Understanding The Concept Of Big Data

Understanding The Concept Of Big Data

Big data is an information technology term defined as the amount of data that gets more bulky, complex, and fast moving that it is very difficult to handle through normal database management tools. Such issues related to big data arise regularly in different fields, such as meteorology or business intelligence, to process the available bulky data for getting the solution of the problems. Thus, the data gets bulkier and newer tools and platforms are required to handle such issues pertaining to the big data.

Big data is not a very old concept in information technology. This concept evolved from the three fundamental attributes of the blasting nature of data: rapidly increasing volume of data, need of fast processing velocity, and a variety of data types.

The increase in data volume is so fast that it is astonishing to find out that we create more than 2.5 quintillion bytes of data every single day, according to IBM research. It does not stop at this growth rate; every second the growth rate of data increase is faster than the previous one. Comparatively, we create more data during every new second than in the previous one. This is very interesting as it means that 90 percent of today’s total data was created in the last two years! This trend will prevail in the the future too. As per normal trends since last three decades, the data volume doubles after every three years or so.

Exponentially increasing data in structured or unstructured forms are text, videos, call detail records of mobile communications, as well as other forms of telephone and data calls, camera and telescope surveillance of different activities on the globe and beyond, sales and purchase transaction records, social websites, GPS navigation, and other online services to name a few.

Mobile phone and other telecommunication companies are a big source of data increase through their call detail records or CDRs. CDRs are used for billing and other legal and commercial purposes. It is estimated that more than 500 million calls are originated and terminated from one telephone device to another. The records are made at both ends, thus increasing the volume of data to many terabytes.

Big data has yet to be defined in terms of volumes and velocities; but normally, it ranges from a few dozen terabytes to many petabytes. It depends on the nature of the data and its velocity to process in and process out of the main storage of data.

Normally applied techniques of database management systems are not capable to process and handle such huge volumes and complexity of the data. Therefore, newer mechanisms are being implemented to handle big data. Exceptional and high end technologies for processing big data are data mining grids, massively parallel processing databases, cloud computing platforms, distributed file systems, scalable storage systems, and the Internet.

Rational database management systems are the most efficient forms of rational database handling that work on the basis of relational tables of data and thus make it faster to access and process the data in different ways. There are very few massively parallel processing databases that can handle petabytes of data efficiently, taking into account the complexity of big data processing.

IT engineers enjoy the challenge of exploring big data; the complexity of the problem provides an opportunity to technical thinkers and leaders to develop newer ideas for tackling the issues that pose a threat to the smooth operation of IT processes. Bigger companies like IBM, Oracle, Microsoft, and Siemens are investing more money in research and development for better solutions to these problems.

Big data will not only keep increasing its volume but the expected increase is much more than present trend. Many people in the world have still not started using the Internet; the big data will increase drastically once those people start using the newer technologies and the Internet. This means the demand of data use of the existing users is increasing very rapidly. Smartphones and wireless technologies are fuelling the rapid swelling up of big data of the world. This only makes more fun and challenging for IT engineers to explore the concept of big data and develop new technologies.

By Walter Bailey

About Walter

Walter has been a technology freelance writer for several years. His focus is on Cloud Computing and Big Data.

View All Articles

Sorry, comments are closed for this post.

Shadow IT To Remain A Focus For Both Cloud Vendors And CIOs

Shadow IT To Remain A Focus For Both Cloud Vendors And CIOs

Shadow IT To Remain A Focus Shadow IT, a phenomenon defined as building internal IT systems without the official organizational approval has been a growing concern for CIOs over the last few years. In 2015, it climbed to the top of the list of the emerging IT threats, with as much as 83% CIOs reporting…

Are You Sure You Are Ready For The Cloud: Security

Are You Sure You Are Ready For The Cloud: Security

Cloud Security For the last several months, we have been discussing ways to make sure you are ready for the next step in your IT evolution: Cloud. When review the different steps of making sure you are ready, one that I have intentionally avoided was Security. I spoke to you about “Security of Business”, but…

Drones: Unlimited Possibilities Await Us – Good And Bad

Drones: Unlimited Possibilities Await Us – Good And Bad

Drones: Unlimited Possibilities I have written two recent posts here on CloudTweaks about drones. The first, ‘The Pizza Delivery Drone’, was a somewhat comical look at what possibly is to come with future drones. The second was a look at the more immediately possible concept of a modular drone.  Modular drones are capable of supporting…

Are Cloud Solutions Secure Enough Out-of-the-box?

Are Cloud Solutions Secure Enough Out-of-the-box?

Out-of-the-box Cloud Solutions Although people may argue that data is not safe in the Cloud because using cloud infrastructure requires trusting another party to look after mission critical data, cloud services actually are more secure than legacy systems. In fact, a recent study on the state of cloud security in the enterprise market revealed that…

Are You SURE You Are Ready For The Cloud? Cloud Readiness

Are You SURE You Are Ready For The Cloud? Cloud Readiness

Cloud Readiness Over the last three months, we have discussed the reasons why you may have wanted to move to the cloud.  Maybe the decision wasn’t yours to be made in the first place?  Either way, you are now getting ready to start down that road of cloud enlightenment! (Image source: Shutterstock) The question is,…

Big Data – Productivity, Innovation And Competitiveness

Big Data – Productivity, Innovation And Competitiveness

Big Data – Productivity, Innovation And Competitiveness Big Data Analytics Big data refers to datasets that are so large, diverse, and fast-changing which need advanced and unique storage, management, analysis, and visualization technologies.  According to McKinsey, Big Data is “the next frontier for innovation, competition and productivity”.  The right use of Big Data can increase productivity,…

5 Things A Cloud Provider Should Offer – Part II

5 Things A Cloud Provider Should Offer – Part II

5 Things A Cloud Provider Should Offer Part II I recently posted an article for the CloudTweaks community on “Cloud-Enabled Managed Hosting: 5 Things a Cloud Provider Should Offer” and many readers have since asked me to expand upon this list. So, as a sequel to my first article, here are another five things I…

CloudTweaks is recognized as one of the leading influencers in cloud computing, infosec, big data and the internet of things (IoT) information. Our goal is to continue to build our growing information portal by providing the best in-depth articles, interviews, event listings, whitepapers, infographics and much more.

Sponsor