How do you think databases and their programming language are going to evolve in the next 20 years?

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Evolution of Databases and their Programming Languages in the next 20 years
The computing world experiences a dynamic and rapidly evolving of its systems. As a result, the changes have necessitated the imposition of special requirements when it comes to the implementation of new design features, architecture, design, web applications and databases. As experts work on the development of reliable systems, they exploit the capabilities of every technological solution that they present to users. An analysis of the advantages and challenges every technological feature plays a vital role in ensuring that the future products mitigate the underlying problems experienced in the current technology as well as enhance their capabilities.
One of the areas that are expected to undergo drastic changes in the nearby future is the world of databases. As the world moves to handling big data, experts have been forced to reconsider the design and development of database designs and computational features. Thus, future database features are most likely going to exploit the capabilities of handling large data dynamically (Coronel and Morris 24). Their respective programming languages are also going to guarantee fast access to data. Thus, programmers in the future will evaluate the capability of a language to interact with particular database management system based on the type of application in use.
The creation of a database is driven by the need to identify the types of functions that it is intended to meet.

SQL, which is the most famous programming language for databases has been identified to offer enhanced capabilities when dealing with several database technologies. Cui, Mei, and Ooi attribute the success of SQL to the ability to modify various features in a database (27). It is expected that future technologies would use SQL for enhanced functions and on applications such as those utilized by Android, Skype. The language is expected to enhance connectivity within various applications as well as facilitate ease of retrieval of data from existing systems. Thus, the capabilities of SQL are going to be increased because of the need to optimize functionality as well as facilitate better interactions across devices.
A major transformation expected is the change in the way the databases would maintain connectivity as they change their old storage systems. The growth in the size of data implies that databases would mostly rely on cloud technologies, which can handle vast data volumes (Coronel and Morris 25). As a result, other programming technologies are expected to undergo evolution to ensure that they consistently update, retrieve and even delete tasks when required. To this effect, Ruby, Java, and Python will most likely be the ideal programming languages to use in web databases. Programmers will be evaluating the readability, simplicity and long-term compatibility of programming languages with their databases to guarantee the ability to respond to requests in time.

Other changes that are expected to take place on databases include their abilities to respond to increased functions such as outlining graphical outputs. The querying system is projected to interact with the XML libraries in an ideal fashion irrespective of whether the database is free standing or standalone (Cui, Mei, and Ooi 28). The programming language will support enhanced capabilities including the ability to deal with Unicode instead of ASCII
Thus, as the volume of data processed by individuals continues to rise on a daily basis, programmers will emphasize the need to have standard formats to facilitate better exchange of information and mutual understanding. It is expected that the new standards will help minimize discrepancies especially when dealing with unstructured format data to ensure that efficiency is attained.
 
Works Cited
Coronel, Carlos, and Steven Morris. Database systems: design, implementation, & management. London: Cengage Learning, 2016.
Cui, Bin, Hong Mei, and Beng Chin Ooi. “Big data: the driver for innovation in databases.” National Science Review 1.1 (2014): 27-30.