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Power Query is a data transformation and data preparation engine. When paired with CData Connect AI, you get instant, cloud-to-cloud access to MongoDB data from Power Query. This article shows how to connect to Connect AI from Power Query through Microsoft Excel and get live access to MongoDB data for transformation and preparation.
CData Connect AI provides a pure SQL, cloud-to-cloud interface for MongoDB, allowing you to easily integrate with live MongoDB data in Power Query β without replicating the data. CData Connect AI looks exactly like a SQL Server database to Power Query and uses optimized data processing out of the box to push all supported SQL operations (filters, JOINs, etc) directly to MongoDB, leveraging server-side processing to quickly return MongoDB data.
Accessing and integrating live data from MongoDB has never been easier with CData. Customers rely on CData connectivity to:
MongoDB's flexibility means that it can be used as a transactional, operational, or analytical database. That means CData customers use our solutions to integrate their business data with MongoDB or integrate their MongoDB data with their data warehouse (or both). Customers also leverage our live connectivity options to analyze and report on MongoDB directly from their preferred tools, like Power BI and Tableau.
For more details on MongoDB use case and how CData enhances your MongoDB experience, check out our blog post: The Top 10 Real-World MongoDB Use Cases You Should Know in 2024.
Connectivity to MongoDB from Power Query is made possible through CData Connect AI. To work with MongoDB data from Power Query, we start by creating and configuring a MongoDB connection.
Set the Server, Database, User, and Password connection properties to connect to MongoDB. To access MongoDB collections as tables you can use automatic schema discovery or write your own schema definitions. Schemas are defined in .rsd files, which have a simple format. You can also execute free-form queries that are not tied to the schema.
π Configuring a connection (Salesforce is shown)When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.
With the connection configured and a PAT generated, you are ready to connect to MongoDB data from Power Query.
With the connection to Connect AI configured, you are ready to work with live MongoDB data in Power Query.
At this point, you have live access to MongoDB data from Power Query for transformation and preparation.
π Working with data in Power Query (Salesforce is shown)Now you have a direct connection to live MongoDB data from Microsoft Power Query. You can create more connections and transform and preparte your data to better drive business β all without replicating MongoDB data.
To get real-time data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, sign up for a free trial of CData Connect AI.
Learn more about CData Connect AI or sign up for free trial access:
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