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Thanks for sharing this SQL cheat sheet! It's really useful for my data engineering tasks in Python. I've been experimenting with CTEs and stored procedures – any tips for integrating with pandas? #SQLFunctions #Python #BigData
Essential functions every data analyst should know.. Open the thread🧵 1. SQL Functions #sqlfunctions
Type 4: Source Comes from a literal or function, not an upstream model SELECT CURRENT_TIMESTAMP AS created_at 📍 created_at doesn’t rely on any input column #etl #sqlfunctions #datapipelines
DataKliq SQL Challenge - Day 11! Which SQL function is used to handle NULL values? 🤔 Drop your answer in the comments! ⬇️ #DataKliq #SQLChallenge #SQLFunctions
🔍 Quick SQL Tip: Using the TRIM() Function 🔍 Check out my latest video to learn how the TRIM() function works and see it in action! 👉 youtube.com/shorts/EwAju6n… #SQL #DataScience #SQLFunctions #DataCleaning #TechTips #Database
SQL Functions for #Encrypting and Decrypting Large text fields @PieterVeenstra bit.ly/4gDEUCe #SQLFunctions #PowerApps #Decrypting
You will need to clean data in an extensive manner when you are working as a data analyst. Generally, you will be using SQL for data cleaning as a data analyst. Let's discuss that in this thread. #DataCleaning #SQLFunctions #DataQuality #SQLTips #DataPreparation #SQLSkills…
SELECT AVG(Salary) AS AvgSalary FROM Employees; This query calculates the average employee salary key for data analysis! Note: The alias (As AvgSalary) is the name of the new column created. #DataAggregation #SQLFunctions #DataScience
Learning SQL, one step at a time! Just wrapped up Data Manipulation Language and functions, mastering tools that make data handling precise and impactful. Eager to keep pushing forward in the world of databases! #DataAnalytics #SQLFunctions
7/ Working with Different Data Types: String Functions: CONCAT(), SUBSTRING(), LOWER() Date/Time Functions: DATE_ADD(), DATEDIFF() Numeric Functions: ROUND(), ABS(), CEILING() Mastering these expands your data manipulation toolkit. #SQLFunctions
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