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Belajar SQL Dasar: Menggunakan WHERE seperti Filter Excel

Pelajari cara pakai klausa WHERE di SQL untuk memfilter data—penjelasan sederhana untuk Data Analyst & Programmer. Ketik “SQL” di komentar untuk lanjutan. #sql #postgresql #dbeaver #dataanalyst #datascience Ubit(@ahmadmuhbit). original sound - Ubit. Belajar SQL ternyata nggak sesulit yang dibayangkan 🚀 Kalau di Excel kita punya Filter ...

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SQL Server Installation

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Upcoming Job Oriented Training Batches SQL School July 2026

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What to Focus On as a Data Analyst: Top Skills to Learn

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SQL Server Tutorial

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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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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 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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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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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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