Remove Data Management Remove Non-relational Database Remove NoSQL
article thumbnail

Designing A Non-Relational Database Engine

Data Engineering Podcast

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. Can you describe what constitutes a NoSQL database? SQL database? changed the landscape for NoSQL engines?

article thumbnail

Full Stack Developer Skills, Salary and Jobs

Edureka

Using queries to SQL language and back-end nodes that communicate with databases are essential aspects of this, which form the entire impetus. Two types of databases are used in the development process – Relational Databases: MySQL PostgreSQL Microsoft SQL Server Oracle Database Non-Relational Databases: MongoDB Cassandra 12.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

The Future of Database Management in 2023

Knowledge Hut

Disruptive Database Technologies All existing and upcoming businesses are adopting innovative ways of handling data. Disruptive database technologies are on them. With these technologies, businesses and organizations enhance their data management procedures, upgrade their knowledge, and make better decisions using data.

article thumbnail

5 Use Cases for DynamoDB in 2023

Rockset

Storage of inconsistent schema items If your data objects are required to be stored in inconsistent schemas, DynamoDB can manage that. Automatic data management DynamoDB constantly creates a backup of your data for safety purposes which allows owners to have data saved on the cloud.

article thumbnail

The Role of Database Applications in Modern Business Environments

Knowledge Hut

Database applications have become vital in current business environments because they enable effective data management, integration, privacy, collaboration, analysis, and reporting. It includes the tools and functionality required to create, store, retrieve, and modify data in a database.

article thumbnail

Top 12 Backend Developer Skills You Must Know in 2024

Knowledge Hut

DSA (Data Structures and Algorithms) It's also advised to have a solid understanding of data structures and algorithms if you want to become an excellent backend developer. To avoid memory leaking, effective data management and retrieval are essential. Some of them are PostgreSQL, MySQL, MongoDB, etc.

article thumbnail

Data Engineering Glossary

Silectis

Data Architecture Data architecture is a composition of models, rules, and standards for all data systems and interactions between them. Data Catalog An organized inventory of data assets relying on metadata to help with data management.