Database is a computer based keeping system which is used to record, maintain and retrieve the data. It is also termed as an organized collection of interrelated data. From which a database management system is referred to as collection of interrelated files and set of programs which allows user to access and modify the way to store, retrieve and modify the information which is required. It is also stated that database management system acts as a layer of abstraction on the top of files system which is used for interacting with DBMS and is termed as Structured query language.
Future of Database
SQL databases and Hadoop are designed to solve the narrow classes of problems. These both are the databases which have expanded somewhat successfully the scope which is limited by the legacy of the algorithms which are developed for their original use case. Along with it is also analyzed that Hadoop offers a hyper-optimized analytical subset of what a good relational database offers and is therefore subject to the same fundamental limits.
The future of databases is an architecture which is based on new algorithmic structure which do not have any limitations which are currently experienced with RDBMS and Hadoop. Some of the critical algorithmic deficiencies are as follows:
• Distributed interval indexing
• Real time constraint databases
• Relational Join parallelism
• Scalable Transitive closures
Structured Query language is actually the standard language responsible for dealing with the relational databases. SQL can be effectively used for inserting, searching, update, delete all the database records which are found in a table. SQL syntaxes which are used in databases are almost similar expect the fact that some of the few different syntaxes are used such as:
For example: SELECT * FROM Members WHERE Age > 30
NoSQL databases are non-relational databases that scale out better than relational databases which are designed with the web applications in mind. NoSQL database do not make use of SQL to query the data and follow strict schemas like relational models.
Why it makes sense to learn SQL after NoSQL ?
Well, NOSQL databases are sort of highly specialized systems and have their special usage and limitations. NOSQL suit more for those who handles huge volumes of data. The vast majority, use relational databases and associated tools.
It is analyzed that relational databases have many advantages over NoSQL databases which are as:
• SQL database have mature data storage and management model which is being used by enterprise users.
• SQL database supports the notion of views which allows users to only see the data which is authorized to view.
• SQL databases have better security models as compared to NoSQL databases.