Mastering SQL Challenges on HackerRank: "Japanese Cities' Names' " Day 6/75 DAY CODING CHALLENGE 😎

Welcome to Awesome data In this video, we're diving into the exciting world of SQL problem-solving on HackerRank. Today, we'll tackle the "Japanese Cities' Names " challenge, providing you with a step-by-step solution and valuable tips to sharpen your SQL skills.

🤔 Imagine you have a massive pile of data that you need to sift through and organize meaningfully. 🔍📊🗄️ It's like trying to find a needle in a haystack, but instead of just one needle, you're looking for hundreds or even thousands of them. 😱 How do you even begin to approach this task? 🤯
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👉 This is where SQL comes in. SQL stands for Structured Query Language, and it is a domain-specific programming language used for managing and manipulating relational databases, is like a magic wand that allows you to manipulate and extract information from large databases with ease. ✨🔮🗄️
With SQL, you can ask complex questions and get answers quickly, saving you time and energy. 💪
SQL is important for data science because it is the most commonly used language for working with relational databases. It allows data scientists to store, integrate, clean, and analyze large volumes of data efficiently. 📊💻🔍
SQL provides a powerful set of tools for data manipulation and analysis, making it an essential skill for any data scientist working with large and complex datasets. By mastering SQL, data scientists can extract more insights from data and make more informed data-driven decisions. 🤓💡🧠

1) SELECT: The SELECT statement retrieves data from one or more tables. It allows you to specify the columns you want to retrieve and can also include aggregate functions to perform calculations on the data.
Syntax:
SELECT column1, column2, ...

FROM table_name;


Example: To see all the columns in the film data in our dvdrent.tar file enter the below command :
Select *

From film;

2) FROM: The FROM clause specifies the table or tables from which to retrieve the data.
Syntax:
SELECT column1, column2, ...

FROM table_name;
3) WHERE: The WHERE clause filters the results based on a specific condition or set of conditions.
Syntax:
SELECT column1, column2, ...

FROM table_name

WHERE condition;
Example: To see the details of DVDs with rental_duration of 6hrs, enter the below command :
Select *

From film

Where rental_duration = 6;

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