<prompt> Hlalosa mohopolo oa phetoho ea data.nan  <response>: Instruction in English: Explain the concept of data transformation. . Response in English: Data transformation is the process of converting data from one format, structure or type into another in order to make it more usable, accessible and insightful for analysis or for different systems and applications. This is a crucial step for preparing data for analysis and processing, as it ensures that the data is in the right form and is clean, consistent and complete. The process of data transformation may involve various techniques such as data mapping, data normalization, data cleansing or data encoding. For example, it may be necessary to transform text data from unstructured to structured data, convert numbers from one measurement system to another or simply reformat date and time values, so that they can be properly utilized by various data analysis tools.Data transformation can be performed manually, but it is more often automated, especially when dealing with large volumes of data. ETL Extract, Transform, Load tools are commonly used for this purpose, as they can automate the extraction of data from different sources, transform it into a common format and load it into a data warehouse for analysis.Overall, data transformation is essential for turning raw or disparate data into useful and meaningful insights, and it plays a vital role in the process of data integration, data analysis and data management. By converting and normalizing data, data transformation enables organizations to make more informed decisions and gain a clearer understanding of their data. . Response in Sesotho: Phetoho ea data ke mokhoa oa ho fetolela data ho tsoa sebopehong se le seng, sebopehong kapa mofuta o mong ho ea ho o mong e le ho etsa hore e sebelisoe, e fumanehe le ho ba le temohisiso bakeng sa tlhahlobo kapa bakeng sa litsamaiso le litsebetso tse fapaneng. Ona ke mohato oa bohlokoahali oa ho lokisa data bakeng sa tlhahlobo le tsebetso, kaha o netefatsa hore data e ka sebopeho se nepahetseng me e hloekile, e tsitsitse ebile e felletse. Tsebetso ea phetoho ea data e ka kenyelletsa mekhoa e fapaneng e kang ho etsa mapa oa data, ho tloaeleha ha data, ho hloekisa data kapa khouto ea data. Ka mohlala, ho ka na ha hlokahala hore u fetole data ea mongolo ho tloha ho e sa hlophisoang ho ea ho data e hlophisitsoeng, ho fetola linomoro ho tloha tsamaisong e ngoe ea ho lekanya ho ea ho e ngoe kapa ho fetola letsatsi le nako ea litekanyetso, e le hore li ka sebelisoa ka nepo ke lisebelisoa tse fapaneng tsa tlhahlobo ea data. Phetoho ea data e ka etsoa ka letsoho, empa hangata e etsoa ka boiketsetso, haholo ha e sebetsana le palo e kholo ea data. Lisebelisoa tsa ETL Extract, Transform, Load li atisa ho sebelisoa bakeng sa morero ona, kaha li ka iketsetsa ho ntšoa ha data ho tsoa mehloling e fapaneng, ho e fetola ka mokhoa o tloaelehileng le ho e kenya sebakeng sa polokelo ea boitsebiso bakeng sa tlhahlobo. Ka kakaretso, phetoho ea data e bohlokoa bakeng sa ho fetola data e tala kapa e fapaneng ho ba temohisiso e molemo le e nang le moelelo, me e bapala karolo ea bohlokoa tsebetsong ea ho kopanya lintlha, tlhahlobo ea data le tsamaiso ea data. Ka ho fetola le ho etsa hore data e tloaelehe, phetoho ea data e thusa mekhatlo ho etsa liqeto tse nang le tsebo le ho fumana kutloisiso e hlakileng ea lintlha tsa bona. 