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Maximize Your Project’s Success With the Right Database Selection

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The database management system is chosen depending on the tasks of the business. For example, startups need a quick start with minimal investment. On the other hand, banks need to store data correctly; otherwise, customers may lose their money. Today, I want to talk about how to choose a DBMS for the project, taking into account the company’s needs.

Databases for a Newly Created Company

Problem: The business model of many newly launched businesses may change after entering the market. For example, Facebook was initially created as a social networking site for college students. Still, it has since expanded to become a platform for people of all ages to connect with friends, family, and businesses.

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Building an E-Commerce API Using Nestjs, SQLite, and TypeORM

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Introduction

Nestjs is a cutting-edge Node.js framework for developing server-side applications that are efficient, dependable, and scalable. It is simple to integrate with NoSQL and SQL databases such as MongoDB, Yugabyte, SQLite, Postgres, MySQL, and others. It supports popular object-relational mappers such as TypeORM Sequelize and Mongoose.

In this tutorial, we’ll create an e-commerce application with SQLite and TypeORM. We’ll also look at Arctype, a powerful SQL client and database management tool.

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Cloud Applications Require a Distributed Database

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We are well past the experimental stage with the cloud. It’s become mission-critical, and we have entered a stage where our applications and services need to take advantage of the globally distributed nature of the cloud and deliver on the expectations of our consumers.

Legacy relational databases are simply not built for the cloud. They are difficult to scale in this environment and costly to maintain their uptime. NoSQL stores were built to address legacy limitations; however, they fall short when it comes to providing consistent transactions. They are casually consistent. Some of the most successful global organizations have purpose-built databases that achieve the reliability of the relational store with the benefits of scale and global coverage that comes with the cloud. These databases are a new breed called Distributed SQL.

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3 Reasons to Move Your On-Premise Data Architecture to the Cloud

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Most companies only use 5 to 10 percent of the data they collect. So estimates Beatriz Sanz Sai, a 20-year veteran in advanced analytics and the head of Ernst and Young’s global data and analytics practice. While it’s impossible to validate such a claim, the fact is many organizations are gathering lots of data but analyzing little of it.

Legacy database management systems shoulder much of the blame for this. They hog time and resources for the sake of storing, managing, and preparing data and thus impede analytics.

Source de l’article sur DZONE

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