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The Role of Database Applications in Modern Business Environments

Knowledge Hut

Database Software- Document Store (e.g.-MongoDB): MongoDB): MongoDB is a prominent database software that comes under the category of "document store" databases. Document store databases, such as MongoDB, are intended to store and manage data that is unstructured or semi-structured, such as documents.

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MongoDB vs DynamoDB Head-to-Head: Which Should You Choose?

Rockset

Relational databases scale up well, but can be painful to scale out when a company has more data than a single database server can manage. On the other hand, non-relational databases (commonly referred to as NoSQL databases) are flexible databases for big data and real-time web applications.

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Top 12 Backend Developer Skills You Must Know in 2024

Knowledge Hut

Therefore, having a solid grasp of the database is essential. The backend developer must make a relational mapping for the data to be accessible when needed. Therefore, developers employ MySQL, SQL, PostgreSQL, MongoDB, etc., Some of them are PostgreSQL, MySQL, MongoDB, etc. to manage DBMS.

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Data Collection for Machine Learning: Steps, Methods, and Best Practices

AltexSoft

They can be accumulated in NoSQL databases like MongoDB or Cassandra. Relational vs non-relational databases As we mentioned above, relational or SQL databases are designed for structured or tabular data. Formats belonging to this category include JSON, CSV, and XML files.

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100+ Data Engineer Interview Questions and Answers for 2023

ProjectPro

Differentiate between relational and non-relational database management systems. Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language).