BACHELOR OF BUSINESS ADMINISTRATION

Detailed explanation-1: -Big Data is a collection of data that is huge in volume, yet growing exponentially with time. It is a data with so large size and complexity that none of traditional data management tools can store it or process it efficiently. Big data is also a data but with huge size.

Detailed explanation-2: -Big Data deal with large or complex data sets which is difficult to manage in traditional data processing software. Big Data used to be defined by the “3Vs”, but now there are five main characteristics, which are often referred to as the “5Vs”: Volume: The name Big Data itself is related to a size which is enormous.

Detailed explanation-3: -1 Answer. The correct answer is option D (can be analyzed with traditional spreadsheets). Big data cannot be analyzed with traditional spreadsheets or database systems like RDBMS because of the huge volume of data and a variety of data like semi-structured and unstructured data.

Detailed explanation-4: -Big data is often stored in a data lake. While data warehouses are commonly built on relational databases and contain structured data only, data lakes can support various data types and typically are based on Hadoop clusters, cloud object storage services, NoSQL databases or other big data platforms.

Detailed explanation-5: -The correct answer is option C (Big data can be processed with traditional techniques). Big data cannot be processed with traditional techniques like relational database systems because big data is huge and it can be semi-structured and unstructured data.