High quality info for a well structured course

It's a nice opportunity to learn and

Nice Lectures Documentations Overall

Great course to learn DWH concepts.

Hard course but was worth it.

The course was very helpful

useful information

Good course!

Great course

Good course

Good course

excellent

Good

good

The course content is well structured. The lessons' delivery is clear and concise. Apart from that, there is much room for improvement:

The content is very outdated. Also, some of the course material should be rewritten (E.g., I lost count of how many times the course material states something different regarding which RDBMSs can be used for the assignment).

Many topics are presented using Excel or Excel-equivalents:

(a) In module 2, WebPivotTable is used to explain data cubes. WebPivotTable is just Excel pivot tables in a web interface.

(b) In module 3, the assignment tasks us with designing a data warehouse through the combination of a database and an unstructured Excel file. In real business settings, Excel files created and maintained by users should never be used as sources for operational databases/data warehouses, especially by combining them with data produced and maintained by operational IT systems.

(c) In module 5, the Pentaho assignment tasks us with loading Excel and Access files to a database. Data integration tools in real life are used to combine data sources coming from different IT systems and combining them into a single (Or multiple) data warehouse. The process of loading data from a file into a database is a trivial task, and is not handled by tools such as Pentaho. Thus, I think a more representative example should be used to demonstrate the tool's usage.

Topics that I would like to see covered in a course such as this:

(a) More in depth presentation of relational data warehouse schema design.

(b) Presentation of different types of data integration and use cases for each (Batch vs real time).

(c) Presentation of modern data engineering tools, e.g. cloud data warehouse offerings (Amazon Redshift, Google BigQuery, Snowflake, e.tc.), data integration tools (Apache Kafka, Apache Airflow), infrastructure as code tools (Ansible, Terraform, e.tc.) and their usage in data warehouse implementations, programming languages used for data pipeline design (Python, Scala, e.tc.), NoSQL databases and their usage in data engineering.

This course has plenty room for improvement. On one hand, it provides a good understanding of the different data warehousing architectures and design principles, an essential foundation to anyone interested in the field. The material on data integration is also excellent, along with the associated assignment. On the other hand, the peer-graded assignment on data warehousing design is very demanding and isn't clearly described from the lectures and practice problems what the students ought to do to get a perfect grade. Installing the software and getting it to work is also a skill on its own, but it truly is something that a professional will encounter in their work!

Pros: Information is perfect for anyone looking at Business Intelligence as a career field, or already in the career field itself. I found the first week to challenge my on-the-job knowledge of a fuller set of concepts and general terminology.

Cons: The wording on the quiz questions, in some cases, seems much different than the PPT slides and the instructor's language. UPDATE: The wording is a significant challenge, even when advancing into the more complex topics. I have had many differences of opinions on the solutions based on wording in the requirements.

Really short lessons, and usually half of lesson is spent on introduction and talking about what will be in the lesson. Nevertheless, course is focused on theory, rather than the practice. I think it should be more detailed and with more practical assignments.

Well organized lectures but the documentation is full of errors. This in combination with the lack of response on the a lack of responsiveness on the forums might make this class frustrating for some.

This course needs a cleanup of loose ends on some of the assignments. Some assignment requirements are very ambiguous and in some cases the solutions are not matching the requirements of what was due.

Real world data warehouse integrations are more complex than just inner joining the tables to drop those rows not found in the original tables. i wish more complex scenarios are covered.

Assignments are very good, in fact excellent, but the material could be a bit more descriptive. And the practice exercise of assignment 5 had lots of discrepancy with the actual

I think there is still missing purpose on some explanations, for example, in the last assignment there was requested something we never learned during the course.

Some good parts on data integration but the key sections on DW design and in particular the assignment are really poorly written.

Needs serious updates. A lot of good information, but assignments are thrown together, and instructions are often not clear.