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Fast and Flexible Access to Data with Tableau's Google BigQuery (JDBC) Connector

Tableau

Madeleine Corneli Senior Manager, Product Management, Tableau Adiascar Cisneros Manager, Product Management, Tableau Bronwen Boyd April 3, 2023 - 5:27pm April 3, 2023 Google Cloud’s BigQuery is a serverless, highly-scalable cloud-based data warehouse solution that allows users to store, query, and analyze large datasets quickly.

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Domopalooza Revisited: 4 Data Agility Sessions That Deliver

Domo

During this session, Jonathan Tremblay from Gretrix and John Ament from Trimble provided tips and tricks for establishing a robust data architecture, discussed how to handle high-bandwidth data integration, and revealed what a more agile setup can do for a big business, especially.

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Fast and Flexible Access to Data with Tableau's Google BigQuery (JDBC) Connector

Tableau

Madeleine Corneli Senior Manager, Product Management, Tableau Adiascar Cisneros Manager, Product Management, Tableau Bronwen Boyd April 3, 2023 - 5:27pm April 3, 2023 Google Cloud’s BigQuery is a serverless, highly-scalable cloud-based data warehouse solution that allows users to store, query, and analyze large datasets quickly.

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Data fabric’s value to the enterprise

Tableau

VP, Product Management, Tableau. When you work in IT, you see first hand how the increasing business appetite for data stresses existing systems—and even in-flight digital transformations. Connector library for accessing databases and applications outside of Tableau regardless of the data source (data warehouse, CRM, etc.)

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Data fabric’s value to the enterprise

Tableau

VP, Product Management, Tableau. When you work in IT, you see first hand how the increasing business appetite for data stresses existing systems—and even in-flight digital transformations. Connector library for accessing databases and applications outside of Tableau regardless of the data source (data warehouse, CRM, etc.)

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Analyze Data Faster with Google Cloud’s BigQuery Storage API

Sisense

In addition, this data lives in so many places that it can be hard to derive meaningful insights from it all. This is where analytics and data platforms come in: these systems, especially cloud-native Sisense, pull in data from wherever it’s stored ( Google BigQuery data warehouse , Snowflake , Redshift , etc.).

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Answers to Common Questions About Sisense for Cloud Data Teams

Sisense

This new vision for translating insights to action is at the core of the Sisense’s understanding of the data and analytics process. Another part of this vision is a move to build tools specifically for teams that run analytics on cloud data warehouses. How does Sisense for Data Teams affect the analysis workflow?

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