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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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How to Install MongoDB on Ubuntu [Step-by-Step]

Knowledge Hut

In case you want to install a different version, you can use the version drop-down menu in the upper-left corner of the MongoDB community page to select the documentation for the required community version. MongoDB is a popular NoSQL database that is open-source and document-oriented. 'NoSQL'

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The Role of Database Applications in Modern Business Environments

Knowledge Hut

Database applications also help in data-driven decision-making by providing data analysis and reporting tools. In this blog, we will deep dive into database system applications in DBMS, and their components and look at a list of database applications. What are Database Applications?

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What is Data Engineering? Skills, Tools, and Certifications

Cloud Academy

The architecture can include relational or non-relational data sources, as well as proprietary systems and processing tools. For example, you can learn about how JSONs are integral to non-relational databases – especially data schemas, and how to write queries using JSON.

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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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The Future of Database Management in 2023

Knowledge Hut

NoSQL Databases NoSQL databases are non-relational databases (that do not store data in rows or columns) more effective than conventional relational databases (databases that store information in a tabular format) in handling unstructured and semi-structured data.

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

AltexSoft

It includes manual data entries, online surveys, extracting information from documents and databases, capturing signals from sensors, and more. It converts raw data collections scattered across the systems into a single schema and consolidates them in a unified repository.