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Known for its ability to handle massive amounts of data across multiple nodes with no single point of failure, Cassandra has become a popular choice for organizations dealing with bigdata and real-time applications. It follows a peer-to-peer architecture, employing a decentralized approach to data storage and replication.
The final stage of an ETL process is when we load the structured and formatted data into some database. If the amount of data is small, any kind of database can be used. A specific type of database used in BI, bigdata processing, and machine learning is called a Data Warehouse.
So, we’ll only touch on its most vital aspects, instruments, and areas of interest — namely, data quality, patient identity, databaseadministration, and compliance with privacy regulations. Modern databases are usually controlled via a database management system (DBMS) that sits between information and apps consuming it.
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