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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