- Assessing mixed data (structured and unstructured) from multiple sources
- Dealing with unpredictable content with no apparent schema or structure
- Enabling real-time or near-real-time collection, analysis, and answers
Big Data technologies describe a new generation of technologies and architectures, designed to economically extract value from very large volumes of a wide variety of data, by enabling high-velocity capture, discovery, and/or analysis.
Big data spans three dimensions: Volume, Velocity and Variety.
- Volume – Big data comes in one size: large. Enterprises are awash with data, easily amassing terabytes and even petabytes of information.
- Velocity – Often time-sensitive, big data must be used as it is streaming in to the enterprise in order to maximize its value to the business.
- Variety – Big data extends beyond structured data, including unstructured data of all varieties: text, audio, video, click streams, log files and more.
Big data is more than a challenge; it is an opportunity to find insight in new and emerging types of data, to make your business more agile, and to answer questions that, in the past, were beyond reach. Until now, there was no practical way to harvest this opportunity.