Data scientists today face a perfect storm: an explosion of inconsistent, unstructured, multimodal data scattered across silos – and mounting pressure to turn it into accessible, AI-ready ...

The data consumers can rely on a single standardized set of data, provided through both streams and tables, to power their operations, analytics, and everything in between. We create the headless ...

Examples of data you might want to include in your warehouse include: Digital data, such as page views, users and visits (from Google, Adobe Analytics, etc.) CRM data (from Salesforce, Marketo, etc.) ...

Traditional architecture and technologies and newer big data approaches each offer advantages. In a session at Data Summit 2019, titled “Designing a Data Architecture for Modern Business Intelligence ...

In today’s data landscape, a distributed architecture is driven by the need for real-time insights, compliance, and the scalability provided by cloud computing, with organizations increasingly ...