We live in a world in which information and data is a new fuel. There are many advancements in the field of data science and machine learning wherein you need to have historical data to build advanced machine learning algorithms for accurate predictions. Not only for machine learning purposes but also for conducting business analysis and predictive analysis using the
data, is an important part of any industry to grow and align the business and marketing strategy in the line of maximum growing business.
You can take a look at any industry, whether it is FMCG, e-commerce, stock exchange, banking, edtech or any government schemes, that may involve collecting demographic data, issuing subsidies and Aadhar cards, and listing people as per the poverty benchmark. In each of the industries, you need to deal with data in terms of collection, processing or creating strategy.
So, in the world of highly advanced and data-driven analysis and technologies, it is extremely important to store and manage the data, which is also called database management. A database management system (DBMS) is a software that is designed to store, retrieve, define and manage data in a database and works on the top of the database. The DBMS software primarily functions as an interface between the end-user and the database, simultaneously managing the data, the database engine and the database schema in order to facilitate the organisation and manipulation of data.
Why we need database?
The various reasons a database is important are −
- Manages large amounts of data: A database stores and manages a large amount of data on a daily basis. This would not be possible using any other tool such as a spreadsheet as they would simply not work.
- Accurate: A database is pretty accurate as it has all sorts of build in constraints, checks etc. This means that the information available in a database is guaranteed to be correct in most cases.
- Easy to update data: In a database, it is easy to update data using various Data Manipulation languages (DML) available. One of these languages is SQL.
- Security of data: Databases have various methods to ensure security of data. There are user logins required before accessing a database and various access specifiers. These allow only authorised users to access the database.
- Data integrity: This is ensured in databases by using various constraints for data. Data integrity in databases makes sure that the data is accurate and consistent in a database.
- Easy to research data: It is very easy to access and research data in a database. This is done using Data Query Languages (DQL) which allow searching of any data in the database and performing computations on it.
Reasons why you need DBMS:
Data retrieval: If you want to retrieve data from the flat file then we must develop application programs in a high-level language, so that data can be stored and retrieved fast and securely within the time bound Ex: SQL – structured query language
Data redundancy: In any storage, we need to make copies of data for backup but in traditional file management systems once we update data in one location sometimes it fails to get updated in the copy of the data, so that it may create problems of inconsistency this rate is called duplicate data or redundant data The database automatically maintains consistent data through a transaction using certain rules and procedures Each transaction internally follows four properties known as acid properties(atomicity, consistency, durability, isolation). The database is capable of eliminating all problems of insertion-deletion updation of data through levels of the normalization process
Data integrity: Data integrity ensure that only required data is stored in the database.e data is validated before entered into the database using integrity constraints such as primary key, foreign key, etc
Data security: In traditional file management, there is no authentication mechanism at high-end whereas DBMS provides levels of security authentication which can be done at user level admin level, etc
Data indexing: If you want to retrieve data very fast from the database we are using indexing mechanism whereas Flat files don’t support indexing and solely depend upon secondary storage devices
Indexing is a mechanism where data is uniquely identified and stored using some computational techniques so that data is retrieved very fast.
- Log in to post comments