TL;DR
This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps:
- set up DynamoDB as a source connector (using Auth, or usually an API key)
- set up Convex as a destination connector
- define which data you want to transfer and how frequently
You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.
This tutorial’s purpose is to show you how.
What is DynamoDB
Amazon DynamoDB is a fully managed proprietary NoSQL database service that supports key–value and document data structures and is offered by Amazon.com as part of the Amazon Web Services portfolio. DynamoDB exposes a similar data model to and derives its name from Dynamo, but has a different underlying implementation.
What is Convex
Convex is a platform that provides a suite of tools for building and deploying machine learning models. It offers a user-friendly interface for data scientists and developers to create and train models, as well as a scalable infrastructure for deploying them in production. Convex also includes features such as automated model tuning, version control, and collaboration tools to streamline the machine learning workflow. The platform is designed to be flexible and customizable, allowing users to integrate their own libraries and frameworks. Overall, Convex aims to simplify the process of building and deploying machine learning models, making it accessible to a wider range of users.
Prerequisites
- A DynamoDB account to transfer your customer data automatically from.
- A Convex account.
- An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.
Airbyte is an open-source data integration platform that consolidates and streamlines the process of extracting and loading data from multiple data sources to data warehouses. It offers pre-built connectors, including DynamoDB and Convex, for seamless data migration.
When using Airbyte to move data from DynamoDB to Convex, it extracts data from DynamoDB using the source connector, converts it into a format Convex can ingest using the provided schema, and then loads it into Convex via the destination connector. This allows businesses to leverage their DynamoDB data for advanced analytics and insights within Convex, simplifying the ETL process and saving significant time and resources.
Step 1: Set up DynamoDB as a source connector
Step 2: Set up Convex as a destination connector
1. First, navigate to the Airbyte website and log in to your account.
2. Once you are logged in, click on the "Destinations" tab on the left-hand side of the screen.
3. From there, click on the "Add Destination" button in the top right corner of the screen.
4. In the search bar, type "Convex" and select the Convex destination connector from the list of options.
5. Next, you will need to enter your Convex API key. This can be found in your Convex account settings.
6. Once you have entered your API key, click on the "Test" button to ensure that the connection is working properly.
7. If the test is successful, click on the "Save" button to save your settings.
8. You can now use the Convex destination connector to transfer data from Airbyte to your Convex account.
Step 3: Set up a connection to sync your DynamoDB data to Convex
Once you've successfully connected DynamoDB as a data source and Convex as a destination in Airbyte, you can set up a data pipeline between them with the following steps:
- Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
- Choose your source: Select DynamoDB from the dropdown list of your configured sources.
- Select your destination: Choose Convex from the dropdown list of your configured destinations.
- Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
- Select the data to sync: Choose the specific DynamoDB objects you want to import data from towards Convex. You can sync all data or select specific tables and fields.
- Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
- Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
- Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from DynamoDB to Convex according to your settings.
Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Convex data warehouse is always up-to-date with your DynamoDB data.
Use Cases to transfer your DynamoDB data to Convex
Integrating data from DynamoDB to Convex provides several benefits. Here are a few use cases:
- Advanced Analytics: Convex’s powerful data processing capabilities enable you to perform complex queries and data analysis on your DynamoDB data, extracting insights that wouldn't be possible within DynamoDB alone.
- Data Consolidation: If you're using multiple other sources along with DynamoDB, syncing to Convex allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
- Historical Data Analysis: DynamoDB has limits on historical data. Syncing data to Convex allows for long-term data retention and analysis of historical trends over time.
- Data Security and Compliance: Convex provides robust data security features. Syncing DynamoDB data to Convex ensures your data is secured and allows for advanced data governance and compliance management.
- Scalability: Convex can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding DynamoDB data.
- Data Science and Machine Learning: By having DynamoDB data in Convex, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
- Reporting and Visualization: While DynamoDB provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Convex, providing more advanced business intelligence options. If you have a DynamoDB table that needs to be converted to a Convex table, Airbyte can do that automatically.
Wrapping Up
To summarize, this tutorial has shown you how to:
- Configure a DynamoDB account as an Airbyte data source connector.
- Configure Convex as a data destination connector.
- Create an Airbyte data pipeline that will automatically be moving data directly from DynamoDB to Convex after you set a schedule
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!
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