<prompt> Etsa tlhahiso ea mohlala oa data bakeng sa ho boloka boitsebiso bo bongata ba basebelisi.nan  <response>: Instruction in English: Propose a data model for storing a large amount of user information. . Response in English: A proposed data model for storing a large amount of user information would be a relational database model. This model organizes data into one or more tables or relations of rows and columns, with a unique key identifying each row. Each row represents a single user with their attributes stored as column values.Heres an example structure for a user information database:Users Table:- User ID Primary key- First Name- Last Name- Email- Date of Birth- Phone NumberAddresses Table:- Address ID Primary Key- User ID Foreign Key- Street- City- State- Postal Code- CountryMembership Table:- Membership ID Primary Key- User ID Foreign Key- Membership Type- Start Date- End DateIn this model, user information is stored in the Users table, with each row representing a unique user. The Addresses table is used to store information about users addresses, with the User ID acting as a foreign key to link data back to the Users table. The Membership table is used to store information about users membership, with the User ID acting as a foreign key to link data back to the Users table.This model is scalable, allowing for the addition of more columns and tables as needed, and it allows for easy retrieval of data through SQL queries. Indexes can be added to columns to improve the search speed, and database normalization techniques can be implemented to reduce data redundancy and improve data integrity. . Response in Sesotho: Moetso oa data o sisintsoeng oa ho boloka tlhaiso-leseling e ngata ea basebelisi e tla ba mohlala oa database oa likamano. Moetso ona o hlophisa lintlha ka tafole e le ngoe kapa ho feta kapa likamano tsa mela le likholomo, ka senotlolo se ikhethileng se khethollang mola o mong le o mong. Mola o mong le o mong o emela mosebelisi a le mong ea nang le litšoaneleho tsa hae tse bolokiloeng joalo ka boleng ba kholomo. Mona ke mohlala oa sebopeho sa pokello ea lintlha tsa mosebelisi: Letlapa la Basebelisi: - ID ea Mosebelisi Senotlolo sa mantlha - Lebitso la Pele - Lebitso la Sefane - Imeile - Letsatsi la Tsoalo - Nomoro ea Mohala Letlapa la Liaterese: - ID ea Aterese Senotlolo sa Mathomo - ID ea Mosebelisi Notlolo ea kantle - Seterata - Toropo - Naha - Khoutu ea Poso - Naha Letlapa la Botho: - ID ea Botho Notlolo ea mantlha - ID ea mosebelisi Notlolo ea kantle - Mofuta oa Botho - Letsatsi la ho Qala - Qetello Letsatsi Moetsong ona, lintlha tsa mosebelisi li bolokiloe tafoleng ea Basebelisi, me mola o mong le o mong o emela mosebelisi ea ikhethang. Tafole ea Liaterese e sebelisoa ho boloka tlhahisoleseling mabapi le liaterese tsa basebelisi, me ID ea mosebelisi e sebetsa joalo ka senotlolo sa kantle ho hokahanya data ho tafole ea Basebelisi. Tafole ea Botho e sebelisoa ho boloka tlhahisoleseling mabapi le litho tsa basebelisi, me ID ea mosebelisi e sebetsa joalo ka senotlolo sa kantle ho hokahanya data hape tafoleng ea Basebelisi. Moetso ona oa scalable, o lumella ho eketsoa ha litšiea le litafole ha ho hlokahala, me o lumella ho khutlisa data habonolo ka lipotso tsa SQL. Li-index li ka eketsoa likholomong ho ntlafatsa lebelo la ho batla, me mekhoa ea ho tloaeleha ha database e ka sebelisoa ho fokotsa boteng ba data le ho ntlafatsa botšepehi ba data. 