Relational Database in the Era of Big Data - Myassignmenthelp.Com

Question: Discuss about the Relational Database in the Era of Big Data. Answer: Ever since I was introduced to this vast realm of technology, I have known a typical story cycle related to the same. With the advent of a newer technology, the existing ones tend to fade away. Smartphones replaced digital cameras and telephones; Personal Computers banished the use of mini-computers, and the list goes on. However, following the similar trend is it valid to claim that the growth in Big Data has exiled the need for relational database that we shall discuss. This is the era of Big Data. Organizations are leveraging huge volume of data at enormous speed. This makes Big Data management a crucial technology to solve specific data storage and analysis problems. With the advent of data volume and the urgency to analyze large chunks of data, comes the need for modern tools and technique. Apache Hadoop, Spark and several other such software frameworks have been developed to serve for this purpose. However, questions arise whether the traditional table based Relational Database structures are relevant enough to handle big data. Relational Database has always been praised for its renowned legacy for governance. The RDBMS provides tools and methods for access control, modifications and detailed analysis. The Big-Data database systems are now trying to adopt to the same. The IT world is slowly taking its turn from enterprise-centric towards being data-centric, thanks to the Big Data revolution. However, big data cannot survive in isolation. To have a well-built organizational setup, companies must sort out ways to combine the analysis of big data with the relational data, existing within the business. We must keep in mind that every company is not Google or Amazon. Small companies are growing tremendously over the past decade. They require the traditional relational way of data model for their daily routine. There are two types of data any organization must consider, the big data and the important data. The relational database plays a crucial role in providing the dependable, loyal and secured platform for the storage and analysis of organizational data for back-end office computing. It also provides the best platform to apply organizational rules into database management. Another advantage of using the relational model is with time. NoSQL or other Big Data analysis tools consume a larger amount of time in data analysis. However, the use of RDBMS provides a quicker scope of data analysis. This is best suited for smaller organizations with relatively smaller chunks of data to analyze. This is not just about the time it saves, but the accuracy that it provides. In some cases, big data is further broken down into smaller chunks for analysis in the RDBMS to enhance accuracy. Relational database also establishes a platform that ensures data integrity. It might be shocking to know that the shiny timeline that Facebook provides is composed of MySQL, an RDBMS structure. This helps in the proper organizing of data. To conclude my research, I can certainly raise my hand in favor of the traditional technology. Yes, relational database is irreplaceable at its own state, as of now. Its necessity in organizational data handling is immense. In addition, the security, integrity and accuracy of data storage and analysis keeps this system alive in this era of big data. References Batra, S. and Tyagi, C., 2012. Comparative analysis of relational and graph databases.International Journal of Soft Computing and Engineering (IJSCE),2(2), pp.509-512. Davenport, T.H., Barth, P. and Bean, R., 2012. How big data is different.MIT Sloan Management Review,54(1), p.43. Ebner, K., Buhnen, T. and Urbach, N., 2014, January. Think big with Big Data: Identifying suitable Big Data strategies in corporate environments. InSystem Sciences (HICSS), 2014 47th Hawaii International Conference on(pp. 3748-3757). IEEE. Mysql.com. (2017).MySQL :: MySQL Customer: Facebook. [online] Available at: https://www.mysql.com/customers/view/?id=757 [Accessed 19 Dec. 2017].