Skip to main content

Post 7: (Question 8): Characteristics of big data analysis

Within big data there is always a will to manage this data and to do this the data first needs to be characterised and to organise our understanding of this big data. Due to this Big Data can and is defined by more than one characteristic. There are in fact 3 characteristics that need to be taken into account and these are Volume, Velocity and Variety. Volume refers to the size of the data that is continuously growing within the world of computing and this raises the question of the quantity of the data itself. Velocity refers to the speed at which the data is processed and this can also be questioned within itself. Variety however refers to the varying types of data, this allows us to question just how each data format differs from one another. 
These characteristics also raise some very important questions that allow us and aid us in deciphering Big Data but they also aid us in learning how to deal with massive and varying data at a manageable pace and within a reasonable time frame so that the value of the data can be deciphered, be analysed and a subsequent response can be provided as swiftly as possible. 

Comments

Popular posts from this blog

FutureLearn Week 2: Post 1 of 4

Open data has been increasing for some time now with data being made open on various sites globally. There are many advantages to having open data, these advantages include being able to share public data sets so that they can be compared. These open data sources can also be used for environmental purposes or even health issues. Disadvantages of open data would include the fact that the site providing the data would be inherently biased and formed in the opinion of the creator.

Post #1: Definition of Big Data

Big Data  is a term that is used to describe a massive volume of both structured and unstructured  data  that is so  large  it is difficult to process using traditional database and software techniques. In most enterprise scenarios the volume of  data  is too  big  or it moves too fast or it exceeds current processing capacity. Big Data  comes from text, audio, video, and images.  Big Data  is analysed by organisations and businesses for reasons like discovering patterns and trends related to human behaviour and our interaction with technology, which can then be used to make decisions that impact how we live,  work , and play. This Big Data can also  be analysed for insights that lead to better decisions and strategic business moves.

FutureLearn Week 3: Post 3 of 3

The power of visualising data The power of visualising data is its ability to reduce complexity but continuing to retain the information. This will allow decision making to be made in a shorter time and can be used as simple representations. The simple representation makes it easier for casual users to perceive the information much more easily.