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Big Data: Trend Toward Cloud-Native Self-Service Big Data Platforms

By Dick Weisinger

Of 400 IT and data professionals recently surveyed by Qubole about how they are using Big Data, 40 percent work in organizations that exceed 100 terabytes. Those organizations clearly can be classified as handling Big Data. Highlights of Qubole’s report on

Big Data: Problem Data Skews Predictions

By Dick Weisinger

Despite increasingly sophisticated algorithms, long-term and even short-term forecasting still often come up short and often miss the mark by wide margins.  Why is that?  Cleaning data and identifying which data is most important are key. Pew Research commented following

Digital Twins: Data Models for Non-destructively Simulating Objects and Systems

By Dick Weisinger

As both software and hardware technologies advance, so does our ability to model and simulate the world around us digitally.  Digital twins pair a computer simulation of a physical object with an actual object or system.  Computer simulation is nondestructive

Big Data: Successes Shine Bright, but the Technology is Littered with Failures

By Dick Weisinger

In 2011, McKinsey predicted that “Big data will become a key basis of competition, underpinning new waves of productivity growth, innovation, and consumer surplus—as long as the right policies and enablers are in place.”  It wasn’t just McKinsey that saw

Business Intelligence: Big Data Analysis Needs to be Complemented by Thick Data

By Dick Weisinger

Big Data’s premise is that once huge amounts of data are collected, it’s possible to notice trends and patterns, and those patterns in turn lead to conclusions and predictions about future trends. Big Data’s focus is algorithmic and sterile.  The