Google Data Analytics Professional Certification Practice Test

Which of the following can be described as complex and large data sets combined with analytical techniques?

1. Small Data

2. Structured Query Language

3. Business Tasks

4. Big Data

The correct answer is: Big Data

The concept of Big Data refers to large and complex data sets that traditional data processing software cannot manage effectively. This definition encompasses not only the volume of data but also its variety and velocity, meaning that big data can come from various sources and is generated at high speeds. The term emphasizes the analytical techniques used to sift through these large datasets to identify patterns, correlations, and insights that can inform decision-making processes. Thus, big data is intrinsically linked to the methodologies applied to analyze it, rendering this choice the most accurate among the options presented. The other choices, while relevant in their contexts, do not encapsulate the essence of both complexity and size inherent in big data. For example, Small Data refers to manageable datasets that can be easily analyzed with conventional methods, and Structured Query Language (SQL) is a programming language specifically for managing relational databases. Business Tasks are activities undertaken in a corporate environment but do not specifically deal with the characteristics of data sets or analytical techniques.