2015•Unpublished venueRequires access

◾ Data Process and Analysis Technologies of Big Data

Shui Yu, Xiaodong Lin, Jelena Misic, Xuemin (Sherman) Shen

Open publisher page 2 citations

Abstract

Mayer-Schonberger and Cukier dene Big Data as “the ability of society to harness information in novel ways to produce useful insights or goods and services of signicant value [1].” roughout the current literature, Big Data is usually dened by the three Vs: volume, velocity, and variety. Volume refers to the large amount of data. “Large” ranges from gigabytes to petabytes. Typically, the volume increases, but the data itself does not change. Velocity refers to the speed at which the data volume grows. For instance, on Facebook more than 500 TB of data is created daily [2]. Variety describes the data types in Big Data. Big Data usually consists of structured, semistructured, and unstructured data. Big Data requires all 3 Vs to apply (Figure 6.1).

About this research paper

What this paper is about

Mayer-Schonberger and Cukier dene Big Data as “the ability of society to harness information in novel ways to produce useful insights or goods and services of signicant value [1].” roughout the current literature, Big Data is usually dened by the three Vs: volume, velocity, and variety. Volume refers to the large amount of data. “Large” ranges from gigabytes to petabytes. Typically, the volume increases, but the data itself does not change. Velocity refers to the speed at which the data volume grows. For instance, on Facebook more than 500 TB of data is created daily [2]. Variety describes the data types in Big Data. Big Data usually consists of structured, semistructured, and unstructured data. Big Data requires all 3 Vs to apply (Figure 6.1).

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Mayer-Schonberger and Cukier dene Big Data as “the ability of society to harness information in novel ways to produce useful insights or goods and services of signicant value [1].” roughout the current literature, Big Data is usually dened by the three Vs: volume, velocity, and variety. Volume refers to the large amount of data. “Large” ranges from gigabytes to petabytes. Typically, the volume increases, but the data itself does not change. Velocity refers to the speed at which the data volume grows. For instance, on Facebook more than 500 TB of data is created daily [2]. Variety describes the data types in Big Data. Big Data usually consists of structured, semistructured, and unstructured data. Big Data requires all 3 Vs to apply (Figure 6.1).

Key concepts: Big data, Computer science, Process (computing), Data science, Data mining, Operating system

Related papers

Back to paper searchBrowse research topicsOriginal source
◾ Data Process and Analysis Technologies of Big Data — Research Paper | ScholarLens