5 Common Myths Around Virtualizing Big Data

Big data burst on to the scene a little over a decade ago. Today it is not an obscure term confined to just a handful of bleeding edge companies. It is a mainstream trend that every enterprise undergoing a digital transformation journey has adopted. The technology landscape around big data has broadened dramatically; in the early days it meant Apache

Analyst, Scientist, or Specialist? Choosing Your Data Job Title

There’s a world of job opportunities in data, big data, data analytics, and the business improvement they can bring. A prediction for the United States in 2018 from the McKinsey Global Institute showed a shortfall of deep analytic skills in the amount of more than 140,000 people, not to mention the 1.5 million people needed with the ability to interpret

Anatomy of a Hadoop Project Failure

Several years ago, the educational technology company Blackboard selected Apache Hadoop to run a new data analytics application designed to turn data exhaust into actionable insight. Months later, the failed project was cancelled, and Blackboard implemented a hosted relational data warehousing product instead. The reasons behind Blackboard‘s initial selection of Hadoop for this project will sound familiar: a desire to