Google Cloud BigQuery and Bitrix24 Integration

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Google Cloud BigQuery

Bitrix24

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Cloud BigQuery and Bitrix24

Create a New Scenario to Connect Google Cloud BigQuery and Bitrix24

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 Bitrix24 will be your first step. To do this, click "Choose an app," find Google Cloud BigQuery or Bitrix24, 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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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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Add the Bitrix24 Node

Next, click the plus (+) icon on the Google Cloud BigQuery node, select Bitrix24 from the list of available apps, and choose the action you need from the list of nodes within Bitrix24.

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Authenticate Bitrix24

Now, click the Bitrix24 node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Bitrix24 settings. Authentication allows you to use Bitrix24 through Latenode.

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Configure the Google Cloud BigQuery and Bitrix24 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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Set Up the Google Cloud BigQuery and Bitrix24 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, Bitrix24, 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 Bitrix24 integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Bitrix24 (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 Bitrix24

Bitrix24 + Google Sheets + Slack: When a new deal is created in Bitrix24, the deal information is added to a Google Sheet. Then, a notification about the new deal is sent to a designated Slack channel.

Bitrix24 + Google Sheets + Slack: When a new lead is created in Bitrix24, the lead information is added to a Google Sheet and a notification is sent to a dedicated Slack channel.

Google Cloud BigQuery and Bitrix24 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 Bitrix24

Automate Bitrix24 tasks in Latenode: update deals, manage contacts, and track tasks without manual work. Connect Bitrix24 CRM data to other apps, like email or spreadsheets, for streamlined workflows. Latenode’s visual editor and flexible code options make complex Bitrix24 automation simple and scalable, avoiding per-step fees.

See how Latenode works

FAQ Google Cloud BigQuery and Bitrix24

How can I connect my Google Cloud BigQuery account to Bitrix24 using Latenode?

To connect your Google Cloud BigQuery account to Bitrix24 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 Bitrix24 accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automate lead enrichment with BigQuery data?

Yes, you can! Latenode enables seamless data transfer between Google Cloud BigQuery and Bitrix24, automating lead enrichment and improving CRM data accuracy. No coding required!

What types of tasks can I perform by integrating Google Cloud BigQuery with Bitrix24?

Integrating Google Cloud BigQuery with Bitrix24 allows you to perform various tasks, including:

  • Automatically updating contact information in Bitrix24 from BigQuery data.
  • Triggering Bitrix24 tasks based on data analysis in Google Cloud BigQuery.
  • Creating custom reports in Bitrix24 using aggregated BigQuery data.
  • Synchronizing marketing campaign results from BigQuery to Bitrix24.
  • Generating personalized offers in Bitrix24 based on BigQuery customer segments.

How do I handle large datasets from Google Cloud BigQuery in Latenode?

Latenode efficiently processes large datasets using batch processing and data streaming, ensuring reliable integration without performance bottlenecks.

Are there any limitations to the Google Cloud BigQuery and Bitrix24 integration on Latenode?

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

  • Initial data synchronization can take time depending on dataset size.
  • Complex data transformations might require JavaScript knowledge.
  • API rate limits of Google Cloud BigQuery and Bitrix24 still apply.

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