Ready to master SQL and ace your dream job interview? Dive into "Grokking the SQL Interview," your passport to SQL expertise! Uncover the secrets to crafting powerful queries, mastering joins, and acing real-world SQL interviews?
Are you on the brink of a career in data analytics, database administration, or software development? Perhaps you're gearing up for a crucial job interview that hinges on your SQL skills. If so, "Grokking the SQL Interview" is your essential companion on the path to SQL mastery and interview success.
As a Java developer who has cleared SQL interviews, I can attest that SQL interviews are not easy, given the vast nature of SQL and the variety of concepts and topics it covers. When I was preparing for Java interviews, I was looking for a resource where I learn and prepare SQL questions from a programmer’s perspective rather than a DBA, but I couldn’t find any. Grokking the SQL Interview is my effort to fill that gap and become an excellent resource for anyone looking to master SQL and prepare for SQL interviews.
Whenever I prepare for Java Interview, I always prepare about SQL and Linux; these are everywhere. That’s why I decided to cover essential topics from an interview perspective when I thought to write about this book. The book covers a wide range of topics, starting with the basics of SQL and database design, and progressing to more advanced topics like SQL queries, joins, indexes, group-by and aggregate functions, stored procedures, triggers and views, database normalization, transactions, window functions, and common interview questions.
One of the best things about this book is that it includes many real-world SQL questions commonly asked in job interviews. This means that by studying the questions and answers in this book, you will be well-prepared for any SQL interview.
Unlock the Power of SQL
SQL (Structured Query Language) is the cornerstone of modern data management and analysis. It's the language that empowers you to interact with and extract valuable insights from vast databases. Whether you're pursuing a role as a data analyst, database administrator, or software engineer, a solid grasp of SQL is non-negotiable.
Your Passport to Interview Success
In today's competitive job market, SQL interviews are a ubiquitous hurdle in landing your dream job. Employers across industries rely on SQL interviews to assess a candidate's ability to work with data effectively. That's where "Grokking the SQL Interview" comes in to help you shine.
What You'll Find Inside
Our book is meticulously crafted to equip you with the knowledge and confidence needed to excel in SQL interviews. It covers a comprehensive range of SQL concepts, from the fundamental building blocks to advanced querying and optimization techniques. Here's a glimpse of what you'll discover
Foundations of SQL: Start with the basics, mastering SQL syntax, data types, and database design principles.
Querying Databases: Learn to craft SQL queries that retrieve the precise data you need, no matter how complex the database structure.
Mastering Joins: Understand how to combine data from multiple tables, a critical skill for querying real-world databases.
Subqueries and Aggregations: Dive deep into subqueries and aggregates to manipulate and summarize data effectively.
Data Manipulation: Learn how to insert, update, and delete data with precision while maintaining data integrity.
Performance Optimization: Discover strategies to optimize your SQL queries for faster and more efficient data retrieval.
Real-world Scenarios: Apply your SQL skills to real-world scenarios, ensuring you're interview-ready.
Why "Grokking the SQL Interview" Stands Out
What sets our book apart is its hands-on approach to learning. You won't just read about SQL concepts; you'll practice and apply them. We've packed the book with practical examples, coding exercises, and SQL interview questions to hone your skills. The goal is not just to help you pass interviews but to make you a proficient and confident SQL practitioner.
Who Should Read This Book?
Job Seekers: If you're preparing for SQL interviews in your job search, this book is your secret weapon.
Students: Whether you're pursuing a degree in computer science or data science, mastering SQL is a valuable skill that will set you apart.
Professionals: For those looking to upskill or advance their careers, a deeper understanding of SQL can open new doors.
Get Ready to Grok SQL!
"Grokking the SQL Interview" is your trusted guide to conquering SQL interviews and unlocking exciting career opportunities in the data-driven world. Whether you're a beginner looking to build a solid foundation or an experienced practitioner aiming to sharpen your skills, our book is designed to meet you where you are on your SQL journey.
Prepare to grok SQL like never before. Your journey to SQL mastery starts here.
Ready to embark on this adventure? Order your copy now and get ready to grok SQL!
Author(s): Javin Paul
Publisher: Leanpub
Year: 2023
Language: English
Pages: 281
Table of Content
Overview
Why Prepare for SQL and Database for Interviews?
How to prepare SQL for Interviews?
Which SQL and Database topics to Prepare for Interviews?
CHAPTER 1:
SQL and Database Telephonic Interview Questions
Question 1
1. UNION:
2. UNION ALL:
Example:
1. employees table:
2. contractors table:
1. Using UNION:
Result:
2. Using UNION ALL:
Result:
Question 2
1. WHERE Clause:
2. HAVING Clause:
Example:
1. Using WHERE clause:
Result:
2. Using HAVING clause:
Result:
Question 3
1. Clustered Index:
Example:
2. Non-Clustered Index:
Example:
Question 4
Question 5
Question 6
1. Non-Correlated Subquery:
2. Correlated Subquery:
Question 7
Question 8
1. PRIMARY Key Constraint:
Example:
2. UNIQUE Key Constraint:
Example:
Question 9
1. View:
2. Materialized View:
Question 10
1. TRUNCATE:
2. DELETE:
3. DROP:
Question 11
1. Primary Key - Foreign Key Relationship:
2. Maintaining Data Integrity:
3. Enforcing Constraints:
4. Cascading Actions:
Question 12
Normalization Process:
Step 1: First Normal Form (1NF)
Step 2: Second Normal Form (2NF)
Step 3: Third Normal Form (3NF)
Step 4: Boyce-Codd Normal Form (BCNF)
Step 5: Fourth Normal Form (4NF)
Step 6: Fifth Normal Form (5NF)
Question 13
1. First Normal Form (1NF):
2. Second Normal Form (2NF):
3. Third Normal Form (3NF):
Question 14
1. ISNULL() Function:
2. COALESCE() Function:
Question 15
Question 16
1. CHAR Data Type:
Example of CHAR:
2. VARCHAR Data Type:
Example of VARCHAR:
Question 17
Question 18
Question 19
Question 20
Example:
Example:
Question 21
Question 22
Explanation:
Question 23
1. COUNT(*):
Example:
2. COUNT(1):
Example:
3. COUNT(column_name):
Example:
Question 24
Pro tip
Question 25
Question 26
Question 27
Question 28
1. Index Seek:
2. Index Scan:
3. Table Scan:
Question 29
For example:
Question 30
Question 31
1. Local Temporary Table:
2. Global Temporary Table:
Question 32
Question 33
Question 34
Question 35
1. Using the RETURN Statement:
2. Using OUTPUT Parameters:
Question 36
Question 37
Question 38
Question 39
Question 40
Question 41
1. Local Temporary Table:
2. Global Temporary Table:
Question 42
1. Using SELECT INTO Statement:
2. Using INSERT INTO Statement:
Question 43
Question 44
Question 45
Question 46
Question 47
Question 48
Question 49
Question 50
1. READ UNCOMMITTED:
2. READ COMMITTED:
3. REPEATABLE READ:
4. SERIALIZABLE:
5. SNAPSHOT:
6. READ COMMITTED SNAPSHOT:
Question 51
Question 52
Question 53
Question 54
Question 55
Key Differences:
CHAPTER 2
SQL JOIN
Question 1
Question 2
For example:
Question 3
For example:
Question 4
For example:
Question 5
Question 6
For example:
Question 7
Question 8
For example:
Question 9
Question 10
Question 11
Question 12
For example:
Question 13
Question 14
For example:
Question 15
For example:
Question 16
Question 17
For example:
Question 18
Question 19
For example:
Question 20
Question 21
Question 22
For example:
Question 23
Question 24
For example:
Question 25
For example:
Question 26
Question 27
Question 28
For example:
Question 29
For example:
Question 30
For example:
CHAPTER 3
SQL QUERIES
SQL Script to create a table and Populate data
SQL scripts to create tables
Question 1
Question 2
Question 3
Question 4
Question 5
Question 6
Question 7
Question 8
Question 9
Question 10
Question 11
Question 12
CHAPTER 4
Indexes
Question 1
Question 2
Question 3
Question 4
Question 5
Question 6
Question 7
Question 8
Question 9
Question 10
Question 11
Question 12
CHAPTER 5
GROUP BY
1. Group By clause Example 1 - Finding duplicate
2. Group By clause Example 2 - Calculating Sum
3. How to calculate average using group by clause
4. Group By example 4 - Counting records
5. How to use Group By clause with more than one column
Important points about Group By clause in SQL
CHAPTER 6
SQL Date and Time Interview Questions
Key Topics and Concepts to Prepare:
Question 1
Question 2
For example:
Question 3
For example:
Question 4
For example:
Question 5
Question 6.
Question 7
Question 8
For example:
Question 9
For example:
Question 10
For example:
Question 11
For example:
Question 12
For example:
Question 13
Question 14
Question 15
For example:
Question 16
Question 17
Question 18
Question 19
Question 20
CHAPTER 7
Aggregate Functions
Question 1
Question 2
Question 3
Question 4
Question 5
Question 6
Question 7
Question 8
Question 9
Question 10
Question 11
Question 12
Question 13
Question 14
Question 15
Question 16
Question 17
Question 18
Question 19
Question 20
CHAPTER 8
Stored Procedure
Question 1
Question 2
Question 3
Question 4
Question 5
Question 6
Question 7
Question 8
Question 9
Question 10
Question 11
Question 12
Question 13
Question 14
Question 15
Question 16
Question 17
Question 18
Question 19
Question 20
CHAPTER 9
Triggers and Views
Question 1
Question 2
Question 3
Question 4
Question 5
Question 6
Question 7
Question 8
Question 9
Question 10
Question 11
Question 12
Question 13
Question 14
Question 15
Question 16
Question 17
Question 18
Question 19
Question 20
CHAPTER 10
Normalization
Question 1
Question 2
Question 3
Question 4
Question 5
Question 6
Question 7
Question 8
Question 9
Question 10
Question 11
Question 12
Question 13
Question 14
Question 15
Question 16
For example:
Question 17
Question 18
Question 19
Question 20
Chapter 11
Transaction
Question 1
Question 2
Question 3
Question 4
Question 5
Question 6
Question 7
Question 8
Question 9
Question 10
Question 11
Question 12
CHAPTER 12
Window Function and CTE
Question 1
Question 2
For example:
Question 3
Question 4
Question 5
For example:
Question 6
Question 7
For example:
Question 8
Question 9
For example:
Question 10
Question 11
Question 12
Question 13
Question 14
For example:
Question 15
Question 16
Question 17
For example:
Question 18
Question 19
Question 20
Question 21
Question 22
Question 23
Question 24
Question 25
For example:
Question 26
Question 27
For example:
Question 28
For example:
Question 29
Question 30
Question 31
Question 32
Question 33
For example:
Question 34
Question 35
For example:
Question 36
Question 37
Question 38
For example:
Question 39
For example:
Question 40
For example:
CHAPTER 13
Deep Dive
Difference between ROW_NUMBER(), RANK(), and DENSE_RANK()
SQL to build schema
ROW_NUMBER() Example
RANK() Example
DENSE_RANK() Example
Difference between row_number vs rank vs dense_rank
Difference between VARCHAR and NVARCHAR in SQL Server?
What is difference between SQL, T-SQL and PL/SQL?
Why do you need T-SQL or PL/SQL?
Differences between SQL, T-SQL and PL/ SQL
1. Full form
2. Supported Database
3. Performance
4. SQL Query Requirement
5. Data Types and Keyword
How to check for Null in SQL Query?
The right way to compare values in a column that allows NULL
How to test for not null values in SQL? IS NOT NULL Example
Difference between CAST, CONVERT, and PARSE function in Microsoft SQL Server?
CAST vs CONVERT vs PARSE Exam in SQL Server
1. ANSI SQL Standard
2. .NET and CLR Dependency
3. Optional USING Clause
4. Syntax
5. Examples
CAST Function Example
CONVERT Function Example
PARSE Function Example
Difference between UNION vs UNION ALL in SQL
UNION and UNION ALL Example in Microsoft SQL Server
Difference between UNION and UNION ALL command in SQL
1. Combining Results
2. Duplicates
3. Execution time
4. Speed and Bandwith Usage
5. Number of Columsn on ResultSet
Difference between table scan, index scan, and index seek in SQL Server Database
Difference between table scan, index scan, and index seek in Database
1. What is a Table Scan in a database?
2. What is the Index Scan in a database?
3. What is Index Seek in SQL?
Difference between table scan, index scan, and index seek in SQL
Difference between ISNULL() and COALESCE() function in SQL?
Difference between ISNULL() vs COALESCE() in SQL Server
1. COALESCE promotes its argument to the higher data type.
2. COALESCE allows multiple values but ISNULL allows only one value
3. Length of Result
4. The behavior of COALESCE and ISNULL when used in SELECT INTO
How to Find Nth Highest Salary in MySQL and SQL Server? Example LeetCode Solution
Nth Highest Salary in MySQL and SQL Server - LeetCode Solution
1. Accepted Solution
2. Alternate Solution
3. How to create own Employee table for testing?
4. SQL query to find the Nth highest salary
Difference between VARCHAR and CHAR data type in SQL Server?
Similarities between CHAR vs. VARCHAR in SQL
CHAR vs. VARCHAR in SQL Server
1. Fixed vs Variable storage
2.Usage
3. Storage
4. Space Overhead
5. Padding
6. Null
7. Reservation
8. Index
Difference between WHERE and HAVING clause in SQL? Example
Difference between WHERE vs. HAVING in SQL
When to use WHERE and HAVING clauses?
Difference between Primary key vs Candidate Key in SQL Database?
Difference between Correlated and Non-Correlated Subquery in SQL
Difference between Correlated and Regular Subquery in SQL
1. Working
2. Dependency
3.Speed and Performance
Difference between Self and Equi Join in SQL
How to remove duplicates from a table?
3 Ways to Remove duplicate values from a table using SQL Query
1. How to remove duplicate in SQL using temp table - Example
2. Delete Duplicates using row_number() and derived table - Example
3. How to remove duplicates using CTE (Common Table Expression)
How to Find Customers Who Never Order using EXISTS in SQL
How to find Duplicate emails in a table?
1. Finding Duplicate elements By using GROUP BY
2. Finding Duplicate values in a column by using Self Join
3. Finding duplicate emails By using Sub-query with EXISTS:
CHAPTER 14
Conclusion
