Database Concept 1

Database

members

dea asmara gita

135150301111034

yanottama oktabrian

135150301111035

so what is database?

A database is an organized collection of data.

The data are typically organized to model relevant aspects of reality in a way that supports processes requiring this information.

For example, modelling the availability of rooms in hotels in a way that supports finding a hotel with vacancies.

history of database

in 1970 Edgar F. Codd proposed the first relational model.

relational model is insisting that applications should search for data by content, rather than by following links.

this is the first base of database systems.

Edgar Frank Codd

data processing

data collection -> gather the raw data which you want to process

data sorting -> arrange and systemise the data

data validation -> clean the data and double-check for faults, and inconsistencies

data entry -> enter the data into a system

data tabulation -> arrange the data into table format so that it can be analysed

data coding -> create categories to organise the data into relevant group

dbmsdatabase management systems

Database management systems (DBMSs) are specially designed software applications that interact with the user, other applications, and the database itself to capture and analyze data.

A general-purpose DBMS is a software system designed to allow the definition, creation, querying, update, and administration of databases.

dbms (continue)

Well-known DBMSs include MySQL, MariaDB, PostgreSQL, SQLite, Microsoft SQL Server, Oracle, SAP HANA, dBASE, FoxPro, IBM DB2, LibreOffice Base, FileMaker Pro and InterSystems Caché.

A database is not generally portable across different DBMSs, but different DBMSs can interoperate by using standards such as SQL and ODBC or JDBC to allow a single application to work with more than one database.

data storage and backup

database system benefits

finance -> data about employees, training, recruitment needs

marketing -> data about product advertisements and competitors

human resources -> data about employees, training, recruitment needs

customer relations -> data about customers, sastifaction surveys, promotions

production -> data about product specification, detail and design

technical support -> information about the help desk, support calls, manuals, problem reports

sales -> data about volume of products sold

stock management -> data about quantity of product in storage

asking for and giving advice

should/would + infinitive (without to)

should

what should i do?

you should buy a flash drive

you shouldn't get a server

would

what would you recommend?

i’d (would) recommend a flash drive

i wouldn't recommend a server