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Export from Datadog to Databricks

CloudQuery is an open-source data integration platform that allows you to export data from any source to any destination.

The CloudQuery Datadog plugin allows you to sync data from Datadog to any destination, including Databricks. It takes only minutes to get started.

Datadog
datadog
Official
Premium

Datadog

The CloudQuery Datadog plugin extracts your Datadog information and loads it into any supported CloudQuery destination

Publisher

cloudquery

Latest version

v5.3.0

Type

Source

Platforms
Date Published

databricks
Official

Databricks

This plugin is in preview.

Sync your data from any supported CloudQuery source into the Databricks Data Intelligence Platform.

Publisher

cloudquery

Repositorygithub.com
Latest version

v1.0.3

Type

Destination

Platforms
Date Published

MacOS Setup

Step 1. Install CloudQuery

brew install cloudquery/tap/cloudquery

Step 2. Log in to CloudQuery CLI

cloudquery login

Step 3. Configure Datadog source plugin

You can find more information about the configuration in the plugin documentation

kind: source
spec:
  # Source spec section
  name: "datadog"
  path: "cloudquery/datadog"
  registry: "cloudquery"
  version: "v5.3.0"
  tables: ["*"]
  destinations: ["databricks"]

  spec:
    # required
    accounts:
      - # required
        name: example_account
        # required
        api_key: ${DATADOG_EXAMPLE_ACCOUNT_API_KEY}
        # required
        app_key: ${DATADOG_EXAMPLE_ACCOUNT_APP_KEY}
    # Optional parameters
    # site: datadoghq.eu

Step 4. Configure Databricks destination plugin

You can find more information about the configuration in the plugin documentation

kind: destination
spec:
  name: "databricks"
  path: "cloudquery/databricks"
  registry: "cloudquery"
  version: "v1.0.3"
  write_mode: "append"
  spec:
    hostname: ${DATABRICKS_HOSTNAME} # optionally it can include protocol like https://abc.cloud.databricks.com
    http_path: ${DATABRICKS_HTTP_PATH} # HTTP path for SQL compute
    staging_path: ${DATABRICKS_STAGING_PATH} # Databricks FileStore or Unity volume path to store temporary files for staging
    auth:
      access_token: ${DATABRICKS_ACCESS_TOKEN}
    # Optional parameters
    # protocol: https
    # port: 443
    # catalog: ""
    # schema: "default"
    # migration_concurrency: 10
    # timeout: 1m
    # batch:
    #   size: 10000
    #   bytes: 5242880 # 5 MiB
    #   timeout: 20s

Step 5. Run Sync

cloudquery sync datadog.yml databricks.yml
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