0:02 [Music] 0:10 hello friends welcome back to our 0:13 channel so from today we are going to 0:16 discuss about the another subject that 0:18 is DBMS so DBMS is nothing but the 0:23 database management system so the name 0:27 itself indicates the managing the 0:30 database right so first we have to know 0:33 about the database what is meant by 0:35 database and where we are using this 0:38 database and why we are using this DBMS 0:42 or the database right so first let us 0:46 see about the data what is meant by a 0:48 data and what is meant by the 0:51 information data and information so here 1:00 the data means the raw data or graphics 1:05 so we can say a mouth fax or a mod data 1:09 and which is in an organized fashion 1:16 which is in an organized fashion so the 1:22 data will be very large 1:23 very huge and the information is 1:26 accessing of data and this data we can 1:31 also call this unprocessed data 1:36 unprocessed civil data or unprocessed 1:40 information so we can call it as an 1:42 processed information right and this is 1:47 a processing of data so after processing 1:52 the data will get the information right 1:55 so this will be in organization 2:00 organized right for example for example 2:05 so if a class consists of a 60 students 2:09 the information or the marks 2:13 or the results so complete class or 2:22 school or college it comes under this 2:26 data and here the example we can say the 2:33 average marks or the past percentage the 2:41 past percentage of school or college is 2:47 called the information the face the 2:50 complete data and the information so 2:54 after processing the data we'll get the 2:57 information right now here our subject 3:03 is something that is DBMS DBMS basic 3:08 database so first database so what is 3:12 memory this database so database means 3:17 the function of data collection of data 3:26 so the database will be very large or 3:29 very high right so from that database we 3:34 have to retrieve the data that means 3:37 this database will be having a large 3:39 amount of data and from this data we 3:43 have to retrieve so we will create the 3:49 data and we'll reduce the data based 3:51 upon some information or based upon some 3:55 processing right so this is called a 4:00 database collection of data so 4:04 objectives the main objectives of this 4:12 DBMS is the first one 4:20 the mass storage so large amount of data 4:25 can be stored at a single place that we 4:28 call it as database so it can accept 4:31 large amount of data so this database 4:40 can also be represented as DB DB 4:44 wherever you see this table that we call 4:48 it as a database okay then there's a 4:51 path object to the next one removes 5:00 duplicates so this database is having an 5:05 object to that it can remove the 5:07 duplicates if they occurred right it 5:11 will remove all the duplicates it 5:15 removes all the duplicates so unique 5:17 data can be maintained the unit data 5:20 that means without any repetition the 5:22 data can be maintained so the next one 5:25 is multi-user so this database can be 5:32 accessed by multiple users at a time 5:35 right so access can be done by multiple 5:47 users I will tell you an example for 5:51 this right so and then prediction so in 6:01 this database we can also secure the 6:04 Delta that means the data can be secured 6:07 with some restrictions so providing the 6:11 security for data access this can also 6:18 be done in database so these are some 6:22 objectives of database management system 6:26 now where we have to use the 6:29 database so applications the 6:40 applications of DBMS so we can use this 6:44 DBMS in every application like some 6:49 airlines business ecommerce ecommerce 6:59 sites universities right banking is very 7:11 important banking so the most etc there 7:17 are number of applications where we can 7:18 use the database actually here the 7:21 complete data will be stored in the form 7:25 of tables in the tables there will be 7:30 rows and columns and the rows are the 7:37 information of a single person let us 7:47 take an example for results okay results 7:51 and columns are the information or 7:57 simply we can say attributes ansan 8:00 attributes introduced right so from this 8:07 table the data will be rated elf will be 8:11 displayed on the screen so this is 8:14 called a DBMS that means organizing the 8:17 data the processing the data so that's 8:20 why I call it as a data is a organized 8:24 or unorganized information and the 8:30 information is an organized manner that 8:33 means we have to retain the data based 8:35 upon some information I mean stop 8:38 processing right so this is all about 8:42 the introduction 8:43 the lineaments so let's stop here and in 8:46 the next session we'll go with the 8:48 properties and the architecture of DBMS 8:53 right so thanks for listening and if you 8:55 are having any doubts you can feel free 8:58 to post your doubts in the comment 8:59 section so definitely we will try to 9:01 clarify all your doubts and if you 9:04 really understood my sessions like my 9:06 session share my sessions with your 9:08 friends and don't forget to subscribe to 9:10 our Channel thanks for watching 9:12 thank you very much