This course consists of four modules covering some of the more in-depth and advanced areas of database technologies, followed by a look at the future of database software and where the industry is heading.
Advanced Topics and Future Trends in Database Technologies
Advanced Topics and Future Trends in Database Technologies
This course is part of Databases for Data Scientists Specialization
Instructors: Di Wu
4,861 already enrolled
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Gain insight into a topic and learn the fundamentals.
4.7
(43 reviews)
Beginner level
Recommended experience
Flexible schedule
Approx. 16 hours
Learn at your own pace
Build toward 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.
Skills you'll gain
Details to know
Shareable certificate
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Assessments
5 quizzes
Taught in English
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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.
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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 (11 ratings)Offered by
Recommended if you're interested in Data Management
University of Michigan
DeepLearning.AI
University of California, Irvine
Build toward a degree
This course is part of the following degree program(s) offered by University of Colorado Boulder. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹
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4.7
43 reviews
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Showing 3 of 43
WS
4
Reviewed on Dec 29, 2023
It was an interesting overview of the advances and challenges that still exist in the field of database management.
CP
4
Reviewed on Oct 30, 2022
Good overview of database technologies, especially NoSQL databases. But it's pretty high level.
LH
4
Reviewed on Jun 1, 2022
Great course, very clear explanation of concepts and great instructors!
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