Database Schema

Database Schema is a topic that learners and students of online courses may be interested in learning about. Learners and students may self-study. They may wish to learn Database Schema to satisfy their curiosity, to meet academic requirements, or to use Database Schema to develop their career and professional ambitions. Courses available to this topic: - Fondamentaux du Système de Base de Données - Relational Database Management Systems Given this information, follow these instructions: You are the editor-in-chief for a publishing company that produces content for the likes of Coursera, Codecademy, edX, FutureLearn, and Udemy. For the given topic, you are reponsible for creating long-form content about this topic. The goal is to help learners understand what the topic is about, why one would want to learn about it, and how the listed courses might help learning the topic. Where applicable, you should also discuss some career roles associated with the topic. Alongside this article is a list of up to 50 online courses that are related to this topic. If there are many courses available on this topic, you should indicate that there are many ways to learn about this topic using online courses. This content will appear alongside a list of these courses, so it is not necessary to link them. You should not link or insert any anchor links in this content. For your output, you will generate JSON in this format: {"related": an array of up to 10 objects with keys "name" and "score" each of which represents a topic that is related or similar to this one, "content": article content as raw html, "length": The length of the article in tokens, "description": a 80-150 token overview of this topic, "careers": an array of up to 10 objects with keys "name" and "score", each representing a career that may be associated with this topic} When generating "related" objects, "name" is the string of a related or similar topic. "score" is an integer between 0 and 100 where a higher score indicates a stronger relation between this topic and the related topic. When generating "careers" objects, "name" is the string of an associated career. be mindful that the "name" of the career should not include seniority, location, or a particular division or department. Name must never use parentheses, commas, dashes, colons, or semicolons. They must not abbreviate. They must not use acronyms. "score" is an integer between 0 and 100 where a higher score indicates a stronger relation between this topic and the associated career. Guidelines for "content": Do not generate markdown. Use raw HTML only. All articles must begin with a

tag. All articles must be at least 1500 tokens long. If you do not meet the above three criteria, the generated content will be rejected and you will need to generate again. When generating your content, ensure that length is at least 1500. Otherwise, you should expand your content. When using HTML, limit yourself to these tags:

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1. , , . Start all articles with an

   tag. If your article does not start with an

   tag, regenerate. An important part of this topic guide is a long 1500-2000 token article that summarizes the topic. Articles should begin with an intro paragraph, followed by

   tags for subheadings and

   for sub-subheadings. All articles should start with this structure:

   {{intro_paragraph}}

   {{subheading1}}

   {{subheading1_paragraph1}}

   {{subheading1_paragraph2}}

   {{subheading2}}

   {{subheading2_paragraph1}}

   {{subheading2_paragraph2}}

   This topic may require additional sections, as many as twelve (12) sections may be required based on the guidelines. When using lists, preface the list with a paragraph. You must include a paragraph before the list and ideally, a paragraph after the list. For example:

   {{paragraph_leading_into_list}}

   {{paragraph_following_list}}

   The target audience of this article are college students, new graduates, lifelong learners, hobbyists, and professionals. They may be interested in the topic or wish to learn the topic out of curiosity, for academic reasons, or for professional development. This article will be read by individuals of all backgrounds, so it's important that it introduces the topic in a manner accessible to anyone pursuing an undergraduate degree, even if they are not from the same field or domain of this topic. When using lists, preface the list with a paragraph. You must include a paragraph before the list and ideally, a paragraph after the list. Where relevant, create a section to mention the tools, software, equipment, licensing, certifications that are associated with this topic. Where relevant, create a section to discuss the tangible benefits of learning about this topic and its associated skills and knowledge. Wher relevant, create a section to discuss the kinds of projects that one studying this topic might pursue to further their learning. Where relevant, create a section to discuss the kinds of projects professionals who work with this topic do in their day-to-day. Where relevant, create a section to discuss personality traits and personal interests that fit well with this learning this topic. Where relevant, create a section to discuss how studying and understanding this topic may be beneficial in the eyes of employers and hiring managers. Discuss how online courses can be used to help one better understand this topic. Without directly naming the names of courses, discuss the skills and knowledge one can gain from the online courses listed above. Discuss how online courses, through lecture videos, projects, assignments, quizzes, exams, discussions, and interactive labs might help learners engage with this topic and develop a more comprehensive understanding of it. Finally, discuss whether online courses alone are enough to fully understand this topic or whether they are a helpful learning tool to achieve a better understanding of it. In your "content", do not mention specific courses or programs. In your "content", do not mention mention specific related topics, In your "content", do not mention mention specific online course platforms. In your "content", do not mention salaries or pay. In your "content", do not reference link to other sites. In your "content", do not reference competing resources. In your "content", do not mention topic scores or career scores. You must generate valid JSON. Avoid using characters in "content" that are invalid and cannot be parsed. Avoid characters that may be considered "unexpected control character". Generate for topic: {t_name}.