Relational Database Implementation and Applications

所在平台: Coursera

课程主页: https://www.coursera.org/learn/illinois-tech-relational-database-implementation-and-applications

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课程简介

课程名称：关系数据库的实施与应用 概述：在当今数据驱动的世界中，掌握关系数据库的能力是各个领域专业人士的必备技能。本课程旨在为您提供所需的知识和实践技能，使您在数据库管理和应用开发中游刃有余。无论您是数据库管理员、软件开发人员还是数据分析师，本课程都为您在所选领域的优异表现奠定了坚实的基础。 课程结束时，您将具备以下能力： 课程大纲： 1. **模块1：索引、视图、函数和存储过程** - 描述：本模块深入探讨创建关系数据库的基本方面。您将学习如何在关系数据库中实施索引、视图、触发器、函数和存储过程。通过这一模块，您将认识到这些元素在数据库中的重要性，以及它们如何提升查询性能。 2. **模块2：SQL中的高级窗口函数和OLAP查询** - 描述：本模块提供了一个深入的SQL窗口函数和在线分析处理（OLAP）概念的探索。您将学习窗口函数的定义及其优势，熟练应用诸如RANK()、DENSE_RANK()等高级功能，设计、查询和分析OLAP数据集。 3. **模块3：数据库应用开发** - 描述：在本模块中，您将学习如何使用Java、Python或C++等多种编程语言开发数据库应用程序。您将掌握如何建立数据库连接、执行基本的增删改查（CRUD）操作，并编写支持SQL特性的代码。 4. **模块4：索引与哈希** - 描述：本模块深入了解数据库系统中的索引。您将定义索引及其重要性，并区分各种索引类型，了解B+-树的结构及其在搜索操作中的作用。 5. **模块5：事务概念** - 描述：本模块介绍数据库事务及其在确保数据一致性和完整性中的重要作用。您将深入理解四个ACID属性（原子性、一致性、隔离性、持久性）及其在维护事务可靠性中的意义。 6. **模块6：并发控制** - 描述：本模块专注于数据库管理系统中的并发控制。您将定义并发控制，了解其在维护数据完整性中的重要性，并学习基于锁的并发控制原理。 7. **课程总结评估** - 描述：本模块包含了课程的最终评估，以评估您对课程材料的理解和应用能力。 通过本课程，您将能够有效管理数据库，并开发出高效可靠的数据库应用程序，为您的职业生涯打下坚实基础。

课程大纲

Name:Module 1: Indexes, Views, Functions, and Stored Procedures

Description:Welcome to Relational Database Implementation and Applications! In Module 1 of this course, you'll delve into the fundamental aspects of building relational databases. You'll learn about implementing indexes, views, triggers, functions, and stored procedures in relational databases. We'll highlight the significance of these elements in databases and how they enhance query performance. You'll explore the creation of both simple and complex views, understanding how they offer data abstraction benefits and the versatility of managing data through views. Additionally, you'll gain experience in creating and optimizing database operations using user-defined functions, triggers, and stored procedures in SQL, thus acquiring comprehensive knowledge of accurate business logic implementation and performance optimization techniques.

Name:Module 2: Advanced Window Functions and OLAP Queries in SQL

Description:Module 2 of this course offers an immersive exploration of the powerful world of SQL window functions and OLAP (Online Analytical Processing) concepts. You will learn about the definition and benefits of window functions, gaining proficiency in advanced applications such as RANK(), DENSE_RANK(), LEAD(), LAG(), NTILE(n), PERCENT_RANK(), and CUME_DIST(). Additionally, you'll develop the skills to control window function behavior using PARTITION BY and ORDER BY clauses, define custom window frames with RANGE and ROWS clauses, and design, query, and analyze OLAP datasets using ROLL-UP and DRILL-DOWN levels of aggregation.

Name:Module 3: Database Application Development

Description:In Module 3 of this course, you'll learn how to develop database applications using versatile programming languages such as Java, Python, or C++. You'll discover how to establish connections to databases, perform essential CRUD (Create, Read, Update, Delete) operations, and write code that supports SQL features like triggers, functions, and stored procedures used to facilitate complex queries in relational databases. The focus will be on robust database interactions, including error and exception handling to address connection issues, query failures, and data validation, ensuring the reliability of your applications.

Name:Module 4: Indexing and Hashing

Description:Module 4 of this course provides an in-depth understanding of indexing within database systems. You'll define indexing and grasp its critical importance. Through comprehensive exploration, you'll differentiate between various types of indexes, including ordered and hash indexes, primary and secondary indexes, as well as multi-level and single-level indexes. Additionally, you'll delve into the structure of B+-trees, including nodes and leaves, and learn how these structures maintain balance, supporting efficient search operations. You'll also gain insight into B+-tree insertion and deletion operations.

Name:Module 5: Transaction Concepts

Description:In Module 5, you will enter into the world of database transactions and their critical role in ensuring data consistency and integrity. You will gain a comprehensive understanding of the four ACID properties (Atomicity, Consistency, Isolation, Durability) and their significance in maintaining the reliability of transactions. Additionally, you'll explore techniques for managing concurrent access to data, including discussions on COMMIT and ROLLBACK behaviors, serial and serializable schedules, and conflict serializability tests using graph-based techniques. This module will also cover concepts like equivalent serial schedules, recoverability, and cascade-less schedules, empowering you to design and manage complex database systems with confidence and precision.

Name:Module 6: Concurrency Control

Description:Module 6 focuses on concurrency control in database management systems. You'll define concurrency control and understand its significance in maintaining data integrity while delving into the principles of lock-based concurrency control. This module will cover key concepts such as shared and exclusive lock types, lock modes, lock compatibility, and introduce the two-phase locking protocol with its guarantees. Additionally, you'll gain insights into how transactions acquire and release locks within this protocol, and you'll explore the concept of deadlocks and their underlying causes, equipping you with essential knowledge to manage concurrent access effectively and prevent data integrity issues in database systems.

Name:Summative Course Assessment

Description:This module contains the summative course assessment that has been designed to evaluate your understanding of the course material and assess your ability to apply the knowledge you have acquired throughout the course.

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