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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.
Instagram is a popular photo/video sharing application that enables users to share images and text captions with other people on social media. The app allows users to apply a variety of custom filter effects to enhance their images. Instagram is a free service and offers the ability to follow others, make user profiles private or public, post to other linked social accounts, and tag people or a location.
Instagram's API provides access to a wide range of data related to user accounts, media, and interactions. Here are the categories of data that can be accessed through Instagram's API:
1. User data: This includes information about a user's profile, such as their username, bio, profile picture, follower count, and following count.
2. Media data: This includes information about the media that a user has posted, such as the caption, location, likes, comments, and tags.
3. Hashtag data: This includes information about hashtags that are used in posts, such as the number of posts that have used a particular hashtag, and the top posts for a given hashtag.
4. Location data: This includes information about the locations that are associated with posts, such as the name of the location, the latitude and longitude, and the number of posts associated with a particular location.
5. Comment data: This includes information about the comments that are posted on media, such as the text of the comment, the username of the commenter, and the time the comment was posted.
6. Like data: This includes information about the likes that are given to media, such as the username of the user who liked the media, and the time the like was given.
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.
Instagram is a popular photo/video sharing application that enables users to share images and text captions with other people on social media. The app allows users to apply a variety of custom filter effects to enhance their images. Instagram is a free service and offers the ability to follow others, make user profiles private or public, post to other linked social accounts, and tag people or a location.
Starburst Data is a data access and analytics company that offers a cloud-native, SQL-based query engine called Presto. Their mission is to enable organizations to access and analyze data across various sources efficiently and at scale. Starburst Data provides an enterprise-grade platform that leverages the power of Presto to query data residing in different databases, data lakes, and cloud storage systems, eliminating data silos and accelerating insights. With a focus on performance, security, and ease of use, Starburst Data empowers businesses to unlock the value of their data, enabling faster decision-making and advanced analytics capabilities.
1. Open the Airbyte platform and navigate to the "Sources" tab on the left-hand side of the screen.
2. Click on the "Add Source" button and select "Instagram" from the list of available connectors.
3. In the "Configure Instagram" page, enter your Instagram username and password in the appropriate fields.
4. Click on the "Test Connection" button to ensure that the credentials are correct and the connection is successful.
5. Once the connection is verified, click on the "Save & Test" button to save the configuration and test the connection again.
6. If the test is successful, click on the "Create" button to create the Instagram source connector.
7. You can now use the Instagram source connector to extract data from your Instagram account and integrate it with other tools and platforms.
1. First, navigate to the connectors page on Airbyte and select the Starburst Galaxy destination connector.
2. Next, enter the required credentials for your Starburst Galaxy account, including the host, port, database name, username, and password.
3. Once you have entered your credentials, click on the "Test Connection" button to ensure that the connection is successful.
4. If the connection is successful, you can then configure the settings for your destination connector, including the table name, schema, and any additional options.
5. After configuring your settings, you can then run a sync to transfer data from your source connector to your Starburst Galaxy destination.
6. You can monitor the progress of your sync and view any errors or warnings that may occur during the transfer process.
7. Once the sync is complete, you can then view your data in your Starburst Galaxy database and use it for analysis or 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
Instagram's API provides access to a wide range of data related to user accounts, media, and interactions. Here are the categories of data that can be accessed through Instagram's API:
1. User data: This includes information about a user's profile, such as their username, bio, profile picture, follower count, and following count.
2. Media data: This includes information about the media that a user has posted, such as the caption, location, likes, comments, and tags.
3. Hashtag data: This includes information about hashtags that are used in posts, such as the number of posts that have used a particular hashtag, and the top posts for a given hashtag.
4. Location data: This includes information about the locations that are associated with posts, such as the name of the location, the latitude and longitude, and the number of posts associated with a particular location.
5. Comment data: This includes information about the comments that are posted on media, such as the text of the comment, the username of the commenter, and the time the comment was posted.
6. Like data: This includes information about the likes that are given to media, such as the username of the user who liked the media, and the time the like was given.
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey: