Tag Archive for unstructured data

(Unstructured) Big Data: Context is King

Brian Bell

by Bryan Bell Structured and unstructured content require a separate approach to manage and extract business value. The large amounts of structured data requires a high performance computing solution. The unstructured data requires a solution with a similar ability to scale, but for the solution to be effective, it must possess a unique ability to…

Five of the Biggest Big Data Myths

The Myth

by Angela Guess Toby Wolpe of ZDNet recently wrote, “Some people see the term ‘big data’ as just broad-brush marketing coated with hype. But even those taking the big-data concept at face value need to overcome certain misconceptions. Gartner thinks the hype can make it harder to choose the right course of action in this…

Healthline Launches New HealthData Engine

Jasmine Pennic of HIT Consultant reports, “Healthline, provider of intelligent health information and technology solutions, today launched its HealthData Engine to harness the power of structured and unstructured data to improve outcomes and reduce costs.”

The Barriers to Unstructured Data Governance

Open Calais Content Maps

by Angela Guess Jack Vaughan of Search Data Management recently interviewed industry vet Anne Marie Smith regarding unstructured data and the possibilities of unstructured data governance. Smith told Vaughan, “If you think of a Word document that’s stored electronically, that’s unstructured data. If you think of email, that’s unstructured data. The recording that you’re making…

SPARQL And NoSQL: A Match On Many Levels

by Jennifer Zaino Is SPARQL the SQL for NoSQL? The question will be discussed at this month’s Semantic Technology & Business Conference in San Jose by Arthur Keen, vp of solution architecture of startup SPARQL City. It’s not the first time that the industry has considered common database query languages for NoSQL (see this story at…

Where The Money Is: Data Science

by Jennifer Zaino What’s a data scientist worth? Give me a second to identify the relevant data sources, build the machine learning algorithm and create a visualization. So much for a new take on an old joke. The real answer is about six figures, information I recently came across in a report released earlier this…