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 very large and complex quantities of datasets that are difficult to process using traditional data processing applications;
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
Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available.
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy.
Response to COVID-19 in Taiwan: Big Data Analytics, New Technology, and Proactive Testing.
Forum participants noted that this roadmap should define and prioritize Big Data requirements, including interoperability, portability, reusability, extensibility, data usage, analytics, and technology infrastructure.
Big Data: The Next Frontier for Innovation, Competition, and Productivity.
More Definitions of Big Data
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 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 different things to different people. It usually refers to (i) our ability to collect large amounts of data and (ii) the promise that analyzing it will create new insights, e.g., scientific discoveries, more effective governance, or better business decisions.
Big Data. ’ means a large volume of unstructured or semi-structured data.
Big Data. ’ means a data set so large or complex that traditional data processing applications and databases are inadequate for the processing thereof.