Remove Data Warehouse Remove Information Remove User Experience
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4 Ways To Boost Looker Performance in Data-Centric Companies

Smart Data Collective

How companies gather, manage and control data has undeniably become one of the most important aspects of business success today. It’s also possible to employ extra caching or materialized views in the data warehouse in addition to caching in Looker (depending on the capability of your data warehouse). Final word.

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Modern Data Warehouse: Why Should You Migrate?

Astera

D ata is the lifeblood of informed decision-making, and a modern data warehouse is its beating heart, where insights are born. In this blog, we will discuss everything about a modern data warehouse including why you should invest in one and how you can migrate your traditional infrastructure to a modern data warehouse.

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How does Tableau power Salesforce Genie Customer Data Cloud?

Tableau

Traditionally, organizations built complex data pipelines to replicate data. Those data architectures were brittle, complex, and time intensive to build and maintain, requiring data duplication and bloated data warehouse investments. Natively connect to trusted, unified customer data.

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How does Tableau power Salesforce Genie Customer Data Cloud?

Tableau

Traditionally, organizations built complex data pipelines to replicate data. Those data architectures were brittle, complex, and time intensive to build and maintain, requiring data duplication and bloated data warehouse investments. Natively connect to trusted, unified customer data.

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Snow Everything About Your Warehouse

Sisense

Our first use case answers one of the most common questions that people have for their warehouse: what’s in here and how much space is it taking up? Snowflake provides this information in the STORAGE_USAGE tables. How is my user experience? where query_type = 'SELECT'. How much am I paying?

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Where Dark Data Lives and How to Mine It for Business Gain

Domo

Gartner defines it as such: “The information assets that organizations collect, process, and store during regular business activities but generally fail to use for other purposes.” ” Here’s a shortlist of dark data and the common places it lives: Documents. Data repositories. Mine dark data for business value.

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3 Ways Data Engineers Can Deal with Enterprise Data Pipelines

Sisense

You need to find the right data sets, clean them up, and test out interoperability. But you also need to deliver comprehensible insights, make changes on the fly, and continue to deliver the most up-to-date information from the latest data available. Enterprise companies usually have legacy systems that contain important data.