Convex is a server less infrastructure company that has built the worldwide state management platform for web developers. Our mission is to basically change how software is formed on the Internet and who gets to form it. We aim to empower teams, large or small, to build fast, reliable, and dependable dynamic systems at scale. Convex has a great vision for the future so that developers can focus on building application code and leverage that remove the need for thinking about storage, execution, sync, queuing, or workflow.
BigQuery is an enterprise data warehouse that draws on the processing power of Google Cloud Storage to enable fast processing of SQL queries through massive datasets. BigQuery helps businesses select the most appropriate software provider to assemble their data, based on the platforms the business uses. Once a business’ data is acculumated, it is moved into BigQuery. The company controls access to the data, but BigQuery stores and processes it for greater speed and convenience.
1. First, navigate to the Convex.dev website and log in to your account.
2. Once logged in, click on the "Sources" tab on the left-hand side of the screen.
3. Scroll down until you find the "Airbyte" source connector and click on it.
4. You will be prompted to enter your Airbyte API URL, username, and password. Enter this information and click "Test Connection" to ensure that the credentials are correct.
5. If the connection is successful, click "Save" to add the Airbyte source connector to your list of sources in Convex.dev.
6. Next, navigate to your Airbyte dashboard and click on "Connections" on the left-hand side of the screen.
7. Click "New Connection" and select the Convex.dev source connector from the list of available sources.
8. Enter any necessary configuration details for the connection, such as the source schema and table names.
9. Once the configuration is complete, click "Create Connection" to establish the connection between Airbyte and Convex.dev.
10. You can now use the data from your Airbyte sources in Convex.dev for analysis and visualization.
1. First, navigate to the Airbyte dashboard and select the "Destinations" tab on the left-hand side of the screen.
2. Scroll down until you find the "BigQuery" destination connector and click on it.
3. Click the "Create Destination" button to begin setting up your BigQuery destination.
4. Enter your Google Cloud Platform project ID and service account credentials in the appropriate fields.
5. Next, select the dataset you want to use for your destination and enter the table prefix you want to use.
6. Choose the schema mapping for your data, which will determine how your data is organized in BigQuery.
7. Finally, review your settings and click the "Create Destination" button to complete the setup process.
8. Once your destination is created, you can begin configuring your source connectors to start syncing data to BigQuery.
9. To do this, navigate to the "Sources" tab on the left-hand side of the screen and select the source connector you want to use.
10. Follow the prompts to enter your source credentials and configure your sync settings.
11. When you reach the "Destination" step, select your BigQuery destination from the dropdown menu and choose the dataset and table prefix you want to use.
12. Review your settings and click the "Create Connection" button to start syncing data from your source to your BigQuery 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:
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Frequently Asked Questions
Convex.dev's API provides access to a wide range of data related to the cryptocurrency market. The following are the categories of data that can be accessed through the API:
1. Market data: This includes real-time and historical data on cryptocurrency prices, trading volumes, market capitalization, and other market indicators.
2. Blockchain data: This includes data on transactions, blocks, and addresses on various blockchain networks.
3. Exchange data: This includes data on trading pairs, order books, and trading volumes on various cryptocurrency exchanges.
4. News data: This includes real-time news articles and updates related to the cryptocurrency market.
5. Social media data: This includes data on social media sentiment and activity related to various cryptocurrencies.
6. Technical analysis data: This includes data on technical indicators, chart patterns, and other technical analysis tools used by traders.
7. Fundamental analysis data: This includes data on the underlying fundamentals of various cryptocurrencies, such as their technology, adoption, and use cases.
Overall, Convex.dev's API provides a comprehensive set of data that can be used by traders, investors, and researchers to gain insights into the cryptocurrency market.