<prompt> Hlalosa mekhoa e metle ea ho sebelisa database ea likamano.nan  <response>: Instruction in English: Describe the best practices for using a relational database. . Response in English: There are several best practices that can be employed for the effective use of a relational database. Some of the key practices include:1. Data normalization: This involves organizing your data into tables to minimize data redundancy and ensure that data dependencies are logical.2. Defining and enforcing data integrity: It is important to ensure that data entered into the database is accurate and reliable. This can be done through the implementation of constraints and validation rules.3. Proper indexing: Creating the right indexes for your database can greatly enhance its performance. Indexes can help speed up data retrieval operations by reducing the amount of data that needs to be read from the database.4. Regular backups: This is one of the most important practices for any database. Data loss can be catastrophic, and regular backups can help recover data in the event of a failure.5. Monitoring and optimization: Regular monitoring of your databases performance is essential for maintaining its health. This can help you identify any bottlenecks and opportunities for optimization.6. Using transactions: Transactions can help ensure that data is processed reliably in a database. They provide a mechanism for grouping together related changes to the database so that they either successfully complete as a unit or are rolled back in case of any errors.7. Security: Ensuring that your database is properly secured is critical for protecting your data. This can be done through the implementation of access controls, data encryption, and regular security audits.By following these best practices, you can help ensure that your relational database runs smoothly and reliably, while minimally maintaining its integrity and performance. . Response in Sesotho: Ho na le mekhoa e maloa e molemohali e ka sebelisoang bakeng sa tsebeliso e nepahetseng ea database ea likamano. Tse ling tsa litloaelo tsa bohlokoa li kenyelletsa: 1. Ho tloaeleha ha data: Sena se kenyelletsa ho hlophisa lintlha tsa hau ka litafole ho fokotsa khaello ea data le ho netefatsa hore litaba tse itšetlehileng ka data lia utloahala. 2. Ho hlalosa le ho tiisa botšepehi ba data: Ke habohlokoa ho netefatsa hore data e kentsoeng polokelong ea boitsebiso e nepahetse ebile e ka tšeptjoa. Sena se ka etsoa ka ho kenya tsebetsong ea lithibelo le melao ea netefatso. 3. Indexing e nepahetseng: Ho theha li-index tse nepahetseng bakeng sa polokelo ea hau ea boitsebiso ho ka ntlafatsa haholo tsebetso ea eona. Li-index li ka thusa ho potlakisa tsebetso ea ho khutlisa data ka ho fokotsa palo ea data e lokelang ho baloa ho tsoa ho database. 4. Li-backups tsa kamehla: Ena ke e ngoe ea mekhoa ea bohlokoa ka ho fetisisa bakeng sa database efe kapa efe. Ho lahleheloa ke data ho ka ba kotsi, me li-backups tsa kamehla li ka thusa ho khutlisa data ha ho ka etsahala hore e hlolehe. 5. Tlhokomelo le katoloso: Ho lekola tsebetso ea database ea hau khafetsa ho bohlokoa bakeng sa ho boloka bophelo bo botle ba eona. Sena se ka u thusa ho tseba mathata leha e le afe le menyetla ea ho ntlafatsa. 6. Ho sebelisa litšebelisano: Litšebelisano li ka thusa ho netefatsa hore data e sebetsoa ka mokhoa o tšepahalang polokelong ea litaba. Ba fana ka mokhoa oa ho kopanya liphetoho tse amanang le polokelo ea database e le hore li ka phetheloa ka katleho e le yuniti kapa li khutlisetsoe morao haeba ho ka ba le liphoso. 7. Tšireletso: Ho netefatsa hore database ea hau e sirelelitsoe hantle ke habohlokoa bakeng sa ho sireletsa boitsebiso ba hau. Sena se ka etsoa ka ho kenya tšebetsong taolo ea phihlello, kholiso ea data, le tlhahlobo ea kamehla ea tsireletso. Ka ho latela mekhoa ena e metle, o ka thusa ho etsa bonnete ba hore polokelo ea hau ea kamano e sebetsa hantle le ka tsepo, ha e ntse e boloka botsepehi le tsebetso ea eona hanyane. 