Big Data

Question 1

Big Data

Answer 1

Data that doesn’t fit the usual containers

Question 2

Big Data - Volume

Answer 2

There is too much data for it all to fit on a conventional hard drive or server. Has to be stored on multiple servers

Question 3

Big Data - Velocity

Answer 3

Data on the servers is created and modified rapidly. Servers must respond to frequently changing data within a matter of milliseconds

Question 4

Big Data - Variety

Answer 4

The data held on the servers consists of many different types of data

Question 5

Big Data - Most challenging attribute

Answer 5

Lack of structure - Unstructured nature makes it difficult to analyse the data

Question 6

Examples of Big Data

Answer 6

Continuously monitored banking interactions and data from surveillance systems

Question 7

Big Data - Solution to problem of processing data over multiple machines

Answer 7

Functional Programming - Their programs are stateless (no side effects) and make use of immutable data structures (when created, state cannot be modified).

Question 8

Big Data - Fact-based Model

Answer 8

Each individual piece of information is stored as a fact so they are immutable and cannot be overwritten

Question 9

Big Data - Graph Schema

Answer 9

Uses graphs with nodes and edges to represent the structure of a dataset