Question

a internet research firm gathers data on billions of search queries across thousands of categories. often times analysts must clean the data because it is inaccurate or messy. a typical data set of queries may have a minimum of 100,000 rows of data. the research firm's main revenue source is its consulting operation, in which analysts and associates consult major firms in many different industries, including transportation, retail, manufacturing, and technology/software. the data consists of text, quantitative variables, categorical variables, video and others. these firms have high demands and standards, so the data must be analyzed quickly. does the scenario above meet the four qualifications of big data? group of answer choices yes, the data meets the volume, velocity, variety, but not veracity requirements. no, the data does not meet any of the requirements. the data meets the velocity and veracity requirements, but not the volume and variety requirements. the data meets the volume and variety requirements, but not the velocity and veracity requirements.

Answer 1

The data described by the internet research firm meets three of the big data qualifications: Volume, Velocity, and Variety, but does not definitively meet the Veracity qualification.

Step-by-step explanation:

The scenario described involves a internet research firm gathering and analyzing a massive amount of data, ranging from quantitative variables, categorical variables, to text and video content, for clients across various industries. This scenario indeed meets three qualifications of big data: Volume, Velocity, and Variety.

• Volume is indicated by the 'billions of search queries' and 'minimum of 100,000 rows of data' which suggests the data sets are large in scale.
• Velocity is reflected in the need for rapid analysis due to the high demands and standards of the clients.
• Variety is evident in the different types of data collected including text, quantitative variables, categorical variables, video, and others.

However, the scenario does not clearly articulate how the data meets the Veracity requirement, which pertains to the accuracy and reliability of data. The mention of analysts needing to clean the data due to inaccuracy suggests the firm is addressing Veracity by ensuring data quality before the consultation, but it doesn't definitively state that Veracity is a continuous characteristic of the data sets.

Therefore, the answer to the question is that the data meets the requirements of Volume, Velocity, and Variety but not necessarily Veracity.