Top companies trust Airbyte to centralize their Data
This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.
This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.
Set up a source connector to extract data from in Airbyte
Choose from one of 300+ sources where you want to import data from. This can be any API tool, cloud data warehouse, database, data lake, files, among other source types. You can even build your own source connector in minutes with our no-code connector builder.
Configure the connection in Airbyte
Ship more quickly with the only solution that fits ALL your needs.
As your tools and edge cases grow, you deserve an extensible and open ELT solution that eliminates the time you spend on building and maintaining data pipelines
Leverage the largest catalog of connectors
Cover your custom needs with our extensibility
Free your time from maintaining connectors, with automation
- Automated schema change handling, data normalization and more
- Automated data transformation orchestration with our dbt integration
- Automated workflow with our Airflow, Dagster and Prefect integration
Reliability at every level
Ship more quickly with the only solution that fits ALL your needs.
As your tools and edge cases grow, you deserve an extensible and open ELT solution that eliminates the time you spend on building and maintaining data pipelines
Leverage the largest catalog of connectors
Cover your custom needs with our extensibility
Free your time from maintaining connectors, with automation
- Automated schema change handling, data normalization and more
- Automated data transformation orchestration with our dbt integration
- Automated workflow with our Airflow, Dagster and Prefect integration
Reliability at every level
Ship more quickly with the only solution that fits ALL your needs.
As your tools and edge cases grow, you deserve an extensible and open ELT solution that eliminates the time you spend on building and maintaining data pipelines
Leverage the largest catalog of connectors
Cover your custom needs with our extensibility
Free your time from maintaining connectors, with automation
- Automated schema change handling, data normalization and more
- Automated data transformation orchestration with our dbt integration
- Automated workflow with our Airflow, Dagster and Prefect integration
Reliability at every level
Move large volumes, fast.
Change Data Capture.
Security from source to destination.
We support the CDC methods your company needs
Log-based CDC
Timestamp-based CDC
Airbyte Open Source
Airbyte Cloud
Airbyte Enterprise
Why choose Airbyte as the backbone of your data infrastructure?
Keep your data engineering costs in check
Get Airbyte hosted where you need it to be
- Airbyte Cloud: Have it hosted by us, with all the security you need (SOC2, ISO, GDPR, HIPAA Conduit).
- Airbyte Enterprise: Have it hosted within your own infrastructure, so your data and secrets never leave it.
White-glove enterprise-level support
Including for your Airbyte Open Source instance with our premium support.
Airbyte supports a growing list of destinations, including cloud data warehouses, lakes, and databases.
Airbyte supports a growing list of destinations, including cloud data warehouses, lakes, and databases.
Airbyte supports a growing list of sources, including API tools, cloud data warehouses, lakes, databases, and files, or even custom sources you can build.
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FAQs
What is ETL?
ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.
Z Workforce is a cloud-based workforce management tool that helps organizations manage their workforce efficiently. It is designed to streamline the entire process of employee scheduling, time and attendance tracking, and payroll management. The tool provides a centralized platform for managers to create and manage employee schedules, track employee time and attendance, and generate accurate payroll reports. Z Workforce offers a range of features that make it easy for managers to create and manage employee schedules. The tool allows managers to create schedules based on employee availability, skill set, and workload. It also provides real-time visibility into employee schedules, enabling managers to make changes on the fly. The time and attendance tracking feature of Z Workforce allows employees to clock in and out using their mobile devices or desktop computers. The tool also provides real-time visibility into employee attendance, enabling managers to monitor employee attendance and take corrective action if necessary. The payroll management feature of Z Workforce enables managers to generate accurate payroll reports based on employee time and attendance data. The tool also integrates with popular payroll systems, making it easy for managers to export payroll data to their preferred payroll system. Overall, Z Workforce is a powerful tool that helps organizations manage their workforce efficiently and effectively.
1. Employee information: The API allows you to extract data related to employee information such as name, job title, department, contact details, and other relevant details.
2. Time and attendance data: You can extract data related to employee attendance, including clock-in and clock-out times, breaks, and other relevant information.
3. Scheduling data: The API allows you to extract data related to employee schedules, including shift timings, days off, and other relevant information.
4. Payroll data: You can extract data related to employee payroll, including salary, bonuses, deductions, and other relevant information.
5. Performance data: The API allows you to extract data related to employee performance, including performance reviews, goals, and other relevant information.
6. Training data: You can extract data related to employee training, including courses completed, certifications earned, and other relevant information.
7. Compliance data: The API allows you to extract data related to compliance, including employee certifications, licenses, and other relevant information.
8. Analytics data: You can extract data related to workforce analytics, including employee turnover, absenteeism, and other relevant information.
9. HR data: The API allows you to extract data related to HR processes, including recruitment, onboarding, and other relevant information.
10. Benefits data: You can extract data related to employee benefits, including health insurance, retirement plans, and other relevant information.
What is ELT?
ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.
Difference between ETL and ELT?
ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.
What is ETL?
ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.
Z Workforce is a cloud-based workforce management tool that helps organizations manage their workforce efficiently. It is designed to streamline the entire process of employee scheduling, time and attendance tracking, and payroll management. The tool provides a centralized platform for managers to create and manage employee schedules, track employee time and attendance, and generate accurate payroll reports. Z Workforce offers a range of features that make it easy for managers to create and manage employee schedules. The tool allows managers to create schedules based on employee availability, skill set, and workload. It also provides real-time visibility into employee schedules, enabling managers to make changes on the fly. The time and attendance tracking feature of Z Workforce allows employees to clock in and out using their mobile devices or desktop computers. The tool also provides real-time visibility into employee attendance, enabling managers to monitor employee attendance and take corrective action if necessary. The payroll management feature of Z Workforce enables managers to generate accurate payroll reports based on employee time and attendance data. The tool also integrates with popular payroll systems, making it easy for managers to export payroll data to their preferred payroll system. Overall, Z Workforce is a powerful tool that helps organizations manage their workforce efficiently and effectively.
1. Employee information: The API allows you to extract data related to employee information such as name, job title, department, contact details, and other relevant details.
2. Time and attendance data: You can extract data related to employee attendance, including clock-in and clock-out times, breaks, and other relevant information.
3. Scheduling data: The API allows you to extract data related to employee schedules, including shift timings, days off, and other relevant information.
4. Payroll data: You can extract data related to employee payroll, including salary, bonuses, deductions, and other relevant information.
5. Performance data: The API allows you to extract data related to employee performance, including performance reviews, goals, and other relevant information.
6. Training data: You can extract data related to employee training, including courses completed, certifications earned, and other relevant information.
7. Compliance data: The API allows you to extract data related to compliance, including employee certifications, licenses, and other relevant information.
8. Analytics data: You can extract data related to workforce analytics, including employee turnover, absenteeism, and other relevant information.
9. HR data: The API allows you to extract data related to HR processes, including recruitment, onboarding, and other relevant information.
10. Benefits data: You can extract data related to employee benefits, including health insurance, retirement plans, and other relevant information.
What is ELT?
ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.
Difference between ETL and ELT?
ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.
What is ETL?
ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.
Z Workforce is a cloud-based workforce management tool that helps organizations manage their workforce efficiently. It is designed to streamline the entire process of employee scheduling, time and attendance tracking, and payroll management. The tool provides a centralized platform for managers to create and manage employee schedules, track employee time and attendance, and generate accurate payroll reports. Z Workforce offers a range of features that make it easy for managers to create and manage employee schedules. The tool allows managers to create schedules based on employee availability, skill set, and workload. It also provides real-time visibility into employee schedules, enabling managers to make changes on the fly. The time and attendance tracking feature of Z Workforce allows employees to clock in and out using their mobile devices or desktop computers. The tool also provides real-time visibility into employee attendance, enabling managers to monitor employee attendance and take corrective action if necessary. The payroll management feature of Z Workforce enables managers to generate accurate payroll reports based on employee time and attendance data. The tool also integrates with popular payroll systems, making it easy for managers to export payroll data to their preferred payroll system. Overall, Z Workforce is a powerful tool that helps organizations manage their workforce efficiently and effectively.
1. Employee information: The API allows you to extract data related to employee information such as name, job title, department, contact details, and other relevant details.
2. Time and attendance data: You can extract data related to employee attendance, including clock-in and clock-out times, breaks, and other relevant information.
3. Scheduling data: The API allows you to extract data related to employee schedules, including shift timings, days off, and other relevant information.
4. Payroll data: You can extract data related to employee payroll, including salary, bonuses, deductions, and other relevant information.
5. Performance data: The API allows you to extract data related to employee performance, including performance reviews, goals, and other relevant information.
6. Training data: You can extract data related to employee training, including courses completed, certifications earned, and other relevant information.
7. Compliance data: The API allows you to extract data related to compliance, including employee certifications, licenses, and other relevant information.
8. Analytics data: You can extract data related to workforce analytics, including employee turnover, absenteeism, and other relevant information.
9. HR data: The API allows you to extract data related to HR processes, including recruitment, onboarding, and other relevant information.
10. Benefits data: You can extract data related to employee benefits, including health insurance, retirement plans, and other relevant information.
1. First, navigate to the Z Workforce source connector page on Airbyte's website.
2. Click on the "Setup" button to begin configuring the connector.
3. Enter a name for the connector in the "Name" field.
4. In the "API Key" field, enter your Z Workforce API key.
5. In the "Base URL" field, enter the base URL for your Z Workforce instance.
6. Click on the "Test" button to ensure that the connection is successful.
7. If the test is successful, click on the "Save & Continue" button to proceed.
8. Select the tables that you want to replicate from Z Workforce to Airbyte.
9. Configure any additional settings, such as the replication frequency and the maximum number of records to replicate.
10. Click on the "Save & Test" button to ensure that the configuration is successful.
11. If the test is successful, click on the "Create Connection" button to finalize the setup.
12. Your Z Workforce source connector is now ready to use in Airbyte.
What is ELT?
ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.
Difference between ETL and ELT?
ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.
