SQL- Structured Query Language

By SS Gayatree Devi Uncategorized
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About Course

What is SQL

SQL-Structured Query Language is used for managing and manipulating relational databases. It provides a standardized way to interact with databases, enabling users to perform various operations. SQL is commonly used in a wide range of applications and industries where data management is crucial, including web development, software engineering, data analysis, and business intelligence. Structured Query Language provides a powerful and flexible means of managing and querying structured data, making it an essential skill for anyone working with databases or handling large volumes of data.

Some common SQL operations include: Querying Data, Manipulating Data, Creating and Modifying Database Structures, Controlling Access and Permissions, Aggregating Data, Filtering and Sorting Data.

Why SLI

Enrolling in the SQL course at SLI provides essential skills in database management and querying, making you proficient in handling and analyzing data. Gain hands-on experience with real-world SQL applications, enhancing your problem-solving capabilities. Earn a recognized certification to boost your career opportunities in data analysis, database administration, and related fields. SLI provides Access to placement assistance, industry experts as faculty, and live online/offline classroom sessions, among other advantages.

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What Will You Learn?

  • Learning SQL enables efficient management and manipulation of relational databases, empowering individuals to retrieve, store, update, and analyze data effectively.

Course Content

Introduction
SQL is a tool for organizing, managing, and retrieving data stored by a computer database.

A Quick Tour of SQL
This chapter contains a quick tour of SQL that illustrates its major features and functions.

SQL In Perspective
This chapter traces the history of SQL and describes its current role in the computer market.

Relational Databases
Database management systems organize and structure data so that it can be retrieved and manipulated by users and application programs.

SQL Basics
This chapter begins a detailed description of the features of SQL.

Simple Queries
In many ways, queries are the heart of the SQL language.

Multi-Table Queries (Joins)

Summary Queries
This chapter summarizes the queries

Subqueries and Query Expressions
The SQL subquery feature lets you use the results of one query as part of another query.

Database Update
This chapter describes the three SQL statements that are used to modify the contents of a database.

Data Integrity
This chapter discuss about the correctness, completeness and consistency of the data in a table.

Creating a Database
This chapter focus on how to create database, DDL, DML etc.

Views
This chapter focus on how to look at the stored data in other ways by defining alternative views using SQL.

SQL Security
In this chapter we will know how the security of the stored data is a major concern.

The System Catalog
The system catalog provides a way for users and database management tools to query and manipulate the database schema.

Embedded SQL
This chapter summarizes the types of programmatic SQL offered by the leading SQL based products and then describes the programmatic SQL used by the IBM SQL products, which is called embedded SQL.

Dynamic SQL*
Dynamic SQL has been supported by the IBM SQL products since their introduction.

SQL APIs
SQL APIs (Application Programming Interfaces) are sets of functions, procedures, methods, or protocols that allow developers to interact with SQL (Structured Query Language) databases programmatically.

Database Processing and Stored Procedures
Database processing and stored procedures are key components of SQL databases, used to manage and manipulate data efficiently.

SQL and Data Warehousing
SQL (Structured Query Language) and data warehousing are closely related concepts, as SQL is often used as the language for querying and manipulating data stored in data warehouses.

SQL Networking and Distributed Databases
SQL Networking and Distributed Databases are two interconnected concepts in the realm of database management.

SQL and Objects
This chapter focus the ways to bridge the gap between SQL and objects, primarily through Object-Relational Mapping (ORM) frameworks.

The Future of SQL
The future of SQL lies in its integration with emerging technologies such as machine learning, enabling advanced analytics and data-driven decision-making.

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