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BIG Data The 5 Vs
To get a better understanding of what Big Data is, it is often described using 5 Vs:
Volume Refers to the vast amounts of data generated every second. We are not talking Terabytes but Zettabytes or Brontobytes. If we take all the data generated in the world between the beginning of time and 2008, the same amount of data will soon be generated every minute. This makes most data sets too large to store and analyse using traditional database technology. New big data tools use distributed systems so that we can store and analyse data across databases that are dotted around anywhere in the world.
Variety Refers to the different types of data we can now use. In the past we only focused on structured data that neatly fitted into tables or relational databases, such as financial data. In fact, 80% of the world’s data is unstructured (text, images, video, voice, etc.) With big data technology we can now analyse and bring together data of different types such as messages, social media conversations, photos, sensor data, video or voice recordings.
Velocity Refers to the speed at which new data is generated and the speed at which data moves around. Just think of social media messages going viral in seconds. Technology allows us now to analyse the data while it is being generated (sometimes referred to as in-memory analytics), without ever putting it into databases.
Value Then there is another V to take into account when looking at Big Data: Value! Having access to big data is no good unless we can turn it into value. Companies are starting to generate amazing value from their big data.
We currently only see the beginnings of a transformation into a big data economy. Any business that doesn’t seriously consider the implications of Big Data runs the risk of being left behind.