Key concepts like data lake, warehouse, or ETL/ELT/EL need to be explained more precisely and in stand-alone modules. Many modules/videos repeat some information on previous topics and add some new information on that topic which gives insight and is valuable but this information is not present in the video about the specific topic. This makes it more difficult to get a good foundation of the key concepts. The labs need to be more interactive and show a more diverse set of scenarios for the given concept at hand. The demos are too unorganised, the view of the GCP interface is too small to see what is going on. The demos should probably be labs instead.

The course offers a nice description of what modern DWH means, which are the differences between classic DWH and cloud DWH. You have the chance to work with the new cloud concept on GCP.

Great course that is organised in a way that makes the concepts easy to understand. Clustering is still a little confusing in terms of how it actual works behind the scenes, but how implement it and the value it adds in making quires efficient is crystal clear.

Without a doubt the best course, I have learned a lot not only from GCP but from many aspects of cloud computing and the skills necessary for a data engineer. Thank you very much for the opportunity.

Very detailed explanation on Data Lake and Data Ware house and use cases. Concepts of the Data types such as STRUCT and ARRAYS are explained very well and beneficial in Data modeling.

Simply Extraordinary !! The way course took made me finish entire course with a continuous flow.Kudos to course faculty.

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Case studies in this course are intended to develop the skill of defining the solution while analyzing the circumstance. This is a key test-taking and job skill.

Practice Exam Questions help develop the skill of being aware of how certain you are of an answer. This is not only a test-taking skill and a job skill, but also helps you understand where you may want to study more to prepare.

This course provided an exhaustive list of basic principles and concepts and tested you repeatedly on your ability to remember them.

This course introduced "touchstone" concepts that are based on many fundamental concepts. If you don't feel confident about a "touchstone" concept, it is an indicator that you might want to study the underlying concepts and technologies.

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Highly recommended course for any data engineer. In addition to an introduction to data engineering, this course builds an awareness on data warehousing and goes about it in an extremely user-friendly way by demonstrating the whole thing on the GCP. Of course, programming in sql should be learnt through a dedicated course on the subject, as this course provides the required code.

Topics are very informative and helpful. The only thing I felt is lab time for the bigquery lab where i had to practice struc, arrays etc. was too short. I understand there are several attempts, but it could have been better to get 30mins more in a single attempt as it completes the flow and helps to understand it completely.

In my opinion the explanation is very good. It's suite for a beginner and there also some explanation into the deeper topics, that included with a resource if you are interested. So I think this course is a good learning resource for beginner or advanced

Got a good exposure to google big query and how it can be utilized for building data lake and and data warehouse.The explanation for EL ,ELT and ETL is enough for understanding data tranformtion.

Overall good course for data engineering.:)

A really well structured and highly informative course, to help strengthen the skills of any student who aims to become a cloud engineer someday.!

Highly recommended by me for all learners new to GCP and Data Engineering.

Nice understanding of bigquery and cloudSQL, although more challenging examples cloud be asked for. E.g. more questions as the ones from the last lab where SQL querys were requested in a guided way, would be awesome

Very instructive course, I learned a lot about database engines, row oriented vs columnar oriented storage, improving query performance using partitions and clustering, using BigQuery as a data warehouse and more.

excellent.its being a great experince and feeling confidence for data engineering task and looking forward to other courses. Thank you so much helping like many candidate like me who want to hence skills

Good introduction and overview of the field of data engineering, data lakes and modern data warehouses and a hands-on walkthrough of all the technologies related to solving these problems on GCP.

A better understanding of BigQuery starts here. A vital resource for consultants, data analysts, and product managers, and an important reference source for engineers and data scientists.

I really like how the Google courses do not overwhelm the learner with too much information. The information was presented well and the labs were very practical with clear instructions.

Great course providing the fundamental concepts around Data Lakes, Data Warehouses, Schemas, ETL/ELT/EL, and specific Google GCP Technologies that help implement these concepts

In depth course explaining how to build scalable & state of the art data lakes & data warehouse on GCS, CloudSQL, Bigquery. Ways to optimize bigquery & improve the schema

This is a great course for people wishing to make a career in Data Engineering on the Google Cloud Platform. Highly recommended! Its simply superb!

Excellent course; Highly informative & insightful for someone new to Data Engineering!

Kudos to the entire team! Demos by Evans are fun to watch!

Very detailed course on using BigQuery. Gives clarity on different services offered in GCP. Need to attend this for detailed understanding

Really good course for beginners this will help them to understand about Data Lakes, Data Warehouses, BigQuery,Google Storage & Cloud SQL.

We can see how fast, useful and pragmatic are moder data lakes and dataware houses. And of course some hands on experience to have fun.