FUNDAMENTALS OF COMPUTER

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DATABASE FUNDAMENTALS

BASICS OF BIG DATA

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
Contains various types of files, both structured and unstructured. Analysis of unstructured data will require slightly different algorithms, such as text, image, sound and video data. For such data it will take more time to process it, because it could be that the unstructured data still exists other data or new data that can be extracted is a Characteristic of Big Data which is called:
A
Volume
B
Velocity
C
Variety
D
Value
E
Veracity
Explanation: 

Detailed explanation-1: -Structured data is highly specific and is stored in a predefined format, where unstructured data is a conglomeration of many varied types of data that are stored in their native formats. This means that structured data takes advantage of schema-on-write and unstructured data employs schema-on-read.

Detailed explanation-2: -So, when you think of dates, names, product IDs, transaction information, and so forth, you know that you have structured data in mind. At the same time, unstructured data has many faces like text files, PDF documents, social media posts, comments, images, audio/video files, and emails, to name a few.

Detailed explanation-3: -Structured data is usually easier to search and use, while unstructured data involves more complex search and analysis. Unstructured data requires processing to understand it, such as stacking before placing it in a relational database. Structured data is older, so there are more analytics tools available.

Detailed explanation-4: -As noted earlier, unstructured data can be textual or non-textual (such as audio, video, and images), and generated by people or by machines. Non-relational databases such as MongoDB are the preferred choice for storing many kinds of unstructured data.

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