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Sync with Airbyte
1. First, navigate to the Airbyte dashboard and click on "Sources" in the left-hand menu.
2. Click on the "New Source" button in the top right corner of the screen.
3. In the search bar, type "Secoda" and select the Secoda source connector from the list of available connectors.
4. Enter a name for your Secoda source connector and click "Next".
5. In the "Connection Configuration" section, enter your Secoda API key and API secret. These can be found in your Secoda account settings.
6. Click "Test Connection" to ensure that your credentials are correct and that Airbyte can connect to your Secoda account.
7. Once the connection is successful, click "Next" to proceed to the "Schema Selection" section.
8. Select the tables or views that you want to replicate from your Secoda account.
9. Click "Create Source" to save your Secoda source connector and begin replicating data to your destination.
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.
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.
Seconda stands for searchable company data and its mission is to make the experience of exploring, understanding, and using data.Secoda is the first workspace built for data teams. Secoda combines data dictionary, data catalog, data requests, data docs search, and data management compliance in a delightful experience, always connected to your data stack. Secoda has made it way easier to understand what data we have and how to best make use of it. It's a game-changer.
Secoda's API provides access to a wide range of data types, including:
1. Research papers and publications: The API allows users to search and access research papers and publications from various sources.
2. Data sets: The API provides access to a vast collection of data sets from different domains, including finance, healthcare, and social media.
3. News articles: The API enables users to search and access news articles from various sources, including newspapers, magazines, and online news portals.
4. Patents: The API provides access to patent data from various sources, including the United States Patent and Trademark Office (USPTO) and the European Patent Office (EPO).
5. Company information: The API allows users to search and access information about companies, including financial data, news articles, and company profiles.
6. Social media data: The API provides access to social media data from various platforms, including Twitter, Facebook, and LinkedIn.
7. Government data: The API enables users to search and access government data from various sources, including the United States Census Bureau and the World Bank.
Overall, Secoda's API provides a comprehensive set of data types that can be used for various applications, including research, analysis, and decision-making.
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.
Seconda stands for searchable company data and its mission is to make the experience of exploring, understanding, and using data.Secoda is the first workspace built for data teams. Secoda combines data dictionary, data catalog, data requests, data docs search, and data management compliance in a delightful experience, always connected to your data stack. Secoda has made it way easier to understand what data we have and how to best make use of it. It's a game-changer.
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" in the left-hand menu.
2. Click on the "New Source" button in the top right corner of the screen.
3. In the search bar, type "Secoda" and select the Secoda source connector from the list of available connectors.
4. Enter a name for your Secoda source connector and click "Next".
5. In the "Connection Configuration" section, enter your Secoda API key and API secret. These can be found in your Secoda account settings.
6. Click "Test Connection" to ensure that your credentials are correct and that Airbyte can connect to your Secoda account.
7. Once the connection is successful, click "Next" to proceed to the "Schema Selection" section.
8. Select the tables or views that you want to replicate from your Secoda account.
9. Click "Create Source" to save your Secoda source connector and begin replicating data to your destination.
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
Secoda's API provides access to a wide range of data types, including:
1. Research papers and publications: The API allows users to search and access research papers and publications from various sources.
2. Data sets: The API provides access to a vast collection of data sets from different domains, including finance, healthcare, and social media.
3. News articles: The API enables users to search and access news articles from various sources, including newspapers, magazines, and online news portals.
4. Patents: The API provides access to patent data from various sources, including the United States Patent and Trademark Office (USPTO) and the European Patent Office (EPO).
5. Company information: The API allows users to search and access information about companies, including financial data, news articles, and company profiles.
6. Social media data: The API provides access to social media data from various platforms, including Twitter, Facebook, and LinkedIn.
7. Government data: The API enables users to search and access government data from various sources, including the United States Census Bureau and the World Bank.
Overall, Secoda's API provides a comprehensive set of data types that can be used for various applications, including research, analysis, and decision-making.
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey: