SQL ORDER BY The ORDER BY keyword in SQL is used to sort the result set of a query by one or more columns. Sorting can be done in ascending order (default) or descending order, allowing for easier data analysis and more meaningful reporting. ✅ Syntax of the ORDER BY Keyword Basic Example Consider a table called Employees with the […]
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SQL offers several conditional clauses that help filter data based on specific criteria. These clauses include IS NULL, LIKE, IN, BETWEEN, NOT BETWEEN, and combinations such as BETWEEN with IN. Key Points and Examples: 1. IS NULL The IS NULL clause is used to check for null values in a column. ✅ Basic Syntax: 💡 Example: Retrieve all employees with no assigned department: 2. LIKE The LIKE clause is used for
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In this part, we will learn how AWS services solve volume challenges for organisations. Amazon S3: Store any amounts of object storage with scalability, availability, and security. Amazon S3 is a secure, reliable, and price effective object storage that solves large-volume data storage challenges. Amazon S3 is scalable and can grow to any size needed
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Understanding SQL Statements SQL statements are the specific queries or operations entered into the database using the SQL language. They are used to access, modify, or manage data stored in database tables. SQL statements consist of keywords, expressions, clauses, and operators. Components of SQL Statements: SELECT Statement The SELECT statement is used to choose data from a
SQL Syntax SQL syntax refers to the set of rules that dictate how SQL statements are constructed. This language is primarily used to interact with relational databases, allowing users to perform operations such as creating, reading, updating, and deleting data within a database. The fundamental structure of a SQL statement typically follows this format: For
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SQL (Structured Query Language) was specifically created for managing and manipulating relational databases. It offers commands and statements that enable users to connect to databases, retrieve and update data, design database structures, and execute a variety of data-related tasks. Further information is provided below: Definition and Purpose of SQL: SQL, or Structured Query Language, is
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What is Normalisation ? Normalization of data in a database is a process designed to ensure data integrity by eliminating duplication. This involves dividing the database into multiple tables and creating linkages between them. There are various levels of normalization, including First Normal Form (1NF), Second Normal Form (2NF), Third Normal Form (3NF), and Boyce-Codd
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🌟Strings Strings in Python are actually a sequence, so python can use indexes to call parts of the sequence. Indexing starts at 0 for python Indexing – Extracting single character at particular indexSlicing – Subset of string Built in String Methods Some of the built in functions are like upper(), lower(), type() For more information
History of Python Python has a rich history that traces back to the late 1980s. Here’s a brief overview: Python’s journey from a personal project to one of the world’s most popular programming languages demonstrates its resilience, adaptability, and the strong community that supports it. Why Named Python ? The name “Python” for the programming
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