Big Data analytics tools are increasingly critical for providing meaningful information for making better business decisions.
Data in Database
亚利桑那州立大学課程信息
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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
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亚利桑那州立大学
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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.
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.
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.
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.
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