Tricky Database Interview Question🤯
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Tricky Database Interview Question🤯
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YouTubeKodeKloud
Las tablas en SQL Server son la base de cualquier base de datos. En esté tutorial aprenderás cómo crear tablas, declarar columnas primarias y tipos de datos correctamente paso a paso. No olvides seguirnos para poder seguir creando más contenido :) #sqlserver #sql #basesdedatos #programacion #aprendersql
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Las tablas en SQL Server son la base de cualquier base de datos. En esté tutorial aprenderás cómo crear tablas, declarar columnas primarias y tipos de datos correctamente paso a paso. No olvides seguirnos para poder seguir creando más contenido :) #sqlserver #sql #basesdedatos #programacion #aprendersql
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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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jom belajar excel, powerbi dan SQL bulan July? boleh guna kod JUNE49 untuk combo 2 kelas to get discount dan JUNE100 untuk combo 3 kelas ya. sesuai untuk semua intern, fresh grad, unemployed, yang menganggur kita akan start belajar dari level basic #dataanalysis #microsoftpowerbi #microsoftexcel #sql #freshgrad #kelasonline
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#sql #тетрадьсмерти #ягамилайт #учёба #врек | light yagami laugh
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🔥Most Asked SQL Interview Questions for Data Analysts | Intellipaat
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Один % убил мой индекс — поиск завис на 8 секунд 🔥 LIKE '%foo%' — это ловушка: процент в начале выключает индекс. На миллионе строк — 5 мс против 8 сек. #sql #postgres #postgresql #backend #python #django #программирование #разработка #databases #performance #sqlacademy
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TikToksql.academy
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Дашборд тормозит 5 секунд на каждой загрузке из-за тяжёлой агрегации? В Postgres это чинится одной командой — без Redis. VIEW не спасёт: это просто сохранённый текст запроса, агрегация гоняется заново каждый раз. А MATERIALIZED VIEW хранит готовый результат на диске — любой SELECT отдаёт его за ~50 мс вместо 5 секунд. В 100 раз быстрее. Нюанс: сам не обновляется — нужен REFRESH (обычно по расписанию). Зато, в отличие от Redis, его можно индексировать, фильтровать в SELECT и джойнить как обычную
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Spark Created 2009 Tasks, But I Only requested for 2000 #databricks #dataengineering
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