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ThoughtSpot is a cloud-based analytics platform that uses artificial intelligence (AI) and natural language processing (NLP) to help users analyze data and make decisions. When paired with CData Connect AI, you get instant, cloud-to-cloud access to Databricks data for visualizations, dashboards, and more. This article shows how to connect to Databricks and build visualizations from Databricks data in ThoughtSpot.
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.
CData Connect AI provides a pure SQL Server, cloud-to-cloud interface for Databricks, allowing you to easily build models and visualizations from live Databricks data in ThoughtSpot. As you build visualizations, ThoughtSpot generates SQL queries to gather data. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc) directly to Databricks, leveraging server-side processing to quickly return Databricks data.
Connectivity to Databricks from ThoughtSpot is made possible through CData Connect AI. To work with Databricks data from ThoughtSpot, 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.
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 Databricks data from ThoughtSpot.
To establish a connection from ThoughtSpot to the CData Connect AI Virtual SQL Server API, follow these steps.
After you successfully configure your connection, you can build models, search, and visualize your Databricks data.
At this point, you have a direct, cloud-to-cloud connection to live Databricks data from ThoughtSpot. You can model, search, and visualize your data from ThoughtSpot . For more information on gaining live access to data from more than 100 SaaS, Big Data, and NoSQL sources from cloud applications like ThoughtSpot, refer to our Connect AI page.
Learn more about CData Connect AI or sign up for free trial access:
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