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Big Data

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Total cards: 10•Content version: v4•Public deck•Updated: 8/1/2026

Card preview (10)

#1
Front (Question)

What is Big Data?

Back (Answer)

Large data sets that are too difficult to store on one server and too varied and complex to easily analyse

#2
Front (Question)

What are the three qualities of Big Data?

Back (Answer)

Volume, velocity and variety

#3
Front (Question)

What does volume mean in Big Data?

Back (Answer)

The gathering/storing of large amounts of data

#4
Front (Question)

What does velocity mean in Big Data?

Back (Answer)

Data streams are collected in a near-to-real-time fashion making processing the data challenging.

#5
Front (Question)

What does variety mean in Big Data?

Back (Answer)

Data comes in a wide variety of formats e.g. text, video, audio, image and unstructured or structured

#6
Front (Question)

What is structured data?

Back (Answer)

• Data that can be entered into a relational database in a row and column format • Data that can be analysed and queried

#7
Front (Question)

What is unstructured data?

Back (Answer)

Data that is: • Difficult to organise • Not appropriate to store in a database in a row and column format • Comes in a vast range of formats so is difficult to perform data analysis on.

#8
Front (Question)

When is distributed programming used?

Back (Answer)

When data is too big to be processed on a single machine, the processing is distributed across several machines.

#9
Front (Question)

What is a computer cluster?

Back (Answer)

Used in distributed programming to share the big data processing task. Big Data –> Computer Cluster (Master Computer and computers) –> Client machines

#10
Front (Question)

What does the master computer do?

Back (Answer)

It uses specialist software to control each networked computer as they perform their sub-tasks