Word of the Day: 3Vs (volume, variety and velocity)

Word of the Day Daily updates on the latest technology terms | October 18, 2018 3Vs (volume, variety and velocity) 3Vs (volume, variety and velocity) are three defining properties or dimensions of big data. Volume refers to the amount of data, variety refers to the number of types of data and velocity refers to the speed of data processing. According to the 3Vs model, the challenges of big data management result from the expansion of all three properties, rather than just the volume alone -- the sheer amount of data to be managed. Gartner analyst Doug Laney introduced the 3Vs concept in a 2001 MetaGroup research publication, 3D data management: Controlling data volume, variety and velocity. More recently, additional Vs have been proposed for addition to the model, including variability -- the increase in the range of values typical of a large data set -- and value, which addresses the need for valuation of enterprise data. The infographic below (reproduced with permission from Diya Soubra's post, The 3Vs that define Big Data, on Data Science Central) illustrates the increasing expansion of the 3Vs. Quote of the Day "Industry experts typically classify big data using the 3Vs model: volume, variety and velocity. This categorization holds up whether your business handles enterprise applications with large data sets or whether it's a consumer-facing startup with tens of thousands of users for your social app." - Twain Taylor Trending Terms big data management big data analytics small data IoT analytics enterprise data hub SnapLogic Learning Center 3 ways to prep microservices applications for big data Big data management is a complex task, especially with distributed microservices applications. But by thinking carefully about database structuring and management, application management teams can get a handle on that task. Beat the challenges of predictive analytics in big data systems Doing predictive analytics in big data environments creates a unique set of challenges, but also presents opportunities to those who are ready to handle them. Big data trends: What enterprise architects need to prepare for Progress Software's Jesse Davis says now that the notorious 3Vs have been tended to, big data trends include moving toward inquiry, insight and innovation. Big data analytics: New patterns emerge for security Will big data and predictive analytics really make security better? With data scientists in short supply, solution providers work on big data analytics tools for enterprise users. Cloud-based applications must deal with quirks of big data Developers need to add veracity to volume, velocity and variety (the 3Vs of big data) when creating cloud-based applications. All four factors are crucial for business agility. Quiz Yourself Information extraction is a process intended to pull meaningful data from noisy text without making _________ changes in the author`s intended meaning. a. substantial b. substantive Answer Stay in Touch For feedback about any of our definitions or to suggest a new definition, please contact me at: mrouse@techtarget.com Visit the Word of the Day Archives and catch up on what you've missed! FOLLOW US About This E-Newsletter This e-newsletter is published by the TechTarget network. To unsubscribe from Whatis.com, click here. Please note, this will not affect any other subscriptions you have signed up for. TechTarget, Whatis, 275 Grove Street, Newton, MA 02466. Contact: webmaster@techtarget.com Copyright 2018 TechTarget. All rights reserved.