10th day of the #HTTDatachallange knowing the basics is one thing putting it to actual use and answering those questions is another, i retrieved the "name" column from the "Account" table to give a detailed result. #SQLBasics #SQLSorting

9th day of the #HTTDatachallange started off with SQL basics, i ran my first Query on a real data base to create my Tables and Retrieve all Colums in (Account) Table. SQL helps turn the raw dataset into meaningful insights and also answer the business questions. #SQLBasics

I’m early today😂🤭 Day 9 of the @hertechtrail #HTTDataChallenge task is to retrieve all column from any specific table I used the commands SELECT * FROM region; Result = 4 rows and 2 columns SELECT * FROM accounts; Result = 351 rows and 7 columns #SQLQuery #SQLBasics

SQL هي لغة التحليل الحقيقية للبيانات الكبيرة! 🔥 ما تحتاج تعقيد في البداية. ابدأ بهذي الأوامر الأساسية فقط، وبتقدر تبني أي تقرير بسيط بسرعة: - SELECT → اختيار الأعمدة اللي تبيها - FROM → من أي جدول - WHERE → فلترة البيانات حسب الشروط - ORDER BY → ترتيب النتايج (تصاعدي أو تنازلي) هذي الأربعة لوحدها تكفيك تبدأ وتشتغل كـ Analyst حقيقي. #SQL #تحليل_البيانات #DataAnalyst #SQLBasics

☕𝗖𝗵𝗮𝗶 𝗔𝘂𝗿 𝗦𝗤𝗟 - Yesterday's #Cohort Class Recap! We unpacked some serious DB & SQL fundamentals. Quick thread so you can revise or catch up 🔥 Let’s break it down one by one 👇 🧵/n #ChaiAurSQL #SQLBasics

DAY 6: DOCUMENTING MY SQL PROGRESS: Window Functions. Another day at the office, Chads. Today is proof that I need to improve with window functions. Throughout this daily documentation, I have decided to use CHATGPT sparingly. As a result, I am left to think deeply about the solutions to particular tasks and instructions. Without further ado, let's dive in... --FRAME 1-- Query 1: The purpose of this query is to calculate the total revenue per date. This is tantamount to saying how much was sold per day. I wrote one CTE to first compute the total sales on each day. Then I wrote a query to group these totals (total_sales) by dates. Pretty straight forward to explain, but this took too long to figure out. For the longest time, I was actually calculating the sum of orders and grouping by the total amount of orders. Glad I figured it out eventually. I also did not know I could substitute the ''RANK()" syntax for the particular computation we seek to partition and order In this case, that is the SUM(total_sales). Lesson learnt! Onward. --FRAME 2-- Query 2: The purpose of this query was to rank each product by its average rating, compared to the average rating of other products in its category. This required a JOIN of the products and reviews table. Then I calculated the avg rating of each product all in the CTE. I proceeded to use the 'DENSE_RANK' function in the outer query. This allowed me to group products in the same category together, and rank their avg_rating compared to other products in the category. I have noticed that supposedly queries could prove difficult, while supposedly difficult ones have the propensity to come easy. This is perhaps due to top-down processing on my part. I should round up window functions tomorrow. Kindly give feedback, corrections and suggestions. I really need and appreciate it. See you tomorrow, Chads!! 🤲🏾🤲🏾 #DataScience #Analytics #SQLServer #sqlbasics #sqlwithTimi #oracledatabase

🪟 Q: 1321. Restaurant Growth 🪟 @LeetCode Ig the Best LC Problem to really try & figure out how SQL Window Functions work!! ( especially the Window Frame clause...rows/range part 👀) #sqlbasics #sqlbeginner #leetcodeproblems #LeetCode leetcode.com/problems/restau…

One of the Best Pieces of Content on 'SQL Window Function' for Noobs !! W @_Produde_ 🌟 ! It doesn’t dive deep into the window frame clause, but it’ll help you see how window functions work for each row... #SQL #sqlknowledge #sqlbasics #sqlbeginner medium.com/learning-sql/sql-…

Day 1 of the IDC 21 Days of SQL Challenge organized by @indiandataclub @dpdzero #SQLWithIDC Brushed up the SQL - SELECT , filtering , distinct #SQL #sqlbasics

Writing SQL code made easy 🚀#SQL #SQLServer #sqlbasics #sqldeveloper

MEMORY_ALLOCATION_EXT is one such wait type that frequently confounds database managers. Check all the details to avoid MEMORY_ALLOCATION_EXT: madesimplemssql.com/memory-a… #sql #sqlserver #sqlknowledge #sqlbasics #patlama #data #database #madesimplemssql @MadeSimpleMSSQL @QuerySurge

It’s Day 9 of our challenge and we have 6 more days to gooooo 🥳🎉💃 Today’s challenge is about: SQL Basic Query First of all, what is SQL??? SQL is a Structured Query Language. Thank you @phaibooboo, @it_is_reel, @preciey_oma, @gbonna42449096 🎉 #HTTDataChallenge #SQLBasics

📅 Day 18 of #100DaysOfDataAnalysis SQL isn’t just code, it’s how we think about data 🧠📊 🧱 Slide 1: The structure (tables, rows, columns) 🖥️ Slide 2: The real thing in MySQL Start with structure. Query with clarity. 💡 #LearnSQL #SQLBasics #RelationalDatabase #DataDesign

MYSQL and NODE-JS || HTML Tutorial || HTML Beginner || MELS Coding | youtube.com/watch?v=1jjM77UM… #JavaScript #MELS #HTML #Database #SqlTutorial #SqlBasics #SqlForBeginners #MySQL #Server #MELSSTEM #MELSCoding #MachineLearning #AI #EssentialSkills #STEAM #DeepLearning #nodejs

📜 SQL Cheat Sheet 🔍 Fetching Data (SELECT) SELECT * FROM table_name; SELECT column1, column2 FROM table_name; SELECT DISTINCT column FROM table_name; _____________________________________________________ 🎯 Filtering Data (WHERE) SELECT * FROM users WHERE age > 25; SELECT * FROM orders WHERE status = 'delivered'; _____________________________________________________ 🧩 Multiple Conditions (AND, OR, NOT) SELECT * FROM users WHERE age > 25 AND city = 'Delhi'; SELECT * FROM products WHERE price < 500 OR stock > 50; SELECT * FROM employees WHERE NOT department = 'HR'; _____________________________________________________ 🔢 Sorting Results (ORDER BY) SELECT * FROM employees ORDER BY salary DESC; SELECT * FROM products ORDER BY price ASC, name DESC; _____________________________________________________ 🎛 Limiting & Skipping (LIMIT, OFFSET) SELECT * FROM products LIMIT 5; SELECT * FROM orders LIMIT 10 OFFSET 5; _________________________________________________________ 🏗 Grouping Data (GROUP BY, HAVING) SELECT department, COUNT(*) FROM employees GROUP BY department; SELECT category, AVG(price) FROM products GROUP BY category HAVING AVG(price) > 100; _________________________________________________________ 🏆 Aggregations (COUNT, SUM, AVG, MIN, MAX) SELECT COUNT(*) FROM users; SELECT SUM(price) FROM orders; SELECT AVG(salary) FROM employees; SELECT MIN(age), MAX(age) FROM users; _____________________________________________________ 🔄 Joining Tables (JOIN) 👫 Inner Join SELECT users.name, orders.amount FROM users INNER JOIN orders ON users.id = orders.user_id; _____________________________________________________ 📌 Left Join SELECT users.name, orders.amount FROM users LEFT JOIN orders ON users.id = orders.user_id; _________________________________________________________ 📌 Right Join SELECT users.name, orders.amount FROM users RIGHT JOIN orders ON users.id = orders.user_id; _____________________________________________________ 🔗 Full Join SELECT users.name, orders.amount FROM users FULL JOIN orders ON users.id = orders.user_id; _____________________________________________________ 🏗 Creating & Modifying Tables 🆕 Creating a Table CREATE TABLE users ( id INT PRIMARY KEY, name VARCHAR(100), age INT, city VARCHAR(50) ); _____________________________________________________ 🔧 Altering a Table ALTER TABLE users ADD COLUMN email VARCHAR(100); ALTER TABLE users DROP COLUMN city; _____________________________________________________ 📝 Modifying Data ➕ Inserting Data INSERT INTO users (id, name, age) VALUES (1, 'Amit', 30); _____________________________________________________ 🛠 Updating Data UPDATE users SET age = 31 WHERE id = 1; _____________________________________________________ ❌ Deleting Data DELETE FROM users WHERE id = 1; DELETE FROM users; -- Delete all rows _____________________________________________________ 🏛 Indexes & Keys 🔑 Primary Key CREATE TABLE users ( id INT PRIMARY KEY, name VARCHAR(100) ); _____________________________________________________ 🔑 Foreign Key CREATE TABLE orders ( id INT PRIMARY KEY, user_id INT, FOREIGN KEY (user_id) REFERENCES users(id) ); _____________________________________________________ 🚀 Creating Index CREATE INDEX idx_name ON users(name); _____________________________________________________ 📜 Subqueries & Unions 🔄 Subquery SELECT name FROM users WHERE id IN (SELECT user_id FROM orders); _____________________________________________________ 🔗 Union (Combine Results) SELECT name FROM customers UNION SELECT name FROM suppliers; SELECT name FROM customers UNION ALL SELECT name FROM suppliers; -- Includes duplicates _____________________________________________________ 🔥 Transactions BEGIN TRANSACTION; UPDATE accounts SET balance = balance - 500 WHERE id = 1; UPDATE accounts SET balance = balance 500 WHERE id = 2; COMMIT; -- Save changes ROLLBACK; -- Undo changes #SQL #SQLTutorial #LearnSQL #SQLQueries #SQLCheatSheet #Database #DataScience #Programming #Tech #Code #SQLForBeginners #SQLBasics #SQLTraining #LearnToCode #CodingForBeginners #AdvancedSQL #SQLPerformance #SQLOptimization #SQLBestPractices #SQLDatabase #MySQL #PostgreSQL #SQLServer #OracleSQL #NoSQL #DataAnalytics #SQLForDataScience #BusinessIntelligence #BigData #DataVisualization

I was tasked with writing an SQL query to retrieve all columns from any of the tables Below is a snippet of my work #hertechtrailacademy #SQLBasics #SQLQuery @hertechtrail @phaibooboo @it_is_reel @preciey_oma @ogbonna42449096 @som_nnamani @mychailblaise @AtiJoshua

Today I will be using a simple SQL query to retrieve all columns in a table called accounts which is stored in the database. SQL query used: SELECT * FROM accounts; #hertechtrailacademy #HTTDataChallenge #SQLBasics #SQLQuery @tech_bella @it_is_reel

I was tasked with writing an SQL query to retrieve all columns from any of the tables. Below is a snippet of my query and the results👇 #SQLBasics #SQLQuery @hertechtrail @phaibooboo Stay tuned for Day 10 as I dive deeper into exploring this dataset and writing more queries!🚀

SQL Basics: The Complete Resource List ➡️ bit.ly/3Ay1e0K Learn Basic SQL statements like SELECT, INSERT, UPDATE, and DELETE for free with an extensive list of resources by LearnSQL.com ➡️ bit.ly/3Ay1e0K #sql #learnSQL #SQLbasics

Set Tables in MySQL and Manage Directories in Linux (Set 1/3) || Data base || HTML || Linux || youtube.com/watch?v=iKe1rh-9… #Jquery #JavaScript #MELS #STEM #HTML #Query #Database #SqlTutorial #SqlBasics #SqlForBeginners #MySQL #Server #MELSSTEM #MELSCoding #MachineLearning #AI