<prompt> Bapisa le ho bapisa meralo ea data ea Apache Cassandra le Apache HBase.nan  <response>: Instruction in English: Compare and contrast the data architectures of Apache Cassandra and Apache HBase. . Response in English: Apache Cassandra and Apache HBase are both distributed, NoSQL database management systems that are designed to handle large amounts of data across many commodity servers. However, their underlying architectures and data models are fundamentally different.Data Model and DesignApache Cassandra is a column-oriented database that follows a partitioned row store architecture. It organizes data into a cluster of nodes, where each node is responsible for a partition of data, determined by the partition key. Cassandras data model is based on the concept of a distributed, wide column store, where a row can have a large and dynamic number of columns associated with it.On the other hand, Apache HBase is built on top of the Hadoop Distributed File System HDFS and follows a Log-Structured Merge Tree LSM design that is optimized for fast, random writes. HBase is a column-family store in which data is organized into rows and column families, where columns are grouped into column families for efficient storage and retrieval.Consistency and DurabilityApache Cassandra provides tunable consistency, allowing users to choose the level of consistency they need for their application. It uses a replication strategy that allows for multiple copies of the data to be stored on different nodes, and uses the Gossip protocol to ensure data consistency across the cluster.Apache HBase, on the other hand, provides strong consistency guarantees, where all reads and writes go through a single master server that ensures atomicity and consistency. It uses the Write-Ahead Log WAL to ensure data durability, and stores data on HDFS, which provides built-in replication and fault tolerance.ScalabilityApache Cassandra is designed to be highly scalable, with the ability to add new nodes to a cluster with no downtime. It uses consistent hashing to distribute data evenly across the cluster, and allows for easy expansion and contraction of the cluster.Apache HBase is also designed to be scalable, but requires more administration and planning when adding new nodes to a cluster. The master server must be informed of new nodes, and data must be manually redistributed across the cluster.ConclusionIn summary, Apache Cassandra and Apache HBase are both distributed NoSQL databases, but they have fundamental differences in their data models, consistency and durability guarantees, and scalability. Cassandra is a partitioned row store with a column-oriented data model and tunable consistency, while HBase is a column-family store built on top of HDFS with strong consistency guarantees. The choice between the two systems . Response in Sesotho: Apache Cassandra le Apache HBase ka bobeli li ajoa, litsamaiso tsa taolo ea database tsa NoSQL tse etselitsoeng ho sebetsana le lintlha tse ngata ho li-server tse ngata tsa thepa. Leha ho le joalo, meralo ea bona ea motheo le mehlala ea data li fapane haholo. Moetso oa Boitsebiso le Moralo Apache Cassandra ke polokelo ea boitsebiso e sekametseng kholomong e latelang moralo oa mabenkele a arotsoeng. E hlophisa lintlha ka sehlopha sa li-node, moo node e ngoe le e ngoe e ikarabellang bakeng sa karohano ea data, e khethiloeng ke senotlolo sa ho arola. Mohlala oa data oa Cassandra o ipapisitse le mohopolo oa lebenkele le ajoang, le pharaletseng, moo mola o ka bang le palo e kholo le e matla ea litšiea tse amanang le eona. Ka lehlakoreng le leng, Apache HBase e hahiloe ka holima Hadoop Distributed File System HDFS me e latela moralo oa Log-Structured Merge Tree LSM o lokiselitsoeng ho ngola ka potlako, ka mokhoa o sa reroang. HBase ke lebenkele la malapa la likholomo moo boitsebiso bo hlophisoang ka mela le malapa, moo likholomo li hlophisoang ka lihlopha tsa malapa bakeng sa ho boloka le ho khutlisa hantle. Ho tsitsa le ho tšoarella Apache Cassandra e fana ka mokhoa o tsitsitseng, o lumellang basebelisi ho khetha boemo ba botsitso boo ba bo hlokang bakeng sa tsebeliso ea bona. E sebelisa leano la ho pheta-pheta le lumellang hore likopi tse ngata tsa data li bolokoe li-node tse fapaneng, me e sebelisa protocol ea Gossip ho netefatsa hore data e lumellana ho pholletsa le sehlopha. Apache HBase, ka lehlakoreng le leng, e fana ka litiiso tse matla tsa ho tsitsa, moo bohle ba balang le ho ngola ba feta ka hara seva se le seng sa master se netefatsang atomicity le botsitso. E sebelisa Writing-Ahead Log WAL ho etsa bonnete ba ho tšoarella ha data, le ho boloka data ho HDFS, e fanang ka phetisetso e hahelletsoeng le mamello ea liphoso. Scalability Apache Cassandra e etselitsoe ho scalable haholo, ka bokhoni ba ho eketsa li-node tse ncha sehlopheng se se nang nako ea ho theoha. E sebelisa hashing e tsitsitseng ho aba data ka ho lekana ho pholletsa le sehlopha, me e lumella hore ho be bonolo ho atolosoa le ho fokotseha ha sehlopha. Apache HBase e boetse e etselitsoe ho scalable, empa e hloka tsamaiso le moralo o mongata ha o eketsa li-node tse ncha sehlopheng. Seva e kholo e tlameha ho tsebisoa ka li-node tse ncha, me data e tlameha ho ajoa bocha ho pholletsa le sehlopha. Qetello Ka kakaretso, Apache Cassandra le Apache HBase ka bobeli ke li-database tsa NoSQL tse ajoang, empa li na le liphapang tsa mantlha mefuteng ea bona ea datha, litiisetso tsa botsitso le nako e telele, le scalability. Cassandra ke lebenkele le arohaneng le nang le mohlala oa data o shebaneng le kholomo le tsebetso e tsitsitseng, athe HBase ke lebenkele la malapa le hahiloeng holima HDFS le tiisetso e matla ea ho tsitsa. Khetho pakeng tsa litsamaiso tse peli 