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Microsoft Excel for the web represents a cloud-native iteration of Microsoft Excel. When integrated with CData Connect AI, you gain immediate access to Databricks data directly from within Excel. This access facilitates data analysis, collaborative work, calculations, and more. This article provides a step-by-step guide on connecting to Databricks within your Connect AI instance and accessing live Databricks data in Excel for the web spreadsheets, whether for viewing or updating purposes.
CData Connect AI provides a pure cloud-to-cloud interface for Databricks, allowing you to easily access live Databricks 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 Databricks, leveraging server-side processing to quickly return Databricks data.
Accessing and integrating live data from Databricks has never been easier with CData. Customers rely on CData connectivity to:
While many customers are using CData's solutions to migrate data from different systems into their Databricks data lakehouse, several customers use our live connectivity solutions to federate connectivity between their databases and Databricks. These customers are using SQL Server Linked Servers or Polybase to get live access to Databricks from within their existing RDBMs.
Read more about common Databricks use-cases and how CData's solutions help solve data problems in our blog: What is Databricks Used For? 6 Use Cases.
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 Databricks from Excel is made possible through CData Connect AI. To work with Databricks data from Excel, we start by creating and configuring a Databricks connection.
To connect to a Databricks cluster, set the properties as described below.
Note: The needed values can be found in your Databricks instance by navigating to Clusters, and selecting the desired cluster, and selecting the JDBC/ODBC tab under Advanced Options.
With the connection configured, you are ready to connect to Databricks data from Excel for the web.
The steps below outline connecting to CData Connect AI from Excel to access live Databricks data.
In addition to viewing Databricks data in Excel, CData Connect AI also lets you update and delete Databricks data. Begin by importing data (as described above).
A notification will appear when the update is complete
New, you have a direct, cloud-to-cloud connection to live Databricks 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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