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How to Normalize Relational Databases With SQL Code?

Analytics Vidhya

If a corrupted, unorganized, or redundant database is used, the results of the analysis may become inconsistent and highly misleading. So, we are […] The post How to Normalize Relational Databases With SQL Code? appeared first on Analytics Vidhya.

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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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Step-by-Step Roadmap to Learn SQL in 2023

Analytics Vidhya

Introduction Structured Query Language is a powerful language to manage and manipulate data stored in databases. SQL is widely used in the field of data science and is considered an essential skill to have if you work with data.

SQL 223
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Top 5 SQL Interview Questions

Analytics Vidhya

Introduction SQL is a database programming language created for managing and retrieving data from Relational databases like MySQL, Oracle, and SQL Server. SQL(Structured Query Language) is the common language for all databases. In other terms, SQL is a language that communicates with databases.

SQL 168
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Free SQL and Database Course

KDnuggets

Get up to speed on SQL and relational databases with this free video course.

SQL 141
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“The Power of SQL in Driving Business Success”

U-Next

For more than 40 years, relational databases have been managed and modified using the programming language SQL (Structured Query Language). Efficient Data Management: The capacity of SQL to effectively manage vast amounts of data is one of its greatest advantages.

SQL 97
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Methods for Running SQL on JSON in PostgreSQL, MySQL and Other Relational Databases

Rockset

Consider the hoops we have to jump through when working with semi-structured data, like JSON, in relational databases such as PostgreSQL and MySQL. JSON is a good match for document databases, such as MongoDB. Now, consider what we have to do to load JSON data into a relational database.