Universidad Nacional Autónoma de México
Designing data-intensive applications
Universidad Nacional Autónoma de México

Designing data-intensive applications

This course is part of Database systems Specialization

7,800 already enrolled

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
4.2

(38 reviews)

Intermediate level
Some related experience required
6 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.2

(38 reviews)

Intermediate level
Some related experience required
6 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

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Assessments

1 assignment

Taught in English

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This course is part of the Database systems Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 4 modules in this course

After completing this module, a learner will learn how to distinguish a transactional from an analytical information system according to consistency, concurrency and integrity, and how to propose an architecture that suits user requirements.

What's included

1 video1 reading1 peer review1 discussion prompt

After completing this module, a learner will learn how to distinguish a transactional from an analytical information system according to the queries required on a huge amount of historical structured data that requires fast processing.

What's included

1 video1 assignment1 peer review1 discussion prompt

After completing this module, a learner will learn how to distinguish which database technology to use to suit the user requirements, detect frauds and support ACID properties.

What's included

1 video1 peer review1 discussion prompt

After completing this module, a learner will identify the architecture and technologies required to analyse a huge volume of structured and semistructured data.

What's included

1 video1 peer review1 discussion prompt

Instructor

Instructor ratings
2.7 (7 ratings)
María del Pilar Ángeles
Universidad Nacional Autónoma de México
4 Courses43,476 learners

Offered by

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