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Category: Tutorials

  • Indexing in SQL- Explain with examples

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    Indexing in SQL is a technique used to improve the performance of queries by creating special data structures (indexes) that allow for faster data retrieval. Indexes are created on one or more columns of a table, and they store the values of those columns in a sorted order, along with pointers to the corresponding rows…

  • Pattern matching in SQL- Like Operator

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    LIKE Operator: The LIKE operator is used to search for a specified pattern in a column. It allows the use of wildcards: % (percent sign): Matches zero or more characters. _ (underscore): Matches any single character. Examples: SELECT * FROM employees WHERE last_name LIKE ‘Sm%’: Finds employees with last names starting with “Sm”. SELECT *…

  • What is Normalization, Denormalization concepts in Database Design?

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    Normalization and denormalization are two opposing database design techniques aimed at achieving different goals. Let’s explore each concept: Normalization: Normalization is the process of organizing the data in a database to minimize redundancy and dependency. The main objective of normalization is to ensure data integrity and reduce anomalies during data manipulation. Normalization typically involves dividing…

  • How to design and create well-structured and efficient database schema in SQL

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    Designing a well-structured and efficient database schema in SQL involves several steps and considerations. Here’s a comprehensive guide to help you design a database schema that meets your application requirements while ensuring efficiency, scalability, and maintainability: By following these steps and considerations, you can design a well-structured and efficient database schema in SQL that meets…

  • List out Performance optimization steps for SQL

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    Optimizing SQL performance is crucial for ensuring that database operations are efficient and scalable. Here are some steps you can take to optimize SQL performance: By following these performance optimization steps, you can improve the efficiency and scalability of your SQL queries and database operations.