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 can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.
VB
The course work and assignments are clear and adequate.
PC
Requiring every learner to grade four assignments is a hassle. Due to this good feedback is not provided for assignments as graders just skim through the answers. Keep it down to 1 or 2
LH
Great course, very clear explanation of concepts and great instructors!
MS
Good overview on current trends in Data storage technologies
NK
Excellent course covers all advanced topics in data bases
CP
Good overview of database technologies, especially NoSQL databases. But it's pretty high level.
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Nice course and good explanation for building some big pictuce.
The course covered key topics for future database technology trends. The instructors provided all relevant information. My reservation about the course is the peer graded assignments. I think the school needs to come up with a better grading system and that way all students would be equally assessed for the point they deserved. Other than that, I have enjoyed the course.
Solid course and intro to NoSQL systems, good way to round out the course series. If anyone wants to follow up some additional courses include the Big Data Specialization from UCSD, Data at Scale from UW, and the 4th course for Python for Everybody from UMICH. All 3 are on coursera.
Excellent course. Interesting topics, good presentation of the material.
Excelente introducción al manejo de datos estructurado SQL
Excellent course covers all advanced topics in data bases
The course work and assignments are clear and adequate.
Great course and instructor!
Excellent!!!
Excelente!
nice
good
OK
A very good introduction to data warehousing, data cubes, big data and NoSQL. Found some of the information, especially data cubes, a little abstract and would have liked a hands-on example, even a screen shot or two of an application in a lecture slide would be helpful. A lot covered in the course but nowhere near as hands-on as the SQL course, which I enjoyed a little more. Still, a very good overview or those unfamiliar with the concepts and good as introductory content.
Peer-graded assignments will take several days (if not weeks) to be graded. If your subscription/trial is ending then it might happen that the diploma for the whole specialization may not be generated.
Requiring every learner to grade four assignments is a hassle. Due to this good feedback is not provided for assignments as graders just skim through the answers. Keep it down to 1 or 2
It was an interesting overview of the advances and challenges that still exist in the field of database management.
Good overview of database technologies, especially NoSQL databases. But it's pretty high level.
Great course, very clear explanation of concepts and great instructors!
Good overview on current trends in Data storage technologies