.md14.1 KB
    • references/type-transformations.md8.1 KB
    • references/upload-options.md1.1 KB
    • SKILL.md11 KB

    Origin and licence

    Listed unmodified

    Author
    aws
    Source
    github.com/aws/agent-toolkit-for-aws/tree/b08b99f38098c30c0ee1a781accd8e349e5b145c/plugins/aws-data-analytics/skills/ingesting-into-data-lake
    Licence
    Apache-2.0

    Notice

    « ingesting-into-data-lake » (aws, 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.