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How to connect Kommo and Google Cloud BigQuery (REST)
Create a New Scenario to Connect Kommo and Google Cloud BigQuery (REST)
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 Kommo, triggered by another scenario, or executed manually (for testing purposes). In most cases, Kommo or Google Cloud BigQuery (REST) will be your first step. To do this, click "Choose an app," find Kommo or Google Cloud BigQuery (REST), and select the appropriate trigger to start the scenario.
Add the Kommo Node
Select the Kommo node from the app selection panel on the right.
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Add the Google Cloud BigQuery (REST) Node
Next, click the plus (+) icon on the Kommo node, select Google Cloud BigQuery (REST) from the list of available apps, and choose the action you need from the list of nodes within Google Cloud BigQuery (REST).
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Authenticate Google Cloud BigQuery (REST)
Now, click the Google Cloud BigQuery (REST) node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud BigQuery (REST) settings. Authentication allows you to use Google Cloud BigQuery (REST) through Latenode.
Configure the Kommo and Google Cloud BigQuery (REST) Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Kommo and Google Cloud BigQuery (REST) 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 Kommo, Google Cloud BigQuery (REST), 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 Kommo and Google Cloud BigQuery (REST) integration works as expected. Depending on your setup, data should flow between Kommo and Google Cloud BigQuery (REST) (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Kommo and Google Cloud BigQuery (REST)
Kommo + Google Cloud BigQuery (REST) + Google Sheets: When a new lead is created in Kommo, its data is sent to Google BigQuery. Then, BigQuery analyzes sales data and updates a Google Sheet with summarized findings for easy visualization and sharing.
Google Cloud BigQuery (REST) + Kommo + Slack: When Google BigQuery detects a sales anomaly based on a query, the relevant Kommo sales representatives are notified via a Slack channel to take appropriate action.
Kommo and Google Cloud BigQuery (REST) integration alternatives
About Kommo
Integrate Kommo with Latenode to automate sales processes. Trigger actions in other apps when deals change status, or create Kommo leads from form submissions. Build custom workflows with no-code tools or JavaScript, scaling your sales automation without complex coding. Use Latenode's visual editor to connect Kommo to your entire tech stack.
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About Google Cloud BigQuery (REST)
Automate BigQuery data workflows in Latenode. Query and analyze massive datasets directly within your automation scenarios, bypassing manual SQL. Schedule queries, transform results with JavaScript, and pipe data to other apps. Scale your data processing without complex coding or expensive per-operation fees. Perfect for reporting, analytics, and data warehousing automation.
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See how Latenode works
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FAQ Kommo and Google Cloud BigQuery (REST)
How can I connect my Kommo account to Google Cloud BigQuery (REST) using Latenode?
To connect your Kommo account to Google Cloud BigQuery (REST) on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Kommo and click on "Connect".
- Authenticate your Kommo and Google Cloud BigQuery (REST) accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze Kommo leads in BigQuery?
Yes, you can! Latenode simplifies data transfer from Kommo to BigQuery. Analyze lead behavior, improve targeting, and gain deeper insights using advanced SQL and Latenode's no-code data transformation tools.
What types of tasks can I perform by integrating Kommo with Google Cloud BigQuery (REST)?
Integrating Kommo with Google Cloud BigQuery (REST) allows you to perform various tasks, including:
- Backing up Kommo data to a secure BigQuery data warehouse.
- Creating custom dashboards for sales performance analysis.
- Automating data synchronization between Kommo and BigQuery.
- Enriching Kommo leads with external data stored in BigQuery.
- Triggering actions in Kommo based on BigQuery data analysis.
How easily can I transform Kommo data before loading it into BigQuery?
Latenode provides visual data transformation tools and JavaScript blocks, enabling easy data cleaning and formatting before loading into BigQuery.
Are there any limitations to the Kommo and Google Cloud BigQuery (REST) integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial data synchronization may take time depending on data volume.
- Complex data transformations may require JavaScript coding knowledge.
- Real-time data updates depend on the Kommo API rate limits.
