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所在平台: Udemy |
课程主页: https://www.udemy.com/course/microsoft-sql-server-the-beginners-guide/
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课程名称：Microsoft SQL Server: 初学者指南 课程概述： 欢迎参加Uplatz的“Microsoft SQL Server: 初学者指南”课程。SQL Server是由微软开发的关系数据库管理系统（RDBMS），旨在根据各种软件应用程序的要求存储、管理和检索数据。它是一个多用途的系统，被各类规模的组织广泛使用，包括小型企业和大型企业，以满足其数据需求。SQL Server提供了可靠且高效的方式来存储、管理和检索数据，具备可扩展性、安全性、数据分析和高可用性等特点，成为各类企业的热门选择。 课程关键特点： 1. **数据存储**：SQL Server将数据组织成表格，行表示记录，列表示特定信息（如名称、地址或产品价格）。可以在表之间定义关系以维护数据完整性。 2. **数据检索与操作**：SQL Server使用一种叫做Transact-SQL（T-SQL）的语言与数据库交互。用户可以编写T-SQL查询以检索特定数据、更新现有记录或插入新记录。SQL Server的查询优化器分析查询并确定最有效的执行方式，确保良好的性能。 3. **数据安全**：SQL Server具有内置的安全功能，保护敏感数据。它支持身份验证和授权，并允许数据加密，以保护静态和动态数据。 SQL Server的组件与服务： - **数据库引擎**：核心组件，负责存储、处理和保护数据。 - **SQL Server管理工作室**：用于管理数据库的图形工具。 - **集成服务（SSIS）**：用于数据集成和ETL（提取、转换、加载）过程。 - **分析服务（SSAS）**：提供商业智能和数据分析工具。 - **报告服务（SSRS）**：支持创建和管理交互式报告。 - **高可用性与灾难恢复**：SQL Server包含集群、镜像、日志传输和始终在线可用性组等功能，以确保数据在硬件或软件故障时仍然可用。 课程内容大纲： - SQL简介 - SQL Server简介（第1部分和第2部分） - SQL约束 - SQL Server数据类型 - SQL中的DDL和DML命令（第1部分和第2部分） - 规范化 - MSBI简介 - SQL Server中的错误处理 - SQL中查找最近记录（第1部分和第2部分） - 存储过程 - SQL Server中的一对一、一对多、多对多关系 - SQL Server中的运算符 - 系统数据库 - 库存储过程（第1部分和第2部分） - 存储过程示例（第1部分和第2部分） - 使用聚合任务 通过掌握SQL Server的基本知识，您将能够追求多种有前途和高收入的数据管理与分析职业，包括： - **数据库管理员（DBA）** - **数据库开发人员** - **数据分析师** - **商业智能（BI）开发人员** - **数据科学家** - **数据工程师** - **云数据库专家** 该课程将为您提供进入数据管理和分析领域的坚实基础，帮助您实现职业发展和技能提升的目标。
A warm welcome to the Microsoft SQL Server: The Beginner's Guide course by Uplatz.SQL Server is a relational database management system (RDBMS) developed by Microsoft. It's designed to store, manage, and retrieve data as requested by various software applications. It's a versatile system used by organizations of all sizes, from small businesses to large enterprises, to handle their data needs.SQL Server is a powerful and comprehensive database management system that provides organizations with a reliable and efficient way to store, manage, and retrieve their data. It offers features for scalability, security, data analysis, and high availability, making it a popular choice for businesses of all sizes.Key Features of SQL ServerData Storage: SQL Server organizes data into tables, which have rows and columns. Each row represents a record, and each column represents a specific type of information (like name, address, or product price). Relationships can be defined between tables to maintain data integrity.Data Retrieval and Manipulation: SQL Server uses a language called Transact-SQL (T-SQL) to interact with the database. Users can write queries in T-SQL to retrieve specific data, update existing records, or insert new ones. SQL Server's query optimizer analyzes queries and determines the most efficient way to execute them, ensuring good performance.Data Security: SQL Server has built-in security features to protect sensitive data. It supports authentication (verifying user identity) and authorization (granting specific access rights). It also allows for data encryption to protect data at rest and in transit.Components and Services of SQL ServerDatabase Engine: The core component, responsible for storing, processing, and securing data.SQL Server Management Studio: A graphical tool for administering databases.Integration Services (SSIS): Used for data integration and ETL (Extract, Transform, Load) processes.Analysis Services (SSAS): Provides tools for business intelligence and data analysis.Reporting Services (SSRS): Enables the creation and management of interactive reports.High Availability and Disaster Recovery: SQL Server includes features like clustering, mirroring, log shipping, and Always On Availability Groups to ensure data is available even in the event of hardware or software failures.Microsoft SQL Server: The Beginner's Guide - Course CurriculumIntroduction to SQLIntroduction to SQL Server - part 1Introduction to SQL Server - part 2SQL ConstraintsSQL Server Data TypesDDL and DML Commands in SQL - part 1DDL and DML Commands in SQL - part 2NormalizationIntroduction to MSBIError Handling in SQL ServerFind Recent Record in SQL - part 1Find Recent Record in SQL - part 2Stored ProceduresOne-to-One Relationships in SQL ServerOne-to-Many Relationships in SQL ServerMany-to-Many Relationships in SQL ServerOperators in SQL ServerSystem DatabasesLibrary Stored Procedure - part 1Library Stored Procedure - part 2Stored Procedure Example - part 1Stored Procedure Example - part 2Using Aggregate TaskAfter acquiring a solid understanding of SQL Server, there are several fulfilling and lucrative career paths you can pursue within the realm of data management and analysis. Some of the prominent job roles that you can target are:Database Administrator (DBA): As a DBA, you'll be responsible for the day-to-day operations of a SQL Server database, ensuring its availability, performance, and security. You'll handle tasks like installation, configuration, backup and recovery, troubleshooting, and performance tuning.Database Developer: In this role, you'll focus on designing and implementing databases, writing complex SQL queries, stored procedures, and triggers to support various applications. You might also work on data integration and ETL processes.Data Analyst: Leveraging your SQL Server skills, you'll extract, transform, and analyze data to uncover trends, patterns, and insights that inform business decisions. You'll often use visualization tools to create reports and dashboards to effectively communicate findings.Business Intelligence (BI) Developer: BI developers design and develop BI solutions, including data warehouses, data marts, and reporting systems. They leverage SQL Server along with BI tools like SSAS (SQL Server Analysis Services), SSRS (SQL Server Reporting Services), and Power BI to empower organizations to make data-driven decisions.Data Scientist: With advanced SQL Server knowledge and proficiency in statistical analysis and machine learning, you can embark on a data science career. You'll use SQL Server to gather and prepare data for building predictive models and uncovering valuable insights.Data Engineer: Data engineers focus on building and maintaining the infrastructure and pipelines that facilitate the flow of data within an organization. They use SQL Server alongside other technologies to extract, transform, and load data into data warehouses or data lakes for further analysis.Cloud Database Specialist: As cloud computing gains prominence, expertise in managing SQL Server databases on cloud platforms like Azure or AWS becomes highly valuable. You'll be responsible for database migration, deployment, and management in the cloud.
