Big Data definition
Big Data means very large and complex quantities of datasets that are difficult to process using traditional data processing applications;
Big Data means large amounts of structured or unstructured data that are so large and complex that traditional data processing is inadequate to deal with it.
Big Data means more bandwidth: Handling today’s mega datasets requires massive parallel processing that is fueling a constant demand for additional capacity and any-to-any connectivity.
Examples of Big Data in a sentence
Algernon - PhD in Computer Science and Big Data, architect, database expert, exchange building technology expert, long-time database application, data warehouse, big data and blockchain development in the trading industry, with rich experience in blockchain project development.
Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available.
Big Data Solutions Architect will be responsible for managing full life-cycle of big data solution.
By spring 2019 it will be expanded to include: Healthy Ageing; further Digital (Creative and Big Data); Advanced Engineering (aerospace); Construction; and Defence.
Business Intelligence and Analytics: From Big Data to Big Impact.
More Definitions of Big Data
Big Data means voluminous amounts of structured or unstructured data that demands fast, innovative and cost-effective ways to process for review and decision-making;
Big Data means any data outputs provided by GI’s Advanced App, including, but not limited to, user data for those users that consent to the use of their data, alcohol sensor raw signals, alcohol sensor converted signals, and any advanced algorithms outputs. Proprietary and ConfidentialThis Agreement and information contained therein is not for use or disclosure outside of WRMT, its Affiliates, and third party representatives, and GI except under written agreement by the contracting parties
Big Data means different things to different people. One issue that I would like to clarify immediately is that this is not simply about very large datasets, with many columns and rows. Although the size of these datasets is typically quite large this is not what defines big data. Rather, what makes data 'big' has to do with the nature and the source of the data and how it is collected, merged, transformed and utilized. In the employment context, I would define big data as follows: big data is the combination of nontraditional and traditional employment data with technology-enabled analytics to create processes for identifying, recruiting, segmenting and scoring job candidates and employees.
Big Data means enormous quantities of data. The amount of data is too large and diverse for conventional computers and databases. “Big Data application” covers new ICT methods and approaches
Big Data means more bandwidth
Big Data means more bandwidth: Handling today’s “big data” or mega datasets requires massive parallel processing on thousands of servers, all of which need direct connections to each other. The rise of mega datasets is fueling a constant demand for additional network capacity in the data center. Operators of high scale data center networks face the task of scaling the network to previously unimaginable size, maintaining any-to-many and any-to-any connectivity without disruptions.
Big Data means collecting and harmonizing the data in one single platform, so researchers can use it to