BIG DATA: An Incredibly Easy Method That Works For All

Big Data, as the name suggests, is a very large amount of data, trillions or billions of data, as in zettabytes or so. Generally, this data is collected and then stored, analysed in meaning according to the requirements of the businesses. It is a term that uses traditional database and software techniques to mean a massive volume of both structured and unstructured data that is so huge it is difficult to process.

Data scientists popularly describe the big data characteristics using the four V's; length, velocity, variety, and veracity. Let's look at the four traditional Big Data- Vs, and how value plays a major role in harnessing the power of the other parameters.

Additional Vs are frequently proposed, but these five Vs are widely accepted by the community and can be described as follows:

• Velocity: the speed at which the data is generated
• Volume: the quantity of the data generated
• Variety: the diversity or different data types
• Value: the value of the data or its value 
• Veracity: the quality, accuracy or confidence of the data.
  
  

Big Data gathers your data and recommends it to you according to your interests. Check this figure below to know more about Big Data:

So, this way Big Data is used to collect data and perform different types of analysis, the example above is based on predictive analysis and also on data streaming.

The Big Data Story:
While the idea of big data itself is relatively new, the roots of large data sets date back to the 1960s and 1970s when the data world was just beginning with the first data centers and the invention of the relational database.

By 2005, people began to realize just how much data users were generating through Facebook, YouTube, and other online services. That same year Hadoop (an open-source framework specifically designed to store and analyze big data sets) was developed. In this time NoSQL also started to gain popularity. 

References:

Ibm.com. (2020). Big Data Analytics. [online] Available at: https://www.ibm.com/analytics/hadoop/big-data-analytics [Accessed 27 Jan. 2020].

Digitalocean.com. (2020). An Introduction to Big Data Concepts and Terminology | DigitalOcean. [online] Available at: https://www.digitalocean.com/community/tutorials/an-introduction-to-big-data-concepts-and-terminology [Accessed 27 Jan. 2020].

Oracle.com. (2020). What Is Big Data? | Oracle Ireland. [online] Available at: https://www.oracle.com/ie/big-data/guide/what-is-big-data.html [Accessed 27 Jan. 2020].

Webopedia.com. (2020). What is Big Data? Webopedia Definition. [online] Available at: https://www.webopedia.com/TERM/B/big_data.html [Accessed 27 Jan. 2020].