B. From the last decades, organizations of various nature such as education, health, businesses, among others use Relational databases. Structured Query Language (SQL) databases are designed to manage structured data and show tremendous performance. Atomicity, Consistency, Isolation, and Durability (ACID) property of relational databases is leveraged on to manage the integrity and consistency of data. Physical database techniques are harness to improve relational databases performance. Tablespaces also called subfolder is among the physical database mechanisms used by Oracle SQL database. Tablespaces are used to logically store data in separate data files. In recent times, enormous and diverse nature (unstructured and semi structured) of data is produced by different organizations i.e. videos, images, blogs etc. The SQL databases do not handle this large amount of data efficiently. NoSQL databases are rather used to process and analyze the huge data efficiently. Compare the relational databases to the NoSQL databases.

Database Systems: Design, Implementation, & Management
12th Edition
ISBN:9781305627482
Author:Carlos Coronel, Steven Morris
Publisher:Carlos Coronel, Steven Morris
Chapter9: Database Design
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B. From the last decades, organizations of various nature such as education, health, businesses, among others use Relational databases. Structured Query Language (SQL) databases are designed to manage structured data and show tremendous performance. Atomicity, Consistency, Isolation, and Durability (ACID) property of relational databases is leveraged on to manage the integrity and consistency of data. Physical database techniques are harness to improve relational databases performance. Tablespaces also called subfolder is among the physical database mechanisms used by Oracle SQL database. Tablespaces are used to logically store data in separate data files. In recent times, enormous and diverse nature (unstructured and semi structured) of data is produced by different organizations i.e. videos, images, blogs etc. The SQL databases do not handle this large amount of data efficiently. NoSQL databases are rather used to process and analyze the huge data efficiently. Compare the relational databases to the NoSQL databases.

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