Advanced Database Essay Example | Topics and Well Written Essays - 1250 words

Advanced Database - Essay Example atabase management system shows that it can be a perfect solution for the exponentially growing data volumes.It employs distributed computing approach and would be a perfect choice for managing such big data. The term NoSQL has been denoted as â€Å"not only SQL† by many people. It however has no any universally accepted definition. This title is affiliated to the fact that NoSQL databases do not require execution of SQL statements to query the database. It was devised by Carlo Strozzi in 1998 while referring to his Light Weight, Open Source Database that had no any SQL interface.It is designed in a manner that data storage does not take the form of schemas, thereby avoiding join operations and making it easy to scale horizontally. In 2009, Eric Evans from Rackspace Inc. also used the term while referring to databases which are distributed and non-relational, and which did not conform to the ACID properties of the traditional relational database management systems. Later discussions and use of NoSQL got an impetus that saw it growing remarkably. NoSQL is a group of eclectic non-relational data management systems in which the databases does not use the table schemas to store data. Manipulation of these databases does not rely on SQL as is the case of the conventional relational database management systems. NoSQL databases have gained much impetus due to their ability to support huge quantities of increasing data. With the application of the distributed systems concept, NoSQL databases are designed to handle massive data processed parallel across many servers, employing the use of non-SQL mechanisms and languages to manipulate data. This is achieved through various APIs that aid in converting SQL statements into the system’s innate query language. They emerged as a solution to the challenge major internet companies were facing while dealing with huge quantities of data. To guarantee data integrity, most conventional database management systems employ the aspect