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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.
A cloud-based management platform, Smartsheet empowers businesses to accomplish all things business. Smartsheet drives collaboration, supports better decision making, and accelerates innovation, enabling businesses to advance from ideation to impact in record time. Chosen by more than 70,000 brands in 190 different countries, Smartsheet simply makes business smarter—and simpler, since it integrates seamlessly with applications businesses already use from Google, Atlassian, Salesforce, Microsoft, and more.
Smartsheet's API provides access to a wide range of data types, including:
1. Sheets: Access to all sheets within a Smartsheet account, including their metadata and contents.
2. Rows: Access to individual rows within a sheet, including their metadata and contents.
3. Columns: Access to individual columns within a sheet, including their metadata and contents.
4. Cells: Access to individual cells within a sheet, including their metadata and contents.
5. Attachments: Access to all attachments associated with a sheet, row, or cell.
6. Comments: Access to all comments associated with a sheet, row, or cell.
7. Users: Access to information about users within a Smartsheet account, including their metadata and permissions.
8. Groups: Access to information about groups within a Smartsheet account, including their metadata and membership.
9. Reports: Access to all reports within a Smartsheet account, including their metadata and contents.
10. Templates: Access to all templates within a Smartsheet account, including their metadata and contents.
Overall, Smartsheet's API provides a comprehensive set of tools for accessing and manipulating data within a Smartsheet account, making it a powerful tool for developers and businesses looking to integrate Smartsheet into their workflows.
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.
A cloud-based management platform, Smartsheet empowers businesses to accomplish all things business. Smartsheet drives collaboration, supports better decision making, and accelerates innovation, enabling businesses to advance from ideation to impact in record time. Chosen by more than 70,000 brands in 190 different countries, Smartsheet simply makes business smarter—and simpler, since it integrates seamlessly with applications businesses already use from Google, Atlassian, Salesforce, Microsoft, and more.
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 Smartsheets source connector page on Airbyte.com.
2. Click on the "Add Source" button.
3. Enter a name for your Smartsheets source connector.
4. Enter your Smartsheets API access token in the "API Access Token" field.
5. Enter your Smartsheets account ID in the "Account ID" field.
6. Click on the "Test" button to ensure that the credentials are correct.
7. If the test is successful, click on the "Save & Continue" button.
8. Select the tables that you want to replicate from Smartsheets.
9. Choose the replication frequency and the destination where you want to store the data.
10. Click on the "Create Connection" button to start the replication process.
Once you have completed these steps, Airbyte will start replicating the data from your Smartsheets account to the destination that you have chosen. You can monitor the replication process and view the data in the destination by logging into your Airbyte account.
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.
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
Smartsheet's API provides access to a wide range of data types, including:
1. Sheets: Access to all sheets within a Smartsheet account, including their metadata and contents.
2. Rows: Access to individual rows within a sheet, including their metadata and contents.
3. Columns: Access to individual columns within a sheet, including their metadata and contents.
4. Cells: Access to individual cells within a sheet, including their metadata and contents.
5. Attachments: Access to all attachments associated with a sheet, row, or cell.
6. Comments: Access to all comments associated with a sheet, row, or cell.
7. Users: Access to information about users within a Smartsheet account, including their metadata and permissions.
8. Groups: Access to information about groups within a Smartsheet account, including their metadata and membership.
9. Reports: Access to all reports within a Smartsheet account, including their metadata and contents.
10. Templates: Access to all templates within a Smartsheet account, including their metadata and contents.
Overall, Smartsheet's API provides a comprehensive set of tools for accessing and manipulating data within a Smartsheet account, making it a powerful tool for developers and businesses looking to integrate Smartsheet into their workflows.
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey: