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 Microsoft Dataverse as a source connector (using Auth, or usually an API key)
- set up S3 Glue 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 Microsoft Dataverse
Microsoft Dataverse provides access to the org-based database on Microsoft Dataverse in the current environment This connector was anciently known as Common Data Service. Microsoft Dataverse is one kind of data storage and management engine serving as a foundation for Microsoft’s Power Platform, Office 365, and Dynamics 365 apps. It can easily decouple the data from the application, permitting an administrator to analyze from every possible angle and report on data previously existing in different locations.
What is S3 Glue
S3 Glue is a server less, salable data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning, and application development. It provides all the capabilities required for data integration, so you can get insights and put your data to use in minutes instead of months. With S3 Glue, there is no infrastructure to set up or manage. You can pay only for the resources consumed while your jobs are continuing.
Prerequisites
- A Microsoft Dataverse account to transfer your customer data automatically from.
- A S3 Glue 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 Microsoft Dataverse and S3 Glue, for seamless data migration.
When using Airbyte to move data from Microsoft Dataverse to S3 Glue, it extracts data from Microsoft Dataverse using the source connector, converts it into a format S3 Glue can ingest using the provided schema, and then loads it into S3 Glue via the destination connector. This allows businesses to leverage their Microsoft Dataverse data for advanced analytics and insights within S3 Glue, simplifying the ETL process and saving significant time and resources.
Step 1: Set up Microsoft Dataverse as a source connector
1. Open the Airbyte platform and navigate to the "Sources" tab on the left-hand side of the screen.
2. Click on the "Microsoft Dataverse" source connector and select "Create New Connection".
3. Enter a name for the connection and click "Next".
4. In the "Authentication" section, select "OAuth2" as the authentication method.
5. Click on the "Configure OAuth2" button and enter the required credentials for your Microsoft Dataverse account.
6. Once the credentials have been entered, click "Authorize" to allow Airbyte to access your Microsoft Dataverse data.
7. Select the entities you want to replicate and configure any additional settings, such as the replication frequency and data mapping.
8. Click "Test" to ensure that the connection is working properly.
9. If the test is successful, click "Create Connection" to save the connection and begin replicating data from Microsoft Dataverse to Airbyte.
Step 2: Set up S3 Glue as a destination connector
1. Log in to your Airbyte account and navigate to the "Destinations" tab.
2. Click on "Add Destination" and select "S3 Glue" from the list of available connectors.
3. Enter your AWS access key ID and secret access key in the appropriate fields.
4. Select the AWS region where you want to store your data.
5. Enter the name of the S3 bucket where you want to store your data.
6. Choose the format in which you want to store your data (e.g. CSV, JSON, Parquet).
7. Enter the prefix for your data files (e.g. "mydata/").
8. Choose whether you want to compress your data files (e.g. Gzip).
9. Click on "Test Connection" to ensure that Airbyte can connect to your S3 Glue destination.
10. If the connection is successful, click on "Save" to save your S3 Glue destination configuration.
Step 3: Set up a connection to sync your Microsoft Dataverse data to S3 Glue
Once you've successfully connected Microsoft Dataverse as a data source and S3 Glue 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 Microsoft Dataverse from the dropdown list of your configured sources.
- Select your destination: Choose S3 Glue 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 Microsoft Dataverse objects you want to import data from towards S3 Glue. 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 Microsoft Dataverse to S3 Glue according to your settings.
Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your S3 Glue data warehouse is always up-to-date with your Microsoft Dataverse data.
Use Cases to transfer your Microsoft Dataverse data to S3 Glue
Integrating data from Microsoft Dataverse to S3 Glue provides several benefits. Here are a few use cases:
- Advanced Analytics: S3 Glue’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Microsoft Dataverse data, extracting insights that wouldn't be possible within Microsoft Dataverse alone.
- Data Consolidation: If you're using multiple other sources along with Microsoft Dataverse, syncing to S3 Glue 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: Microsoft Dataverse has limits on historical data. Syncing data to S3 Glue allows for long-term data retention and analysis of historical trends over time.
- Data Security and Compliance: S3 Glue provides robust data security features. Syncing Microsoft Dataverse data to S3 Glue ensures your data is secured and allows for advanced data governance and compliance management.
- Scalability: S3 Glue can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Microsoft Dataverse data.
- Data Science and Machine Learning: By having Microsoft Dataverse data in S3 Glue, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
- Reporting and Visualization: While Microsoft Dataverse provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to S3 Glue, providing more advanced business intelligence options. If you have a Microsoft Dataverse table that needs to be converted to a S3 Glue table, Airbyte can do that automatically.
Wrapping Up
To summarize, this tutorial has shown you how to:
- Configure a Microsoft Dataverse account as an Airbyte data source connector.
- Configure S3 Glue as a data destination connector.
- Create an Airbyte data pipeline that will automatically be moving data directly from Microsoft Dataverse to S3 Glue 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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