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Microsoft Excel is a widely used spreadsheet software application, primarily used for tasks related to data management, analysis, and visualization. When combined with CData Connect AI, you gain immediate access to Airtable data directly within Excel, facilitating data analysis, collaboration, calculations, and more.This article shows how to connect to Airtable in your Connect AI instance and access and update live Airtable data in Excel spreadsheets.
CData Connect AI provides a pure cloud-to-cloud interface for Airtable, allowing you to easily access live Airtable data in Excel for the web. Simply use the Connect AI Add-In to query live data (or write your own). Using optimized data processing out of the box, CData Connect AI pushes all supported query operations (filters, JOINs, etc) directly to Airtable, leveraging server-side processing to quickly return Airtable data.
This setup requires a CData Connect AI instance and the CData Connect AI Add-In for Excel. To get started, sign up a free trial of Connect AI and install the free Connect AI Excel Add-In.
Connectivity to Airtable from Excel is made possible through CData Connect AI. To work with Airtable data from Excel, we start by creating and configuring a Airtable connection.
APIKey, BaseId and TableNames parameters are required to connect to Airtable. ViewNames is an optional parameter where views of the tables may be specified.
With the connection configured, you are ready to connect to Airtable data from Excel.
The steps below outline connecting to CData Connect AI from Excel to access live Airtable data.
In addition to viewing Airtable data in Excel, CData Connect AI also lets you update and delete Airtable data. Begin by importing data (as described above).
Now, you have a direct, cloud-to-cloud connection to live Airtable data from your Excel workbook. You can add more data to your workbook for calculations, aggregations, collaboration, and more.
π Imported data (Salesforce is shown)Try CData Connect AI and get real-time data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications.
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