How often does Kondado update EADBOX data in PostgreSQL?

You can configure updates to run every 5 minutes, 15 minutes, hourly, or daily depending on your reporting needs. The schedule is fully customizable through the Kondado interface without requiring any code changes. This flexibility lets you balance data freshness with processing efficiency based on how frequently your EADBOX content changes.

What specific EADBOX data can I replicate to PostgreSQL?

Kondado offers three pipelines covering 97 fields total: the Users pipeline contains profile information including emails, names, and locations, the Logins pipeline captures session activity with timestamps and IP addresses, and the Courses pipeline includes titles, descriptions, pricing status, and workload details. You can select all pipelines or choose specific ones based on your analytical requirements.

Can I combine EADBOX data with other sources in PostgreSQL?

Yes, once your EADBOX data resides in PostgreSQL, you can join it with data from other platforms like CRM systems or marketing tools. This enables comprehensive analysis such as correlating course completion rates with sales pipeline data or support ticket volumes. You can also send this combined data to Power BI or Looker Studio for visualization.

How is EADBOX data structured when it arrives in PostgreSQL?

Each pipeline becomes a separate table in your PostgreSQL database with preserved field names and data types from EADBOX. The schema includes standard identifiers like user_id and course_id that facilitate joining between tables, along with timestamps for tracking record changes. This structure supports immediate SQL querying and connection to business intelligence tools without additional transformation layers.

Do I need technical skills to set up EADBOX to PostgreSQL replication?

No coding is required to establish the connection or maintain ongoing replication. The setup process uses Kondado's visual interface to authenticate your EADBOX account and configure your PostgreSQL destination. Once established, the platform manages schema updates and data transfers automatically, though basic SQL knowledge helps when querying the replicated data for reports.

Can I send EADBOX data to PostgreSQL and Power BI simultaneously?

Yes, Kondado supports multiple destinations for the same data source, allowing you to replicate EADBOX data to PostgreSQL while also sending it directly to Power BI or Google Sheets . This multi-destination approach ensures your analytics team can work in PostgreSQL while business users access dashboards in their preferred visualization tool.

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Connect EADBOX to PostgreSQL Data Pipelines

How to send EADBOX data to PostgreSQL? Kondado provides a no-code solution that replicates your e-learning platform data to your database on a configurable schedule. Simply connect your EADBOX account as a data source, select PostgreSQL as your destination, and choose which pipelines you need for your analysis. The platform handles the data replication automatically, updating your database every 5 minutes, hourly, or daily based on your business requirements. Once your data arrives in PostgreSQL, you can build custom dashboards, combine it with other business data, or create detailed reports on student engagement and course performance without writing complex API queries. This automated workflow ensures your training analytics stay current while eliminating manual data exports. Analysts can immediately run SQL queries across user profiles, login patterns, and course catalogs to uncover trends in learning behaviors.

Kondado replicates EADBOX data to PostgreSQL automatically on a configurable schedule, offering three pipelines: Users, Logins, and Courses, with 97 total fields available for analysis.

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Available EADBOX Pipelines for PostgreSQL

With the Users pipeline, you can analyze student demographics and engagement patterns directly in your PostgreSQL database, segmenting learners by profession or location for targeted campaigns. The Logins pipeline tracks access activity through session data and timestamps, enabling you to monitor platform utilization and identify inactive users who might need re-engagement. Meanwhile, the Courses pipeline delivers comprehensive catalog information including pricing status and workload data, allowing you to correlate content characteristics with enrollment trends. By having all three datasets in PostgreSQL, you create a centralized repository where SQL queries reveal insights about which course attributes drive completion rates and how geographic factors influence learning behaviors.

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EADBOX data available for PostgreSQL

available pipelines

extractable fields

Available integrations

Integration	Description
Users	Table contains information about users, including user_id, email, name, and active status, as well as data like profession and location.
Logins	Table records user logins, including session_id, login timestamp, and user IP, allowing tracking of access activity.
Courses	Table presents details of courses, such as course_id, title, description, and whether it is paid, along with information on target audience and workload.

Users

Table contains information about users, including user_id, email, name, and active status, as well as data like profession and location.

Logins

Table records user logins, including session_id, login timestamp, and user IP, allowing tracking of access activity.

Courses

Table presents details of courses, such as course_id, title, description, and whether it is paid, along with information on target audience and workload.

See all available data →

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How to send EADBOX data to PostgreSQL

Sync data automatically — no code, no manual exports.

Connect EADBOX Account

Authenticate your EADBOX instance through Kondado's data source configuration page using your API credentials. The platform will automatically detect available pipelines including Users, Logins, and Courses.

Configure PostgreSQL Destination

Enter your PostgreSQL connection details including host, database name, and credentials to establish the target location for your replicated data. Kondado validates the connection to ensure write permissions are properly configured.

Select Pipelines and Schedule

Choose which EADBOX pipelines to replicate from the available 97 fields, then set your preferred update frequency ranging from every 5 minutes to daily. Once activated, Kondado automatically creates the necessary database structures and begins transferring data according to your schedule.

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