<prompt> Hlalosa mokhoa oa ho ntša data ho database.nan  <response>: Instruction in English: Describe the process of extracting data from a database. . Response in English: Extracting data from a database involves several steps, including:1. Identifying the data to extract: The first step is to determine what information is needed from the database. This may include specific fields from one or more tables, or it may involve filtering to only include specific records that meet certain criteria.2. Writing a query: A database query is a set of instructions written in a programming language usually SQL that tells the database what data to retrieve. The query will specify which tables to pull data from, which fields to retrieve, and any conditions or filters to apply.3. Executing the query: Once the query has been written, it is sent to the database for execution. The database will process the query and retrieve the requested data.4. Exporting the data: The data can then be exported from the database in a variety of formats, such as a CSV or Excel file, or it can be integrated directly into another software application or report. The method used for exporting data will depend on the specific needs and use case.5. Verifying and cleaning the data: After the data has been exported, it is important to verify that it is accurate and complete, and to remove any duplicate or erroneous records. It may be necessary to perform additional data cleaning or preprocessing steps before the data can be used for analysis or other purposes. . Response in Sesotho: Ho ntša lintlha ho tswa ho database ho kenyelletsa mehato e mengata, ho kenyelletsa: 1. Ho tseba lintlha tse lokelang ho ntšoa: Mohato oa pele ke ho fumana hore na ke boitsebiso bofe bo hlokahalang ho tloha polokelong ea boitsebiso. Sena se ka kenyelletsa likarolo tse ikhethileng ho tsoa ho tafole e le ngoe kapa ho feta, kapa se ka kenyelletsa ho sefa ho kenyelletsa feela lirekoto tse ikhethileng tse fihlelang litekanyetso tse itseng. 2. Ho ngola potso: Potso ea database ke sete ea litaelo tse ngotsoeng ka puo ea lenaneo hangata SQL e bolellang polokelo ea boitsebiso hore na ke lintlha life tse lokelang ho khutlisoa. Potso e tla hlakisa hore na ke litafole life tseo u ka hulang data ho tsona, ke libaka life tse lokelang ho khutlisoa, le maemo afe kapa afe kapa li-filters tse lokelang ho sebelisoa. 3. Phethahatso ea potso: Hang ha potso e se e ngotsoe, e romelloa polokelong ea litaba hore e etsoe. Database e tla sebetsana le potso mme e fumane data e batloang. 4. Ho romela boitsebiso kantle ho naha: Joale data e ka romelloa ho tsoa ho database ka mefuta e sa tšoaneng, e kang file ea CSV kapa Excel, kapa e ka kopanngoa ka ho toba ho sesebelisoa se seng sa software kapa tlaleho. Mokhoa o sebelisoang bakeng sa ho romella data kantle ho naha o tla ipapisa le litlhoko tse ikhethileng le boemo ba tsebeliso. 5. Ho netefatsa le ho hloekisa data: Ka mora hore data e romeloe kantle ho naha, ke habohlokoa ho netefatsa hore e nepahetse ebile e feletse, le ho tlosa litlaleho leha e le life tse kopitsoang kapa tse fosahetseng. Ho ka na ha hlokahala ho etsa mehato e eketsehileng ea ho hloekisa data kapa mehato ea ho lokisa pele data e ka sebelisoa bakeng sa tlhahlobo kapa merero e meng. 