{
  "id": 17088842,
  "title": "Filtering Data in SQL: A Beginner’s Guide to WHERE, AND, LIKE and Friends",
  "url": "https://urgent.news/2026/10/29/filtering-data-in-sql-a-beginners-guide-to-where-and-like-and-friends",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-10-29T16:36:03.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/bise_rahma/filtering-data-in-sql-a-beginners-guide-to-where-and-like-and-friends-516"
  },
  "original_language": "en",
  "account": null,
  "summary": "When you first start writing SQL, pulling data from a database feels like opening a firehose. A basic SELECT * FROM patients; returns every single row in your table. But in real-world data analysis, you rarely want everything at once. You need to target specific insights—such as finding uninsured patients, tracking down records with partial email strings, or filtering by age ranges. The secret to…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}