Data Base: A database is a collection of information organized in such a way that a computer program can easily desired pieces of data. That is, all our data is available when and if we want it.
For example, modelling the availability of rooms in hotels in a way that supports finding a hotel with vacancies.
Data Mining: It is the computational process of discovering patterns in large data sets.The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use.
Now, statisticians view data mining as the construction of a statistical model.
Database management systems (DBMS):
They are software applications that interact with the user to analyze data. Popular DBMSs include MySQL, PostgreSQL, Microsoft SQL Server, Oracle, SAP HANA, dBASE, FoxPro, IBM DB2.
Data Streams:
Data arrives in a stream or streams, and if it is not processed immediately or stored, then it is lost forever. Moreover,
we shall assume that the data arrives so rapidly that it is not feasible to store it all in active storage (i.e., in a conventional database), and then interact with it at the time of our choosing.
Conventional databases typically consist of many tables, each of which is composed of a number of columns.
Data stream management system:
A Data stream management system (DSMS) is a computer program to manage continuous data streams. It is similar to a database management system (DBMS), which is, however, designed for static data in conventional databases.
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