BigQuery for Big data engineers - Master Big Query Internals (Udemy.com)

It was a bit challenging because the UI had changed, but that also “forces” you to explore more on your own, which can be a positive learning experience. I had some difficulty with Section 15 because, in my opinion, the explanation was not very clear. However, someone already familiar with Cloud Shell and Python will likely find it easier to follow. Overall, it’s a solid course that could still be improved.

Excellent course! The concepts are explained clearly and effectively, making it easy to follow along. I really appreciated how the content is short, precise, and to the point, while still covering all the essential topics in depth. It perfectly matched what I was looking for. This course is highly suitable for both beginners as well as experienced professionals working with BigQuery. Truly well-structured and thoughtfully designed—great job!

Great course! I have learned a lot by doing this course and what I appreciate the most is the emphasize on performance and how BigQuery works behind the scenes, how it optimizes queries and how we can take advantage of its features to reduce costs and increase performance. As a suggestion, what I would have liked would have been a more in-depth presentation of Apache Beam and more example of how data pipelines are able to transform data. Thank you for the good content!

The content of the course itself is awesome for beginners in data analysis, but the fundamental knowledge about SQL will be needed. One disclaimer, the English used is strongly accented, so those who are used to American/British English will need some time to get used to it, although it won't be a big blocker. Thank you for an amazing learning opportunity!

El curso está desactualizado. Por ese lado, un punto negativo, aunque me ha obligado a mirar la documentación para todo y eso puede llegar a ser un punto positivo. Además, proporciona recursos para poder seguir lo que hace y trastear con BQ, pero no especifica que recurso utiliza para cada cosa, los nombres no son intuitivos, es decir, si quieres hacer exactamente lo mismo tardas bastante en ubicar que archivo está utilizando, o si es uno que ha editado en el momento del vídeo y nunca lo vas a encontrar. La traducción es mediocre. Entre eso y la desactualización, te pierdes un poco (para quién lo quiera seguir en español) Un buen paseo para conocer cosas básicas de BigQuery aunque al estar desactualizado, si quieres aprender como funciona a día de hoy tardas bastante más tiempo del previsto en terminarlo.

I think this is the best BigQuery course on Udemy. The course is very deep, it dig hidden and advanced features in BigQuery. I think this is an advanced level course. If you have no any basic knowledge of SQL and database, you'll probably lost. It would be better if you learn SQL first before jump into this course.

Very good practical course with real life example.It it a very good starting point for people want to develop their skills in engineering on google cloud as it covers all essential aspects of data processing in google clouds i.e.: working with big query console, working from cli and python api, creating data flows with Apache Beam and scheduling them with Composer. I really liked the practical approach and best practices segments. Despite being created in 2020 the course is still actual.

This course is efficient for those who are started enhancing big query. here you will get granular knowledge on each and every topic. Way of explanation is super fast, so you have to be speed up understanding and grasp as much as possible :-) All the best..!

One of its first kinda detailed walkthru course on BQ available across the online learning platforms. It is a good deal of info to get started and the trainer has demoed everything in his own style than copying it from some examples in other documentations.

As with all his previous courses, J Garg, kept the course simple and engaging, while covering almost all the aspects of the course. The course will give enough confidence to deal with real world problems for Data Engineers. Few things I would like to be added though , are - Publish the course presentations. Add Big Query ML capabilities