Big data is all over the places, and the term used everywhere. The curiosity about what is Big Data has been soaring in the past few years.
Some facts:
Users watch 4.15 million YouTube videos
Send 456,000 tweets on Twitter
Post 46,740 photos on Instagram
510,000 comments posted on FB
293,000 statuses updated on Facebook
These activities on the Web are the leading formation of Big Data; the business application and weblog data adds additional formation within the organization.
The gaining of Big Data importance:
The usage of manual paper, files, floppy, discs, etc. have now become obsolete because of the exponential growth of data. The growth of the data leads to the usage of the database for the storage of the data.
The exponential growth of the data and the usage also lead to new inventions, technologies, applications with a quick response time.
The introduction of the internet leads to the uncontrollable growth of data from all directions. The generation of continuous and massive data can refer to as Big Data. So, the #InternetOfThings(#IoT) is one such technology that plays a significant role in this acceleration. 90% of all data today was generated in the last two years.
Forbes reports that there are 2.5 quintillion bytes of data created each day at our current pace, but that pace is only accelerating.
Database Management Systems:
“In traditional relational database management systems, data often moved to computational space for processing. In Big Data space, the computation performed at the data location. So, everything is real-time.”
A vital feature of these types of real-time notifications is that they enable real-time actions. However, using such a capability would require you to approach your application and your work differently.
Most Big Data companies have updated their culture to be more real-time action-oriented, refining real-time processes to handle anything from customer relations and fraud detection to system monitoring and control.
Such volumes of real-time data and analytical operations that need to take place requires increased use of scalable computing systems, which need to be a part of the planning for an organizational Big Data strategy.
Big Data Defined:
#BigData is not just about the size and the volume of the data. #BigData refers to the massive amounts of data sourced from various data sources and has in different data formats. Data was always captured and stored in databases, but because of the varied nature of this data, the traditional relational database systems are incapable of handling this data.
Conclusion:
#BigData is much more than a collection of datasets with different formats; it is an important asset that can get used to obtaining enumerable benefits.
Comments