Volume, velocity and variety characteristics of information assets are not three parts of Gartner’s definition of big data, it is part one, and oftentimes, misunderstood. Most people only retain about ...

These are not “nice-to-haves”; they are prerequisites for distributed cognition, operating at machine speed. As Tatipamula and Cerf point out, the network can no longer simply host intelligence. It ...

Extracting Meaning From Data Tools that persist unstructured data simply store that content without fuss. These same tools do not provide users with the data’s meaning. It is not that the meaning ...

Socrates is noted as saying, “The beginning of wisdom is the definition of terms.” This premise should dominate how mission-oriented organizations communicate with the rest of the world, but it’s ...

Yesterday I got an email from UC Berkeley’s Master of Information and Data Science program, asking me to respond to a survey of data science thought leaders, asking the question “What is big data”? I ...

Mike Chapple is associate teaching professor of IT, analytics and operations at the University of Notre Dame. The emergence of business intelligence and data warehousing initiatives has placed ...

The fundamental data structure in a data processing system. Any unit of data defined for processing is a data element; for example, ACCOUNT NUMBER, NAME, ADDRESS and CITY. A data element is defined by ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Types of customer data platforms Must-have ...

Yes, you read correctly. “Data” and “minimization,” two words that have rarely been used in the same sentence, now represent one of the critical product design rules we must apply if we’re to build ...