Google Cloud BigQuery and Straker Verify Integration

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Automate content compliance: connect Google Cloud BigQuery to Straker Verify for streamlined data analysis and translation validation using Latenode's visual editor, enhancing accuracy affordably by paying only for execution time.

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Google Cloud BigQuery

Straker Verify

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Cloud BigQuery and Straker Verify

Create a New Scenario to Connect Google Cloud BigQuery and Straker Verify

In the workspace, click the “Create New Scenario” button.

Add the First Step

Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Google Cloud BigQuery, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Cloud BigQuery or Straker Verify will be your first step. To do this, click "Choose an app," find Google Cloud BigQuery or Straker Verify, and select the appropriate trigger to start the scenario.

Add the Google Cloud BigQuery Node

Select the Google Cloud BigQuery node from the app selection panel on the right.

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Google Cloud BigQuery

Configure the Google Cloud BigQuery

Click on the Google Cloud BigQuery node to configure it. You can modify the Google Cloud BigQuery URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Sign In

Run node once

Add the Straker Verify Node

Next, click the plus (+) icon on the Google Cloud BigQuery node, select Straker Verify from the list of available apps, and choose the action you need from the list of nodes within Straker Verify.

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Authenticate Straker Verify

Now, click the Straker Verify node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Straker Verify settings. Authentication allows you to use Straker Verify through Latenode.

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Configure the Google Cloud BigQuery and Straker Verify Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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The action ID

Run node once

Set Up the Google Cloud BigQuery and Straker Verify Integration

Use various Latenode nodes to transform data and enhance your integration:

  • Branching: Create multiple branches within the scenario to handle complex logic.
  • Merging: Combine different node branches into one, passing data through it.
  • Plug n Play Nodes: Use nodes that don’t require account credentials.
  • Ask AI: Use the GPT-powered option to add AI capabilities to any node.
  • Wait: Set waiting times, either for intervals or until specific dates.
  • Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
  • Iteration: Process arrays of data when needed.
  • Code: Write custom code or ask our AI assistant to do it for you.
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Save and Activate the Scenario

After configuring Google Cloud BigQuery, Straker Verify, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.

Test the Scenario

Run the scenario by clicking “Run once” and triggering an event to check if the Google Cloud BigQuery and Straker Verify integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Straker Verify (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Google Cloud BigQuery and Straker Verify

Straker Verify + Google Sheets: When a file is verified in Straker Verify, download the verification results and add them as a new row in a Google Sheet for reporting purposes.

Straker Verify + Slack: When a file is verified in Straker Verify, check if there are any anomalies and alert the security team in Slack via a public channel message if anomalies are detected.

Google Cloud BigQuery and Straker Verify integration alternatives

About Google Cloud BigQuery

Use Google Cloud BigQuery in Latenode to automate data warehousing tasks. Query, analyze, and transform huge datasets as part of your workflows. Schedule data imports, trigger reports, or feed insights into other apps. Automate complex analysis without code and scale your insights with Latenode’s flexible, pay-as-you-go platform.

About Straker Verify

Integrate Straker Verify in Latenode to automate translation quality checks. Flag low-quality translations based on your criteria. Build workflows that automatically re-translate or alert linguists. Use Latenode’s visual editor to connect Straker Verify to your CMS, TMS, or other systems without code, ensuring consistent output and faster localization cycles.

See how Latenode works

FAQ Google Cloud BigQuery and Straker Verify

How can I connect my Google Cloud BigQuery account to Straker Verify using Latenode?

To connect your Google Cloud BigQuery account to Straker Verify on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Google Cloud BigQuery and click on "Connect".
  • Authenticate your Google Cloud BigQuery and Straker Verify accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automate translation quality reporting using BigQuery data?

Yes, you can! Latenode lets you trigger Straker Verify analyses directly from BigQuery data, automating quality reporting and saving significant time.

What types of tasks can I perform by integrating Google Cloud BigQuery with Straker Verify?

Integrating Google Cloud BigQuery with Straker Verify allows you to perform various tasks, including:

  • Automatically trigger translation quality checks on new BigQuery data.
  • Aggregate translation quality scores within your BigQuery data warehouse.
  • Monitor translation costs and quality across different languages.
  • Generate reports on translation performance metrics using BigQuery.
  • Schedule recurring Straker Verify analyses based on BigQuery data changes.

Can Latenode handle large BigQuery datasets for Straker Verify?

Yes, Latenode efficiently processes large datasets from BigQuery, leveraging serverless architecture for seamless scaling and quick analysis.

Are there any limitations to the Google Cloud BigQuery and Straker Verify integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Data transfer costs from Google Cloud BigQuery may apply based on usage.
  • Real-time triggering is subject to BigQuery's data update frequency.
  • Complex data transformations may require custom JavaScript code.

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