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Meet Delta Sharing: Access more data with secure, open source data sharing

Tableau

VP Product Management and Data, Tableau. May 25, 2021 - 11:46pm. May 26, 2021. If we’ve learned anything in the past year, it’s how much our progress hinges on the ability to share and collaborate around data. . Work with any data warehouse or data platform that supports Parquet.

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Meet Delta Sharing: Access more data with secure, open source data sharing

Tableau

VP Product Management and Data, Tableau. May 25, 2021 - 11:46pm. May 26, 2021. If we’ve learned anything in the past year, it’s how much our progress hinges on the ability to share and collaborate around data. . Work with any data warehouse or data platform that supports Parquet.

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A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

Data Pine

billion by the end of 2021. Despite these findings, the undeniable value of intelligence for business, and the incredible demand for BI skills, there is a severe shortage of BI-based data professionals – with a shortfall of 1.5 Visualizations are the best tools to make trends and general insights understandable.

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Domopalooza Revisited: 4 Data Agility Sessions That Deliver

Domo

If you attended Domopalooza 2021 or have read anything about it, then you know that data agility is one of the three principles that not only form the foundation of Domo but enable modern BI for all. But what exactly is data agility? Or, you can keep reading for summaries of the four most-viewed to date.

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Spotlight on Sisense Notebooks: A New Code-First Approach to Analytics

Sisense

In our latest Sisense release, we came out with the first iteration of Notebooks, a new way to perform ad hoc analysis on disparate datasets, develop powerful charts that tell your data’s story, and provide users with a single platform for both in-depth analysis and BI that preserves data security and integrity.

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What Is Embedded Analytics?

Insight Software

This is in contrast to traditional BI, which extracts insight from data outside of the app. We rely on increasingly mobile technology to comb through massive amounts of data and solve high-value problems. Plus, there is an expectation that tools be visually appealing to boot. Their dashboards were visually stunning.