Analytics Augmented Analytics Cloud Data 
Dataconomy
SEPTEMBER 4, 2023
The modern corporate world is more data-driven, and companies are always looking for new methods to make use of the vast data at their disposal. Cloud analytics is one example of a new technology that has changed the game. What is cloud analytics? How does cloud analytics work?
Dataversity
JUNE 22, 2021
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 […].
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Tableau
JUNE 8, 2021
The division between data lakes and data warehouses is stifling innovation. Nearly three-quarters of the organizations surveyed in the previously mentioned Databricks study split their cloud data landscape into two layers: a data lake and a data warehouse. . Real-time streaming and batch data.
Tableau
MAY 27, 2021
brings new and improved ways to interact with your data to ensure everyone across your organization can ask meaningful questions and get valuable answers from their data. Upgrade now to take advantage of these new innovations, and get the most from your data with our latest augmented analytics features.
Tableau
JUNE 8, 2021
The division between data lakes and data warehouses is stifling innovation. Nearly three-quarters of the organizations surveyed in the previously mentioned Databricks study split their cloud data landscape into two layers: a data lake and a data warehouse. . Real-time streaming and batch data.
Tableau
MAY 27, 2021
brings new and improved ways to interact with your data to ensure everyone across your organization can ask meaningful questions and get valuable answers from their data. Upgrade now to take advantage of these new innovations, and get the most from your data with our latest augmented analytics features.
Alation
AUGUST 26, 2021
Why keep data at all? Answering these questions can improve operational efficiencies and inform a number of data intelligence use cases, which include data governance, self-service analytics, and more. Data Intelligence: Origin, Evolution, Use Cases. Examples of Data Intelligence use cases include: Data governance.
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