Databases and Their Programming Languages: SQL, NoSQL & More
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This is how properties work in Notion. Welcome to Episode 23 of Notion for Dummies. Properties are the information fields inside a Notion database. Think of them like labels that organize your pages. Here are the most common ones 👇 Text — for names or notes. Select — choose one option, like “In Progress.” Multi-select — choose multiple tags. Date — deadlines, schedules, or events. Checkbox — simple yes or no. People — assign tasks to someone. URL — save links. Files & Media — upload images, PDF
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This is how properties work in Notion. Welcome to Episode 23 of Notion for Dummies. Properties are the information fields inside a Notion database. Think of them like labels that organize your pages. Here are the most common ones 👇 Text — for names or notes. Select — choose one option, like “In Progress.” Multi-select — choose multiple tags. Date — deadlines, schedules, or events. Checkbox — simple yes or no. People — assign tasks to someone. URL — save links. Files & Media — upload images, PDF
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SQL vs. NoSQL Databases The choice between SQL and NoSQL impacts how your application stores, scales, and manages data. SQL (Relational Databases) SQL databases use a structured, table-based format with rows and columns. They rely on a predefined schema, meaning you must define the data structure before adding any information. Strengths: Excellent for complex queries, multi-row transactions, and maintaining strict data integrity (ACID compliance). Best Use: Financial systems, accounting software
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SQL vs. NoSQL Databases The choice between SQL and NoSQL impacts how your application stores, scales, and manages data. SQL (Relational Databases) SQL databases use a structured, table-based format with rows and columns. They rely on a predefined schema, meaning you must define the data structure before adding any information. Strengths: Excellent for complex queries, multi-row transactions, and maintaining strict data integrity (ACID compliance). Best Use: Financial systems, accounting software
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I interviewed Charles Feddersen from @Microsoft , and he's been building databases since the Microsoft Access days. Here's what he had to say about AI: ↳ Yes, learn to code. AI is phenomenal at writing code, but you still need to understand how it works. The output is only as good as the person reviewing it. ↳ Databases are the foundation of every AI application being built right now. AI is built on data. More AI means more demand for databases, not less. ↳ The biggest challenge enterprises are
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