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Online Course

Data in Database

Arizona State University via Coursera

Overview

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.

Syllabus

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.

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.

Taught by

Ming Zhao and Mohamed Sarwat

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Reviews

3.0 rating, based on 1 reviews

Start your review of Data in Database

  • Anonymous
    I like the course and the teachings. His explanations were straight to point and clear.

    But the challenge there is, it's difficult to pass the assignments(the second assignment). Despite the fact that the solution I worked was fine on my local Postgres, it doesn't pass any test when I submitted it. And there is no reason for why my solution didn't pass. No solution anywhere or correction. This is my last week and I'm still unable to submit It's really sad.

    If there is a way I can see a correction to the answer or an error log that shows me where my error is coming from, I would really appreciate that.

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