Big Data analytics tools are increasingly critical for providing meaningful information for making better business decisions. Big data technologies bring significant cost advantages when it comes to storing and managing large amounts of data. Understanding how to query a database to extract data will empower better analysis of large, complex datasets. Knowledge of Indexing mechanisms makes possible high-speed, selective retrieval of large amounts of information.
課程信息
7,488 次近期查看
您將學到的內容有
Evaluate data models and data processing concepts
Apply relationship algebra to entity relationship models
Compare major indexing schemes in Database Systems
Analyze transaction properties and concurrency control concepts
學習Course的學生是
- Data Engineers
- Software Engineers
- Data Analysts
- Business Analysts
- Researchers
教學大綱 - 您將從這門課程中學到什麼
週
1完成時間為 1 小時
Big Data and Data Processing
Database management systems are critical to businesses and organizations. They provide an efficient method for handling different types of data in the era of big data. A university database, for example, stores millions of student and course records. The relational database management system ensures that the university can define entity relationships and logically maintain its data over time.
3 個視頻 （總計 20 分鐘）, 3 個閱讀材料, 1 個測驗
3 個閱讀材料
Best Practices for Online Learning5分鐘
Technology Tools10分鐘
PostgresSQL Resources2分鐘
1 個練習
Knowledge Check: Database Systems4分鐘
週
2完成時間為 4 小時
Entity Relationship Model to Relational Model
We live in an era where data is the critical factor in decision-making. To provide that critical factor, we must be able to extract data from database management systems. This week, you will learn how Entity Relationship (ER) models visually show the various entities (tables) and the relationships between them. You are also provided with an introduction to SQL, the standard language for relational database management systems.
4 個視頻 （總計 43 分鐘）, 1 個閱讀材料, 1 個測驗
4 個視頻
Class Hierarchies and Aggregation within ER Models8分鐘
Creating Relations in SQL14分鐘
ER to Relational Model8分鐘
1 個閱讀材料
Practice SQL Exercises2分鐘
週
3完成時間為 4 小時
Relational Model and Relational Algebra
Databases use relational algebra operators to execute SQL queries; this week, you will learn about relational algebra as the mathematical query language for relations.
11 個視頻 （總計 45 分鐘）, 4 個測驗
11 個視頻
Relational Algebra: Query Language3分鐘
Relational Algebra: Query Language: Union1分鐘
Relational Algebra: Query Language: Difference2分鐘
Relational Algebra: Query Language: Cartesian Product3分鐘
Relational Algebra: Query Language: Selection2分鐘
Relational Algebra: Query Language: Projection2分鐘
Relational Algebra: Query Language: Intersection1分鐘
Relational Algebra: Query Language: θ-Join4分鐘
Part 1: SQL Query Language9分鐘
Part 2: SQL Query Language10分鐘
3 個練習
Knowledge Check: Introduction to Data and Data Processing5分鐘
Knowledge Check 1: Relational Algebra6分鐘
Knowledge Check 2: Relational Algebra8分鐘
週
4完成時間為 2 小時
Data Storage and Indexing
In the first part of this week, you will learn how indexes are important for looking up information (Imagine searching for your order in Amazon without an index!) and optimizing query performance. As the week continues, we discuss transaction locks and database recovery. Transaction locks are critical to data consistency. All organizations think about recovery mechanisms for databases, and have some in place in the event of a crash. We close out this week with a discussion on database recovery.
7 個視頻 （總計 80 分鐘）, 3 個測驗
7 個視頻
Alternative File Organization11分鐘
Hash-based Indexes4分鐘
Index Classification15分鐘
Principles of Transactions: ACID Properties11分鐘
Lock-Based Concurrency Control15分鐘
Database Recovery14分鐘
3 個練習
Knowledge Check: ACID Properties8分鐘
Knowledge Check: Transactions and Concurrency Control6分鐘
Knowledge Check: Lock-Based Concurrency Control6分鐘
講師
Ming Zhao
Associate Professor ASU School of Computing, Informatics, and Decision Systems Engineering.
Mohamed Sarwat
Assistant ProfessorComputer Science and Engineering
關於 亚利桑那州立大学
Arizona State University has developed a new model for the American Research University, creating an institution that is committed to excellence, access and impact. ASU measures itself by those it includes, not by those it excludes. ASU pursues research that contributes to the public good, and ASU assumes major responsibility for the economic, social and cultural vitality of the communities that surround it.
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