University of Colorado Boulder
Advanced Topics and Future Trends in Database Technologies
University of Colorado Boulder

Advanced Topics and Future Trends in Database Technologies

This course is part of Databases for Data Scientists Specialization

Taught in English

Some content may not be translated

Di Wu
Alan Paradise

Instructors: Di Wu

4,064 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.7

(33 reviews)

Beginner level

Recommended experience

16 hours (approximately)
Flexible schedule
Learn at your own pace
Progress towards a degree

What you'll learn

  • In-depth and advanced areas of database technologies

  • The future of database software and where the industry is heading

  • Understand and differentiate four leading NoSQL implementations: MongoDB, Cassandra, Redis, Neo4j.

Details to know

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Assessments

5 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.7

(33 reviews)

Beginner level

Recommended experience

16 hours (approximately)
Flexible schedule
Learn at your own pace
Progress towards a degree

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Databases for Data Scientists 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

In this module we will take a deeper look into the internals of DBMS software to better understand how it works. We will examine the role of the DBA (Database Administrator), the Data Scientist, the Data Architect, and other career paths in the realm of database technologies. This module covers DBMS essentials such as concurrency management, backup & recovery, and transaction logging.

What's included

6 videos2 readings3 quizzes1 peer review1 discussion prompt

We have learned to design a Relational Database around the typical transactions or activities a business might have. However, in case we need to analyze data, rather than collect data, we need to create a database for the subject of interest to support decision making. In this module, we are going to learn a different perspective of organizing the data, Data Warehouse, or Online Analytical Processing.

What's included

5 videos1 peer review

We are in the era of data explosion. While relational databases are still widely used, we are having new problems to deal with data that is different than the one we have been organizing. This new type of data, with 10 V's in the definition, is called Big Data. We are going to explore the definitions, the challenges, and the architecture of the Big Data in this module.

What's included

4 videos1 peer review

Although relational database software has been in use for decades, relational database systems still command a huge share of the database software marketplace. However, with the more recent explosion of Big Data, relational systems are struggling to keep up. Big Data has opened the door for non-relational database solutions ("NoSQL") to capture marketshare from relational systems. In this module we will take a deeper look into the most popular NoSQL database technologies.

What's included

6 videos2 quizzes1 peer review

Instructors

Instructor ratings
4.7 (9 ratings)
Di Wu
University of Colorado Boulder
15 Courses32,675 learners

Offered by

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Get a head start on your degree

This course is part of the following degree programs offered by University of Colorado Boulder. If you are admitted and enroll, your coursework can count toward your degree learning and your progress can transfer with you.

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4.7

33 reviews

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4

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