Node Js Handwritten Notes💡
https://coderbaba.gumroad.com/l/nodejs

best DSA Resource
https://drive.google.com/drive/folders/14786Md4FyFngju0V5O4GmT_SgN6Wt61j?usp=drive_link

Crack Your SQL Server Interview: 50 Questions Explained & Asked by MANG & FAANG Companies
https://youtu.be/oGhO-6ZB4vw

Crack Your SQL Server Interview: 50 Questions Explained & Asked by MANG & FAANG Companies
https://youtu.be/oGhO-6ZB4vw

Are you preparing for an SQL interview? Here are some essential SQL questions to help you ace your next interview! 👨‍💻📊
🔍 Basic SQL Concepts:
📌 Explain the difference between SQL and NoSQL databases.
📌 What are the common data types in SQL?
📋 Querying:
📌 How do you retrieve all records from a table named "Customers"?
📌 What is the difference between SELECT and SELECT DISTINCT in a query?
📌 Explain the purpose of the WHERE clause in SQL queries.
🔗 Joins:
📌 Describe the types of joins in SQL (INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN).
📌 How would you retrieve data from two tables using an INNER JOIN?
📊 Aggregate Functions:
📌 What are aggregate functions in SQL? Can you name a few?
📌 How do you calculate the average, sum, and count of a column in a SQL query?
🔍 Grouping and Filtering:
📌 Explain the GROUP BY clause and its use in SQL.
📌 How would you filter the results of an SQL query using the HAVING clause?
🔄 Subqueries:
📌 What is a subquery, and when would you use one in SQL?
📌 Provide an example of a subquery in an SQL statement.
🔧 Indexes and Optimization:
📌 Why are indexes important in a database?
📌 How would you optimize a slow-running SQL query?
📚 Normalization and Data Integrity:
📌 What is database normalization, and why is it important?
📌 How can you enforce data integrity in a SQL database?
⚙️ Transactions:
📌 What is a SQL transaction, and why would you use it?
📌 Explain the concepts of ACID properties in database transactions.
📋 Views and Stored Procedures:
📌 What is a database view, and when would you create one?
📌 What is a stored procedure, and how does it differ from a regular SQL query?
🔥 Advanced SQL:
📌 Can you write a recursive SQL query, and when would you use recursion?
📌 Explain the concept of window functions in SQL.
📌 For more SQL insights and tutorials, follow #coderbaba and stay tuned for more updates! 💡
#SQL #SQLServer #Database #InterviewPreparation #Coding #Programming
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Mastering CHAR, VARCHAR and NVARCHAR Data type in SQL: What 90% of Developers Get Wrong in SQL Server
video Link: https://youtu.be/gwtideAuxSc

👇👇👇download complete PDF notes:👇👇👇👇

Mastering CHAR, VARCHAR and NVARCHAR Data type in SQL: What 90% of Developers Get Wrong in SQL Server
https://youtu.be/gwtideAuxSc
👇👇👇download complete PDF notes:👇👇👇👇

SQL Server Best Practices: Clarifying the Difference Between CHAR, VARCHAR and NVARCHAR
https://youtu.be/gwtideAuxSc

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https://youtube.com/shorts/fglhfPpx9Q4

🔍 SQL Server Database Constraints Demystified: Boosting Data Integrity and Efficiency 🔍
Understanding database constraints is pivotal for ensuring robust data integrity and improving efficiency in SQL Server. Here's a quick rundown of the key types of constraints every developer should be familiar with:

📌 Types of Constraints:
1-Default constraint
2-Not Null constraint
3-Primary key constraints
4-Foreign Key constraints
5-Unique Key constraints
6-Check constraint
Implementing the right constraints can significantly enhance the reliability and performance of your database. Stay tuned for more insights and best practices! 🚀
Link: https://youtu.be/7gjPhqpRvB0



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Become Full Stack Developer in just
steps: 👇👇

Step 1: Learn HTML & CSS
Step 2: Learn Java Script
Step 3: Learn React, Node JS
Step 4: MySql
Step 5: MongoDB
Step 6: Git Commands
Step 7: Build Projects & Push on GitHub
Step 8: Practice, Practice & Practice

🚀 Essential SQL Tips for Beginners! 🚀

Diving into the world of SQL? Here are some vital tips to kickstart your journey and enhance your SQL skills! 👩‍💻👨‍💻

🔹 Primary Key = Unique Key + Not Null constraint 🗝
🔹 Perform case-insensitive search using UPPER() function:
UPPER(customer_name) LIKE 'A%A'
🔹 LIKE operator is for string data types 🧵
🔹 COUNT(*), COUNT(1), COUNT(0) are all equivalent 🧮
🔹 Aggregate functions ignore NULL values 🚫
🔹 MIN, MAX, SUM, AVG, COUNT are for int data types; STRING_AGG is for string data types 📊
🔹 For row-level filtration use WHERE; for aggregate-level filtration use HAVING 🕵️‍♂️
🔹 UNION ALL includes duplicates; UNION excludes duplicates 🔄
🔹 Use UNION ALL if results won't have duplicates 🚫
🔹 Alias the subquery if using columns in the outer select query 📝
🔹 Subqueries can be used with NOT IN condition 🔄
🔹 CTEs are visually better than subqueries; performance-wise they're equivalent 📈
🔹 When joining two tables with one having only one value, use 1=1 for a CROSS JOIN 🤝
🔹 Window functions operate at the ROW level 🪟
🔹 RANK() vs DENSE_RANK(): RANK() skips rank if values are the same 🏅
🔹 EXISTS works on true/false conditions; if the query returns at least one value, the condition is TRUE ✅

👉 If you found these tips helpful, give it a like! 😄
For more insights and updates, follow me and stay tuned!
🌐Link: https://youtu.be/7gjPhqpRvB0
#SQLTips #BeginnerGuide #DatabaseManagement #TechInsights 📚🔍🔥
#CoderBaba #SQLQueries

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🚀 Few Ways to Optimize SQL Queries 🚀

SQL performance lagging? Here are some proven strategies to supercharge your SQL queries! 👇👇

🔍 Use Indexing:
Proper indexing of your database tables can turbocharge query performance by swiftly locating the necessary rows. 📊

⚙️ Optimize Joins:
Cut down the number of joins and choose the right join types (e.g., INNER JOIN, LEFT JOIN) for efficient data retrieval. 🔄

🚫 **Avoid SELECT ***:
Skip selecting all columns using SELECT *, and only fetch the columns you need to trim down unnecessary data transfer and processing. 📑

🎯 Use WHERE Clause Wisely:
Shrink the dataset size by filtering rows early with the WHERE clause before joining or aggregating data. 🧩

🔄 Avoid Subqueries:
Transform subqueries into JOINs or use Common Table Expressions (CTEs) for a performance boost. 📊

🔖 Limit the Use of DISTINCT:
Reduce the use of DISTINCT to prevent resource-heavy sorting and duplicate removal, especially for large datasets. 🚫

🔢 Optimize GROUP BY and ORDER BY:
Use GROUP BY and ORDER BY clauses thoughtfully, leveraging indexed columns to skip unnecessary sorting. 📑

📦 Consider Partitioning:
Divide large tables across multiple nodes to enhance query performance by minimizing I/O operations. 🚀

🔍 Monitor Query Performance:
Regularly check query performance using tools like query execution plans, database profiler, and performance monitoring tools to pinpoint and tackle bottlenecks. 🛠

Hope it helps! 🙂
Like for more insightful tech tips and tricks! 😄😄
Follow @coder_baba
#SQLOptimization #DatabasePerformance #TechTips #SQLQueries #DatabaseManagement #CoderBaba 🌐💼🔥

🔍 Is Java a Fully Object-Oriented Programming Language? 🤔
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📚 Arrays: All You Need to Know! 🚀

Dive into the world of arrays with these essential questions and programs! 🧠

1️⃣ Print Array even & odd numbers: Separate the odds from the evens! 🔢
2️⃣ Find Array length: Discover the size of your array! 📏
3️⃣ WAP to print array in reverse order: Flip the array! ↩️
4️⃣ WAP to copy one element to a second array: Duplicate with ease! 🔄
5️⃣ WAP to find an element present or not in an array: Search and discover! 🔍
6️⃣ WAP to find the average of a given array: Calculate the mean! 📈
7️⃣ WAP to print array elements in ASC or DESC order: Organize your array! 📊
8️⃣ WAP to find the biggest & smallest elements in an array: Identify the extremes! 📌
9️⃣ WAP to insert an element in an array: Add to your array! ➕
🔟 WAP to delete an element from an array: Remove unwanted elements! ❌
1️⃣1️⃣ WAP to print a 2D matrix: Visualize the matrix! 🎨
1️⃣2️⃣ WAP to add two 2D matrices: Combine matrices! ➕

📌 Bonus Questions:

WAP to find the sum of all elements in an array.
WAP to sort the array without using any built-in function.
WAP to find duplicate elements in an array.
Mastering arrays is essential for every programmer! 💡

👉 Follow me @coder_baba for more programming insights and challenges! 🚀

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