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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). Given that it lets organizations efficiently store, retrieve, and analyze massive volumes of data, it has become an essential tool in their daily operations.

SQL 97
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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.

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Top 10 Database Management Skills for Your Resume in 2024

Knowledge Hut

Let's see the top database-related skills you should consider adding to your resume in 2024. Why are Database Management Skills Important? In the current digital era, data has become a crucial asset for businesses in all industries. This is where skills in databases are required.

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A Complete AWS Cheat Sheet: Important Topics Covered

Knowledge Hut

Relational Database Service (RDS): As a component of the relational database, RDS (Relational Database Service) enables the storing of data objects. It makes setting up, running, and scaling well-known relational databases on the cloud simple.

AWS 52
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How to Become an Azure Data Engineer? 2023 Roadmap

Knowledge Hut

The data engineers are responsible for creating conversational chatbots with the Azure Bot Service and automating metric calculations using the Azure Metrics Advisor. Data engineers must know data management fundamentals, programming languages like Python and Java, cloud computing and have practical knowledge on data technology.

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What is DBMS? Types, Components, and Applications

Knowledge Hut

Developed by the famous tech giant Microsoft, SQL Server is a durable DBMS that offers a vast range of features for the management of relational databases. They are used to organize data into different tables, which consist of rows and columns, and follow a relational model.

MySQL 52
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DataOps Architecture: 5 Key Components and How to Get Started

Databand.ai

DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows.