My Hours was launched back in 2002 and it is a cloud-based time-tracking solution best suited for small teams and freelancers. Since then My Hours has been rewritten twice to meet the growing demands and it is a product of Spica, a company headquartered in Ljubljana with 100+ employees. The users of My Hours can start time tracking on unlimited projects and tasks in seconds which easily generates insightful reports and create invoices.
Amazon S3 (Simple Storage Service) is a cloud-based object storage service provided by Amazon Web Services (AWS). It is designed to store and retrieve any amount of data from anywhere on the web. S3 is highly scalable, secure, and durable, making it an ideal solution for businesses of all sizes. S3 allows users to store and retrieve data in the form of objects, which can be up to 5 terabytes in size. These objects can be accessed through a web interface or through APIs, making it easy to integrate with other AWS services or third-party applications. S3 also offers a range of features, including versioning, lifecycle policies, and access control, which allow users to manage their data effectively. It also provides high availability and durability, ensuring that data is always accessible and protected against data loss. Overall, S3 is a powerful and flexible tool that enables businesses to store and manage their data in a secure and scalable way, making it an essential component of many cloud-based applications and services.
1. First, navigate to the My Hours source connector page on Airbyte.com.
2. Click on the "Setup" button to begin configuring the connector.
3. Enter your My Hours API key in the "API Key" field. You can find your API key by logging into your My Hours account and navigating to the "API" section of the settings.
4. Next, enter your My Hours email address in the "Email" field.
5. In the "Workspace ID" field, enter the ID of the workspace you want to connect to Airbyte. You can find this ID by navigating to the workspace in My Hours and looking at the URL. The ID will be the number at the end of the URL.
6. Finally, click on the "Test" button to ensure that the connection is working properly. If the test is successful, click on the "Save" button to save your credentials and complete the setup process.
7. You can now use the My Hours source connector to extract data from your My Hours workspace and integrate it with other tools and platforms through Airbyte.
1. Log in to your Airbyte account and navigate to the "Destinations" tab on the left-hand side of the screen.
2. Click on the "Add Destination" button and select "S3" from the list of available connectors.
3. Enter your AWS access key ID and secret access key in the appropriate fields. If you don't have these credentials, you can generate them in the AWS console.
4. Choose the AWS region where you want to store your data.
5. Enter the name of the S3 bucket where you want to store your data. If the bucket doesn't exist yet, you can create it in the AWS console.
6. Choose the format in which you want to store your data (e.g. CSV, JSON, Parquet).
7. Configure any additional settings, such as compression or encryption, if desired.
8. Test the connection to ensure that Airbyte can successfully connect to your S3 bucket.
9. Save your settings and start syncing data from your source connectors to your S3 destination.
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.
We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!
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What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
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Frequently Asked Questions
My Hours' API provides access to a variety of data related to time tracking and project management. The following are the categories of data that can be accessed through the API:
1. Time tracking data: This includes information about the time spent on tasks, projects, and clients. It includes start and end times, duration, and any notes or comments associated with the time entry.
2. Project data: This includes information about the projects being worked on, such as project name, description, status, and associated tasks.
3. Task data: This includes information about the individual tasks within a project, such as task name, description, status, and associated time entries.
4. Client data: This includes information about the clients being worked with, such as client name, contact information, and associated projects.
5. User data: This includes information about the users of the My Hours platform, such as user name, email address, and associated time entries, projects, and tasks.
Overall, the My Hours API provides a comprehensive set of data that can be used to analyze and optimize time tracking and project management processes.