The Certificate in Cloud Data Analytics defines a pathway in which students develop core skills in cloud computing, data mining, and analytics. It prepares students to design, develop, deploy, and ...

The Cloud Integration Gap Traditional ETL (extract, transform, load) approaches have long been used to extract platform data into data warehouses. However, they suffer from several limitations in ...

With its new Business Data Cloud, SAP wants to help enterprises unify data held in its own systems with that in other vendors’ applications: It’s goal is to expedite advanced analytics and AI ...

As organizations accelerate digital transformation, data is no longer viewed as a byproduct—it’s the backbone of strategic decision-making. With growing volumes of structured and unstructured data, ...

Making good on the concept that “AI is the new BI,” data analytics software provider ThoughtSpot has expanded the capabilities of its Spotter AI agentic analytics offering with new deep ...

App Orchid claims its technology can reduce data preparation time by up to 85% compared to traditional methods. AI agents and predictive analytics: What’s next for enterprise data ...

Tasked with developing cutting-edge application to address the latest challenges in healthcare and sports, the University of Pittsburgh Health Sciences and Sports Analytics Cloud Innovation Center ...