Remove Non-relational Database Remove NoSQL Remove SQL
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Designing A Non-Relational Database Engine

Data Engineering Podcast

The default association with the term "database" is relational engines, but non-relational engines are also used quite widely. In this episode Oren Eini, CEO and creator of RavenDB, explores the nuances of relational vs. non-relational engines, and the strategies for designing a non-relational database.

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10 MongoDB Mini Projects Ideas for Beginners with Source Code

ProjectPro

MongoDB Inc offers an amazing database technology that is utilized mainly for storing data in key-value pairs. It proposes a simple NoSQL model for storing vast data types, including string, geospatial , binary, arrays, etc. The underlying model is the crucial conceptual difference between MongoDB and other SQL databases.

MongoDB 66
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How To Choose Right AWS Databases for Your Needs

ProjectPro

They include relational databases like Amazon RDS for MySQL, PostgreSQL, and Oracle and NoSQL databases like Amazon DynamoDB. Database Variety: AWS provides multiple database options such as Aurora (relational), DynamoDB (NoSQL), and ElastiCache (in-memory), letting startups choose the best-fit tech for their needs.

AWS 40
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How to Become A Data Modeler in 2025?

ProjectPro

The data modeler builds, implements, and analyzes data architecture and data modeling solutions using relational, dimensional, and NoSQL databases. Knowing how database systems operate allows data modelers to perform their tasks using standard business tools more quickly and effectively. What does a Data Modeler do?

NoSQL 40
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100+ Big Data Interview Questions and Answers 2025

ProjectPro

Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. NoSQL, for example, may not be appropriate for message queues. When is it appropriate to use a NoSQL database? When working with large amounts of data, NoSQL databases are an excellent choice.

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20 Best Open Source Big Data Projects to Contribute on GitHub

ProjectPro

With SQL, machine learning, real-time data streaming, graph processing, and other features, this leads to incredibly rapid big data processing. DataFrames are used by Spark SQL to accommodate structured and semi-structured data. DataFrames are used by Spark SQL to accommodate structured and semi-structured data.

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100+ Data Engineer Interview Questions and Answers for 2025

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).