CICD and Databricks との統合と自動化

CICD and Databricksを他のツールとシームレスに接続。 ワークフローを自動化し、業務効率を向上させます。

評価

4.9

事前構築済み

150+

統合

合計

100+

アクティブユーザー

平均

2分

接続まで

カスタム接続

利用可能

HTTPコネクター経由で利用可能

主要企業が Workato を活用

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強力なワークフローを迅速に構築

Triggers

When this happens…

Databricks
  • New rows Batch
    New batch of rows in a table in Databricks
  • New rows via custom SQL Batch
    New batch of rows via custom SQL in Databricks
  • New/updated rows via custom SQL Batch
    New/updated batch of rows via custom SQL in Databricks

    • Any other trigger you can think up

Actions

Do this…

CICD
  • Build and download package
    Build and download package from Workato DEV
  • Build package (Asynchronous)
    Build package from Workato Environment
  • Create folder
    Create folder in Workato
  • Deploy package
    Deploy package to Workato
  • Deploy package (Asynchronous)
    Deploy package to Workato asynchronously
  • Download package
    Download package from Workato DEV
  • Get build package
    Get a build package from Workato Environment
  • Get a deployment package
    Get a deployment package from Workato environment
  • Get Environment by Name
    Get Environment by Name in Workato developer AP is
  • Get Environments
    Get Environments in Workato developer AP is
  • List folders
    List folders in Workato
  • List all recipes
    List recipes in a Workato environment
  • Manage Recipes
    Manage recipes in Workato environment
  • Upsert Account Properties
    Upsert properties to Workato environment

    • Any other action you can think up

Databricks
  • Delete rows Batch
    Delete rows in a table in Databricks
  • Export query result
    Export query result as a CSV file in Databricks
  • Insert row
    Insert row in a table in Databricks
  • Run custom SQL Batch
    Run custom SQL in Databricks
  • Select rows Batch
    Select rows in a table in Databricks
  • Select rows using custom SQL Batch
    Select rows using custom SQL in Databricks
  • Update rows
    Update rows in a table in Databricks
  • Upload file to Volume
    Upload file to volume in Databricks

    • Any other action you can think up

単一のプラットフォーム

  • 強力
  • 俊敏性
  • スピード
  • 革新