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How Databricks and Tableau customers are fueling innovation with data lakehouse architecture

Tableau

In many of the conversations we have with IT and business leaders, there is a sense of frustration about the speed of time-to-value for big data and data science projects. We often hear that organizations have invested in data science capabilities but are struggling to operationalize their machine learning models.

Tableau 102
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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

Leveraging third-party data : Incorporating external data sources, such as weather, social media trends, and market reports, enriches your analysis, providing a more comprehensive understanding of customer behavior and market dynamics. AI and augmented analytics assist users in navigating complex data sets, offering valuable insights.

Analytics 203
professionals

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How Databricks and Tableau customers are fueling innovation with data lakehouse architecture

Tableau

In many of the conversations we have with IT and business leaders, there is a sense of frustration about the speed of time-to-value for big data and data science projects. We often hear that organizations have invested in data science capabilities but are struggling to operationalize their machine learning models.

Tableau 52
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Four Reasons SaaS Analytics Is Exploding

Dataversity

Shifting to the cloud helped countless businesses keep the lights on in 2020, as widespread disruption gave them the means and motive to fully embrace Software-as-a-Service (SaaS) across their business. Cloud services are now serving as the foundation for how enterprises adopt products and services, including analytics […].