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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.
Strava is a late-stage venture company and fitness-focused social app for tracking exercise. It is one of the most popular fitness apps for those with a competitive edge. Strava is an online network where runners and cyclists can record their activities, compare performance, and compete with their community. Strava is a worldwide community of millions of runners, cyclists and triathletes, united by the fellowship of sport. Strava is a free digital service available through both mobile applications and the web.
Strava's API provides access to a wide range of data related to user activities on the platform. The following are the categories of data that can be accessed through Strava's API:
1. Athlete data: This includes information about the user's profile, such as name, age, gender, weight, and location.
2. Activity data: This includes information about the user's activities, such as distance, duration, speed, elevation, and heart rate.
3. Segment data: This includes information about the user's performance on specific segments, such as the segment name, distance, elevation, and leaderboard rankings.
4. Route data: This includes information about the user's created routes, such as the route name, distance, elevation, and map coordinates.
5. Club data: This includes information about the user's clubs, such as the club name, description, and member list.
6. Gear data: This includes information about the user's gear, such as the gear name, type, and usage statistics.
7. Authorization data: This includes information about the user's authorization status, such as access tokens and refresh tokens.
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.
Strava is a late-stage venture company and fitness-focused social app for tracking exercise. It is one of the most popular fitness apps for those with a competitive edge. Strava is an online network where runners and cyclists can record their activities, compare performance, and compete with their community. Strava is a worldwide community of millions of runners, cyclists and triathletes, united by the fellowship of sport. Strava is a free digital service available through both mobile applications and the web.
An integrated cloud application and platform service, Oracle offers an array of enterprise information technology solutions. Other company offerings include software-as-a-service (SaaS), platform-as-a-service (PaaS, and infrastructure-as-a-service (IaaS). The Oracle Cloud Infrastructure provides companies the convenience of the public cloud combined with the security and control of on-premises infrastructure. Oracle Cloud Applications help companies streamline their business processes, increase productivity and reduce costs with software applications such as Project Portfolio Management, ERP Financials, Procurement, and more.
1. Go to the Airbyte website and navigate to the "Sources" tab.
2. Find the Strava source connector and click on it.
3. Click on the "Create new connection" button.
4. Enter a name for your connection and click on "Next".
5. Enter your Strava credentials (email and password) and click on "Authorize".
6. Select the data you want to sync from Strava (activities, athletes, etc.) and click on "Next".
7. Choose the frequency of the sync (hourly, daily, weekly, etc.) and click on "Next".
8. Review your connection settings and click on "Create connection".
9. Wait for the sync to complete and check the status of your connection on the Airbyte dashboard.
Note: It is important to ensure that your Strava account has the necessary permissions to allow Airbyte to access your data. You may need to adjust your Strava privacy settings to enable this. Additionally, it is recommended to review the Airbyte documentation for more detailed instructions and troubleshooting tips.
1. First, ensure that you have the necessary credentials to access your Oracle DB. This includes the hostname, port number, database name, username, and password.
2. Open the Airbyte platform and navigate to the "Destinations" tab on the left-hand side of the screen.
3. Scroll down until you find the "Oracle DB" destination connector and click on it.
4. Click on the "Create new connection" button to begin setting up your Oracle DB destination.
5. Enter a name for your connection and fill in the required fields with your Oracle DB credentials.
6. Test the connection to ensure that Airbyte can successfully connect to your Oracle DB.
7. Once the connection is successful, you can configure the settings for your Oracle DB destination. This includes selecting the tables you want to sync, setting up any transformations or mappings, and scheduling the sync frequency.
8. Save your settings and start the sync process. Airbyte will begin pulling data from your source and pushing it to your Oracle DB destination.
9. Monitor the sync process to ensure that it is running smoothly and troubleshoot any issues that may arise.
10. Once the sync is complete, you can access your data in your Oracle DB and use it for analysis, reporting, or any other purposes.
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!
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
Ready to get started?
Frequently Asked Questions
Strava's API provides access to a wide range of data related to user activities on the platform. The following are the categories of data that can be accessed through Strava's API:
1. Athlete data: This includes information about the user's profile, such as name, age, gender, weight, and location.
2. Activity data: This includes information about the user's activities, such as distance, duration, speed, elevation, and heart rate.
3. Segment data: This includes information about the user's performance on specific segments, such as the segment name, distance, elevation, and leaderboard rankings.
4. Route data: This includes information about the user's created routes, such as the route name, distance, elevation, and map coordinates.
5. Club data: This includes information about the user's clubs, such as the club name, description, and member list.
6. Gear data: This includes information about the user's gear, such as the gear name, type, and usage statistics.
7. Authorization data: This includes information about the user's authorization status, such as access tokens and refresh tokens.
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey: