<prompt> Bolela diketsahalo tse tharo tse amanang le moralo wa database o sa amanengnan  <response>: Instruction in English: Name three activities related to non-relational database design . Response in English: 1. Data Modeling: Non-relational databases require a different approach to data modeling, as their structure allows for more flexibility in handling data. This process involves identifying the most efficient way to organize and access data, including designing the schema, defining data relationships, and optimizing for performance.2. Query Optimization: Unlike relational databases with structured Query Language SQL, non-relational databases require different techniques for querying data. This process involves optimizing queries for speed and efficiency, using specialized languages like MongoDBs query language, Cassandra Query Language CQL, or other languages depending on the database used.3. Indexing and Sharding: Efficient indexing is a crucial part of non-relational database design, as it allows for fast data retrieval. This process involves setting up indexes on frequently accessed data fields, and sharding the data across multiple nodes for scalability and performance. . Response in Sesotho: 1. Data Modeling: Li-database tse se nang kamano li hloka mokhoa o fapaneng oa ho etsa mohlala oa data, kaha sebopeho sa bona se lumella ho fetoha ha maemo ho feta ho sebetsana le lintlha. Tsebetso ena e kenyelletsa ho khetholla mokhoa o sebetsang ka ho fetesisa oa ho hlophisa le ho fihlella datha, ho kenyelletsa le ho rala schema, ho hlalosa likamano tsa data, le ho ntlafatsa tsebetso. 2. Ntlafatso ea Lipotso: Ho fapana le marang-rang a amanang le Puo ea Potso e hlophisitsoeng SQL, li-database tse sa amaneng li hloka mekhoa e fapaneng ea ho botsa lintlha. Tsebetso ena e kenyelletsa ho ntlafatsa lipotso bakeng sa lebelo le katleho, ho sebelisa lipuo tse ikhethileng joalo ka puo ea lipotso ea MongoDB, Puo ea Potso ea Cassandra CQL, kapa lipuo tse ling ho latela sebaka sa polokelo se sebelisitsoeng. 3. Indexing le Sharding: Lenane le sebetsang hantle ke karolo ea bohlokoa ea moralo oa polokelo ea litaba o sa amaneng, kaha o lumella ho khutlisa data kapele. Tsebetso ena e kenyelletsa ho theha li-index libakeng tsa data tse fumanehang khafetsa, le ho arola data ho li-node tse ngata bakeng sa scalability le tsebetso. 