why do we need to study database
There was this recent Why not just use text files? What can RDBMS do that a simple text file cannot? Or, why not use several different text files to represent different tables? Heh. LetБs challenge that through a witty comparison (also given as an
Short story (not to be taken too seriously): Some people just put their keys, wallets, make-up, letters, pencils, more make-up, change, and all the other stuff in a huge purse, spending hours to find stuff when we need to catch the train. Stuff, which they might have actually put in that other purse. LetБs call this purse the text file I like to structure my stuff. My index says: Wallet in the back pocket, key in the front right pocket, mobile phone in the front left pocket, glasses on my nose. LetБs call this structure the RDBMS. Long story: This Quora question is really interesting in this context: Essentially, there had been a single most important driving force at the time, pushing RDBMS way ahead of all alternative storage models: itself, designed mostly by , a brilliant computer scientist of his times. Not only did popular relational database management systems take care of actually managing data, data structures, physical models, transactions, query models, a powerful query language (implemented as , , , and various other dialects / APIs), referential intergrity, constraint management etc, etc. , they were also based on a very very powerful conceptual model and implementation rules ( ).
The relational data model can easily model almost all business rules. So, of course you can write your own data management system. Or you use a proven one that does millions of things for you according to very proven rules conceived by very bright people that got very rich with their systems. Structured Query Language, or what s more commonly known as SQL, is a special-purpose programming language that s used to interact with databases. It works by analyzing and understanding databases consisting of fields of data within tables. SQL has roots dating back to the early 1970s, during which IBM engineers Donald Chamberlin and Raymond Boyce designed the initial version to the manipulate and retrieve data stored in the company s database system.
Combining data from two or more sources can be time-consuming and downright daunting task. However, SQL makes the process a breeze by supporting simple merges in which the specified fields or entire databases are combined. Still searching for a practical way to manage large datasets? Traditional spreadsheets can be used to manage small-to-medium-sized pools of data, but you ll need a different solution when handling excessively large records. Thankfully, this is an area in which SQL shines: whether it s 1,000 records or 100 million, SQL is fully equipped to manage datapools of virtually all sizes. If you plan on managing servers, or creating your own server, SQL programming language will most certainly prove useful. Many servers use databases like MySQL or SQL Server to, well, store data. By familiarizing yourself with SQL and its respective queries, you can easily navigate through the otherwise confusing web of datasets. Thanks for reading, follow your passion by finding the perfect course, just for you over on.
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