How does Kondado replicate Tangerino data to BigQuery?

Kondado connects directly to your Tangerino account to extract data from your selected pipelines. The platform then loads this information into your specified BigQuery dataset on your chosen schedule, maintaining data consistency without requiring manual exports or technical infrastructure.

What specific Tangerino data can I replicate to BigQuery?

You can replicate two main pipelines: the Daily Summary pipeline containing worked hours, paid hours, compensatory hours, and holiday indicators, plus the Employees pipeline with names, email addresses, job roles, and admission dates. Together these provide 153 fields covering attendance tracking and workforce demographics for comprehensive HR analytics.

How often does Tangerino data update in BigQuery?

Kondado updates your Tangerino data on a configurable schedule that you control, with options ranging from every 5 minutes to daily intervals. This near-real-time capability ensures your workforce analytics reflect current attendance patterns while balancing BigQuery processing costs against your reporting urgency.

What format does Tangerino data take in BigQuery?

Tangerino data loads into BigQuery maintaining its original structure and data types, making fields like employee IDs, timestamps, and numerical hours immediately queryable using standard SQL. Each pipeline becomes a distinct dataset that you can join with other business data or visualize in tools like Looker Studio .

Can I combine Tangerino data with other sources in BigQuery?

Absolutely, BigQuery serves as a central repository where Tangerino workforce data can be joined with financial information from PostgreSQL or sales metrics from other platforms. This enables cross-functional analysis such as correlating labor costs with revenue or matching employee attendance against project timelines stored in your data warehouse.

Do I need coding skills to send Tangerino data to BigQuery?

No coding is required to establish the connection or maintain ongoing data replication between Tangerino and BigQuery. Kondado provides a visual interface where you authenticate your account, select your desired pipelines, and configure your update schedule through simple dropdown menus.

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Send Tangerino Data to BigQuery Automatically

Kondado enables you to replicate your Tangerino attendance and time tracking data directly into BigQuery without writing any code. Simply select your data source, authenticate your Tangerino account, and choose which data pipelines you want to replicate. Your employee attendance records, work hours, and HR information will flow into your BigQuery data warehouse on a configurable schedule that matches your business needs, eliminating manual CSV exports and tedious data entry tasks.

Kondado automatically replicates Tangerino’s Daily Summary and Employees pipelines to BigQuery on a configurable schedule ranging from every 5 minutes to daily, enabling automated workforce analytics without manual data extraction.

Once your data arrives in BigQuery, you can combine Tangerino workforce metrics with financial data from other sources to build comprehensive labor cost analyses and payroll verification reports. Create custom dashboards that track employee productivity, attendance patterns, and overtime trends using your preferred business intelligence tools such as Looker Studio or Power BI.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

The Daily Summary pipeline delivers worked hours, paid hours, and compensatory hours directly into your data warehouse, allowing you to analyze attendance patterns and labor costs across departments. Meanwhile, the Employees pipeline provides essential HR data including names, email addresses, and admission dates that enable you to track workforce composition changes over time.

With both pipelines active in BigQuery, you can correlate individual employee records with their daily attendance metrics to identify productivity trends, monitor overtime utilization, and verify payroll accuracy. This unified dataset supports advanced analytics such as calculating cost per project, predicting staffing needs based on historical patterns, and generating automated compliance reports for HR audits.

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Tangerino data available for BigQuery

available pipelines

153

extractable fields

Available integrations

Integration	Description
Daily Summary	Includes information such as worked hours, paid hours, and compensatory hours. Fields like id, employeeid, and isholiday help analyze employee attendance.
Employees	Contains data about employees, including name, email, and admission date. Fields like id, jobroledto__id, and birthdate provide essential details about each employee.

Daily Summary

Includes information such as worked hours, paid hours, and compensatory hours. Fields like id, employeeid, and isholiday help analyze employee attendance.

Employees

Contains data about employees, including name, email, and admission date. Fields like id, jobroledto__id, and birthdate provide essential details about each employee.

See all available data →

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