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MAQuick tutorial on LAG() functions 🤓
#dataanalytics #dataanalyst #dataanalysis #data #analyst #sql #windowfunctions #sqlcode #coding #programming #techjobs #breakintotech #wfh #workfromhome #wfhjobs #remotework #remotejobs
@marytheanalyst
#Chars Sql Function Examples
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ARSQL tutorial on left joins #coding #python #computerscience #hoodcoding
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ARTrapping in SQL🏚️ #hoodcoding #python #coding
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CSSQL only has like 10 cmds
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JEAll the new @_snowflake_inc Cortex AISQL functions ⬇️
Save these for later and comment “Snowflake” for the link to the project.
🔥 AI_COMPLETE: Summarizes documents/images
🔥 AI_FILTER: Applies natural language filters in WHERE clause
🔥 AI_SIMILARITY: Semantic similarity comparisons
🔥 AI_AGG: AI-powered aggregations used w/ GROUP BY
Snowflake just announced Cortex AISQL functions, and they’re changing the way we write SQL— ESPECIALLY when it comes to multimodal unstructured data 🥵 Imagine being able to query, summarize, aggregate, and even join on images, documents, and audio transcriptions.
These functions turn the SQL we all know and love into an AI query language that can transform and analyze multimodal data from a variety of data sources (even unstructured 🌶️) using familiar SQL commands. They can be leveraged in WHERE, GROUP BY, and even JOIN with only 1 line of code using an LLM and a natural language prompt. You can even semantically join and fuzzy match across different types of data using LLMs like:
TableA JOIN TableB on AI_FILTER(’natural language text here’)
Think about how useful this will be to match multimodal data sources like resumes with job descriptions… or even customer support emails with bug report screenshots. This is actually an insane advancement in SQL & AI, and I’m SPEECHLESS!!
#SnowflakePartner #SnowflakeSummit #SQL #AI #dataanalytics #datascience #womenindata
@jessramosdata
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COLearn SQL in 60 seconds — follow for the full series!
You’ve grouped your data with GROUP BY… now what?
Use the HAVING clause to filter those groups — just like WHERE, but for aggregated results. 💡
In this quick tutorial, you’ll learn:
✅ The difference between WHERE and HAVING
✅ How to filter grouped data using HAVING COUNT(*) > 5
✅ When to use each in your SQL queries
Perfect for analysts, developers, and anyone turning data into insights.
👉 Follow our page for more daily SQL mini-lessons.
👉 Want hands-on practice? The full interactive SQL course is in our bio.
#SQL #programming #dataanalysis #datascience #dataanalytics #computerscience #learnsql #coding #learntocode #python #java #javascript #tech #developer #codefinity #pythonforbeginners #codefinityreview #codefinitytutorial
@codefinitycom
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W3Curious about SQL select distinct? 🔎
This video will show you how to filter your data and focus on unique values using select distinct.
Watch the video to learn more! 🎥
Have you used SQL select distinct before? Let us know in the comments! ⬇️
#education #learning #technology #w3schools #careers #future #innovation #programming #coding
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SQWhat is GROUP BY in SQL? - Part 1
🔗 Link to full video is in bio!
#learnsql #sql
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REComment SQL and I’ll send you the details of the training!
🚀 FOLLOW NOW @RebellionRider to become SQL pro! 👈
Otherwise, you’ll miss out on learning how to become an AI for Coding Expert💡
🚀 Struggling with duplicate values in your SQL queries? Learn the magic of the DISTINCT keyword to fetch only unique departments from your database effortlessly!
✨ Whether you’re a beginner or an advanced user, this tutorial breaks it all down with practical examples. Say goodbye to messy datasets and hello to clean, precise results.
📺 Ready to level up your SQL game? Watch the video now and unlock the full potential of your queries!
#SQL #DataAnalaysis #30Days30SQL #30days30SQLchallenge
@rebellionrider
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FU⚙️ What is a SQL Function?
Think of SQL Functions as your data’s personal assistants – they process, calculate, and return results with just a simple command!
✅ Predefined commands to perform tasks
🧮 Used for calculations, formatting, stats & more
🔁 Can be used in SELECT, WHERE, ORDER BY, etc.
Examples:
COUNT() – Counts rows
SUM() – Adds values
AVG() – Averages data
UPPER() – Converts text to uppercase
NOW() – Returns current date/time
SQL functions = less code, smarter queries!
👉 Save this for quick revision before your next interview!
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#programming #sql #coding #programmer #developer #technology #computerscience #coder #webdevelopment #softwaredeveloper #programminglife #webdeveloper #computers #database #interviewquestions #nashikkar #dhule #nandurbar #jalgaon #shahada #shirpurcity⬆️ #spdmcollegeshirpur #raisoni #kkwieer #informationtechnology #jobseekers #jobsearch #placements2025
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PRПередача знаний по SQL!
Одна из задач тестировщика любого грейда!
Больше про задачи @protestinginfo
рассмотрим операторы #SELECT , #WHERE , #DISTINCT
Хочу напомнить, что данный язык запросов можно
изучить на сайте
https://www.sql-ex.ru
Оператор SELECT осуществляет выборку из базы данных
Команда DISTINCT позволяет выбирать только уникальные значения из базы данных
Команда WHERE задает условие, по которому будут выбираться строки из базы данных.
SELECT * FROM имя_таблицы
SELECT * FROM имя_таблицы WHERE условие
SELECT поле1, поле2... FROM имя_таблицы WHERE условие
При выборке:
SELECT DISTINCT поле FROM имя_таблицы WHERE условие
При подсчете:
SELECT COUNT(DISTINCT поле) FROM имя_таблицы WHERE условие
При суммировании:
SELECT SUM(DISTINCT поле) FROM имя_таблицы WHERE условие
В запросе можно задавать следующие условия:
• сравнение текста;
• сравнение численных значений;
• логические операции AND (и), OR (или) и NOT (отрицание).
#protestinginfo
#запросы#базаданных#тестированиепо
#тестировщик #тестированиепо #тестировщики #qa #qaengineer #qaengineers #войтивайти #тестирование #войтивit #курсыпотестированию #тестировщикпо #тестировщикснуля#тестировщица#тестирование#наставник#juniorqa#junior#middleqa#seniorqa#aqa#leadqa#automationqa
@protestinginfo
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