Harvest is a provider of time tracking and online invoicing services for freelancers and small businesses. Harvest focuses on providing simple to use web-based software for professional services. Customers range from freelancers to creative services businesses, to team within Fortune 500 organizations and non-profits.
For huge analytical tables, Apache Iceberg is a high-performance format. Using Apache Iceberg, engines such as Spark, Trino, Flink, Presto, Hive and Impala can safely work with the same tables, at the same time, providing the reliability and simplicity of SQL tables to big data. With Apache Iceberg, you can merge new data, update existing rows, and delete specific rows. Data files can be eagerly rewritten or deleted deltas can be used to make updates faster.
1. Open the Airbyte UI and navigate to the "Sources" tab.
2. Click on the "New Source" button and select "Harvest" from the list of available connectors.
3. Enter a name for the Harvest source connector and click on the "Next" button.
4. Enter your Harvest account credentials, including your subdomain, email address, and password.
5. Click on the "Test" button to ensure that the connection is successful.
6. Once the connection is successful, select the data you want to replicate from Harvest.
7. Choose the replication frequency and the destination where you want to store the data.
8. Click on the "Create Source" button to save the Harvest source connector.
9. You can now run the connector to start replicating data from Harvest to your destination.
10. You can also monitor the replication status and troubleshoot any issues using the Airbyte UI.
1. Open the Airbyte platform and navigate to the "Destinations" tab on the left-hand side of the screen.
2. Click on the "Apache Iceberg" destination connector and select "Create new connection."
3. Enter a name for your connection and provide the necessary credentials for your Apache Iceberg database, including the host, port, database name, username, and password.
4. Test the connection to ensure that it is successful. 5. Select the tables or data sources that you want to replicate to your Apache Iceberg database.
6. Configure any additional settings or options for your connection, such as the frequency of data replication or any transformations that you want to apply to your data.
7. Save your connection and start the replication process.
8. Monitor the progress of your data replication and troubleshoot any issues that may arise.
9. Once the replication process is complete, verify that your data has been successfully replicated to your Apache Iceberg database.
10. Use your Apache Iceberg database to analyze and query your data as needed.
With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.
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Frequently Asked Questions
Harvest's API provides access to a wide range of data related to time tracking, invoicing, and project management. The following are the categories of data that can be accessed through Harvest's API:
1. Time tracking data: This includes information about the time spent on tasks, projects, and clients.
2. Invoicing data: This includes information about invoices, payments, and expenses.
3. Project management data: This includes information about projects, tasks, and team members.
4. Client data: This includes information about clients, contacts, and projects associated with them.
5. User data: This includes information about users, their roles, and permissions.
6. Reports data: This includes information about various reports generated by Harvest, such as time reports, expense reports, and project reports.
7. Account data: This includes information about the Harvest account, such as account settings, plan details, and billing information.
Overall, Harvest's API provides a comprehensive set of data that can be used to automate various business processes and gain insights into the performance of projects and teams.