Definition: DSQ stands for Dynamic Structured Query Language, a high-performance SQL engine. It provides efficient querying capabilities that can handle large amounts of data quickly and efficiently. Detailed definitions include: 1.

Structured Query Language

(SQL): This is a standard language for manipulating relational databases. It's used to define queries. 2.

Dynamic Structured Query Language

(DSQ): In its most basic form, it's the SQL dialect that can be used with dynamic data types. 3.

Structured Data Queries

: DSQ provides various features like indexes, joins, and filtering in a structured manner. 4.

Query Execution Plan

(QE): This is the detailed report of execution time for each query executed on the database. It gives an overview of queries' performance. 5.

Dynamic Query Language

(DQL): DQL allows users to specify more complex conditions than can be specified using `SELECT` and `FROM`. It's used in DSQ to define more advanced data access methods.

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Definition: Sequelize is a JavaScript ORM for MongoDB. It's used to interact with data in the database. Here's its definition: Sequel is a JavaScript ORM that provides a powerful way to work with databases, specifically those supported by MongoDB. Definition: Sequel is a JavaScript Object Notation (JSON) serialization and deserialization library for JavaScript applications, which allows developers to easily write efficient serializable objects. - Sequel supports JSON data format, including the use of "Object" keys. It's designed to be fast, readable, and flexible, allowing developers to work with data in MongoDB efficiently. Sequel is not limited to JavaScript but can also be used in other languages like Python or Java as well. - The library was developed by the MongoDB team for compatibility with existing software that supports JSON data format. - It's designed to provide a simple way to convert between objects and JSON, which makes it particularly useful when working with databases such as MongoDB.

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