Question

One of the three characteristics (3Vs) of Big Data is velocity. Name and briefly describe the remaining two characteristics of Big Data.

Note: Plz answer it within one hour. Thanks

Answer 1

One of the three characteristics (3Vs) of Big Data is velocity. Name and briefly describe the remaining two characteristics of Big Data.

Answer:

The 3Vs are:

1.Velocity

2.Volume

3.Variety

BELOW ARE REMAINING 2Vs Of Big Data

1. Velocity:

The speed with which the data arrives is very high. One example being continuous streams of data from sensors etc.

BELOW ARE REMAINING 2Vs Of BIG DATA

2. Volume: The volume of the data should be very large, large enough that a single machine can’t handle processing this volume.

The most obvious one is where we’ll start. Big data is about volume. Volumes of data that can reach unprecedented heights in fact. It’s estimated that 2.5 quintillion bytes of data is created each day, and as a result, there will be 40 zettabytes of data created by 2020 – which highlights an increase of 300 times from 2005. As a result, it is now not uncommon for large companies to have Terabytes – and even Petabytes – of data in storage devices and on servers. This data helps to shape the future of a company and its actions, all while tracking progress.

3. Variety:

Big data can consist of multiple formats of data including Structured, Semi-structured and completely unstructured.

Data was once collected from one place and delivered in one format. Once taking the shape of database files - such as, excel, csv and access - it is now being presented in non-traditional forms, like video, text, pdf, and graphics on social media, as well as via tech such as wearable devices. Although this data is extremely useful to us, it does create more work and require more analytical skills to decipher this incoming data, make it manageable and allow it to work.

Big Data is much more than simply ‘lots of data’. It is a way of providing opportunities to utilise new and existing data, and discovering fresh ways of capturing future data to really make a difference to business operatives and make it more agile.