A Brief History of Data Lakes

Data Lakes are consolidated, centralized storage areas for raw, unstructured, semi-structured, and structured data, taken from multiple sources and lacking a predefined schema. Data Lakes have been created to save data that “may have value.” The value of data and the insights that can be gained from it are unknowns and can vary with the […]

Using Predictive Analytics

Can Predictive Analytics combined with lean principles have an impact on today’s strained healthcare system? LeanTaaS believes that they can by significantly improving asset utilization at hospitals and clinics across the country. “The reality is that health systems are facing enormous headwinds regarding growing volumes,” says company founder and CEO Mohan Giridharadas. There is a […]

So You Want to be a Data Engineer?

The work of Data Engineers is extremely technical. They are responsible for designing and maintaining  the architecture of data systems, which incorporates concepts ranging from analytic infrastructures to Data Warehouses. Data Engineers need to have a solid understanding of commonly used scripting languages and are expected to support the steady evolution of improved Data Quality, […]

Analytics vs. Data Discovery

Newer and faster data channels are enveloping the digital business landscape, so business operators and users are becoming more demanding about what they want from their data. Now, the traditional Business Intelligence (BI) platforms are no longer sufficient to address all types of business queries; users are increasingly looking toward the Data Discovery capabilities of […]

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