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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.
The Pexels API enables programmatic access to the entire Pexels content library, including photos, videos. All content is free, and you're welcome to use Pexels content for anything, as long as it stays within our guidelines.The Pexels API is a RESTful JSON API, and you can interact with it from any language or framework with an HTTP library. Alternatively, Pexels maintains some official client libraries that you can use.
Pexels API provides access to a vast collection of high-quality images and videos that can be used for various purposes. The API offers a range of data categories, including:
- Images: Pexels API provides access to millions of high-quality images that can be used for commercial and personal projects. The images are available in various resolutions and formats, including JPEG and PNG.
- Videos: The API also offers access to a large collection of high-quality videos that can be used for commercial and personal projects. The videos are available in various resolutions and formats, including MP4 and MOV.
- Search: Pexels API allows users to search for images and videos based on keywords, categories, and other parameters. The search results can be filtered by various criteria, such as orientation, size, and color.
- Popular: The API provides access to a list of popular images and videos that are currently trending on the platform.
- Curated Collections: Pexels API offers access to a range of curated collections of images and videos that are organized by theme, such as nature, technology, and business.
- Contributors: The API also provides information about the contributors who have uploaded images and videos to the platform, including their names and profiles.
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.
The Pexels API enables programmatic access to the entire Pexels content library, including photos, videos. All content is free, and you're welcome to use Pexels content for anything, as long as it stays within our guidelines.The Pexels API is a RESTful JSON API, and you can interact with it from any language or framework with an HTTP library. Alternatively, Pexels maintains some official client libraries that you can use.
Microsoft SQL Server is a relational database management (RDBMS) built by Microsoft. As a database server, its primary function is to store and retrieve data upon the request of other software applications, either from the same computer or a different computer across a network—including the internet. To serve the needs of different audiences and workload sizes, Microsoft offers multiple editions (at least 12) of its Microsoft SQL Server.
1. First, navigate to the Airbyte dashboard and click on "Sources" on the left-hand side of the screen.
2. Click on the "Create a new source" button and select "Pexels API" from the list of available connectors.
3. Enter a name for your Pexels API source and click "Next".
4. In the "Connection Configuration" section, enter your Pexels API key in the "API Key" field.
5. Click "Test Connection" to ensure that your API key is valid and that Airbyte can connect to your Pexels account.
6. Once the connection is successful, click "Next" to proceed to the "Schema Selection" section.
7. In this section, you can choose which tables you want to replicate from your Pexels account. You can select all tables or only specific ones.
8. Click "Next" to proceed to the "Sync Schedule" section. Here, you can choose how often you want Airbyte to sync your Pexels data.
9. Once you have selected your sync schedule, click "Create Source" to save your Pexels API source.
10. You can now use your Pexels API source to replicate data to your destination of choice.
1. Open the Airbyte platform and navigate to the "Destinations" tab on the left-hand side of the screen.
2. Scroll down until you find the "MSSQL - SQL Server" connector and click on it.
3. Click on the "Create new destination" button.
4. Fill in the required information, including the destination name, host, port, database name, username, and password.
5. Click on the "Test connection" button to ensure that the connection is successful.
6. Once the connection is successful, click on the "Save" button to save the destination.
7. Navigate to the "Sources" tab on the left-hand side of the screen and select the source that you want to connect to the MSSQL - SQL Server destination.
8. Click on the "Create new connection" button.
9. Select the MSSQL - SQL Server destination that you just created from the drop-down menu.
10. Fill in the required information for the source, including the source name, host, port, database name, username, and password.
11. Click on the "Test connection" button to ensure that the connection is successful.
12. Once the connection is successful, click on the "Save" button to save the connection.13. You can now start syncing data from your source to your MSSQL - SQL Server 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!
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
Pexels API provides access to a vast collection of high-quality images and videos that can be used for various purposes. The API offers a range of data categories, including:
- Images: Pexels API provides access to millions of high-quality images that can be used for commercial and personal projects. The images are available in various resolutions and formats, including JPEG and PNG.
- Videos: The API also offers access to a large collection of high-quality videos that can be used for commercial and personal projects. The videos are available in various resolutions and formats, including MP4 and MOV.
- Search: Pexels API allows users to search for images and videos based on keywords, categories, and other parameters. The search results can be filtered by various criteria, such as orientation, size, and color.
- Popular: The API provides access to a list of popular images and videos that are currently trending on the platform.
- Curated Collections: Pexels API offers access to a range of curated collections of images and videos that are organized by theme, such as nature, technology, and business.
- Contributors: The API also provides information about the contributors who have uploaded images and videos to the platform, including their names and profiles.
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey: