糖心vlog官网观看

Some Videos had the low recording sound that I cannot hear clearly

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very brief, i need more details to learn about pipelines and modelines

Mucha teor铆a, mas casos.

A bid of boring

I recently completed this second course in the Google Business Intelligence Professional Certificate, and I couldn't be more impressed! This course focused on data modeling and database design, diving deep into the intricacies of how data is structured and managed. The course content was well-organized and comprehensive, providing a solid foundation in data modeling and database architecture. I appreciated the hands-on exercises that reinforced our learning, allowing us to apply theoretical concepts in practical scenarios. One of the standout features of this course was the hands-on activities that involved using Google Cloud Platform tools like BigQuery and Dataflow. I gained invaluable experience creating and running Dataflow jobs and building data pipelines. These practical exercises not only solidified my understanding of the theoretical concepts but also provided me with a real feel for these powerful technologies. The course content was well-organized and comprehensive, providing a solid foundation in data modeling and database architecture. I appreciated how the curriculum seamlessly integrated both theoretical knowledge and practical applications, making it easier to see the relevance of what we were learning. Overall, I highly recommend this course to anyone looking to deepen their understanding of business intelligence. A big thank you to Ed for guiding through the course in an excellent way! I鈥檓 looking forward to the final course in this series.

This course provides a comprehensive overview of data models and pipelines, making it an excellent choice for beginners and professionals alike. The lessons are well-organized, with clear explanations of complex concepts like SQL table joins, data transformations, and pipeline creation. I particularly appreciated the hands-on exercises and real-world examples that reinforced the material and helped bridge theory with practice. The step-by-step approach to building and optimizing pipelines was both intuitive and engaging. However, I would have liked additional resources or deeper dives into advanced topics, like performance optimization for large datasets. Overall, it鈥檚 a fantastic course for anyone looking to enhance their skills in data modeling and pipeline management.

I really liked this course. It explains how data is collected, stored, and moved between systems. The lessons are easy to understand and well-organized. We used BigQuery and SQL to complete hands-on tasks, which helped me apply what I learned. The exercises were useful and showed how things work in real projects. Some topics were a bit difficult at first, but the videos and examples helped me understand. At the end, I created a small project to check my knowledge.

The questions were clear and covered key concepts in business intelligence effectively. I appreciated the mix of technical and conceptual items, especially around ETL/ELT, indexing, and query plans. It helped reinforce practical knowledge. A few questions could benefit from slightly more context or clarification (e.g., distinguishing between ETL and ELT based on order of operations), but overall, a solid learning experience.

This teacher and course and both awesome. I was trying to learn about data models and data pipelines using many different and fragmented learning resources on platforms like Youtube and LinkedIn learning, but this course gave me the BI database information I was looking for this whole time. Ty Google and ty Ed.

It was a really good course. They go over ETL which stands for Extract, trasform and load. They also give you an opportunity to try out datasets by using google gloud. I think that inlcuding more animations about how ETL works would be much better to understand. Overall a really good course.

Wonderful learning , course 2 was even more better than the foundations in course 1, as got to learn the depths of BI, had a refresh learning older concepts(Data Analytics) with add on to the newer concepts here(Pipelines,ETL,ELT). Cant wait to explore whats in store in Course 3.

I really like to dive deep into data pipelines and how it's all connected between gathering the necessary stakeholders needs and extracting the data, to then ensure it's all in a correct format, assuring integrity and trustworthy of the data. Really well done course!

The course offered valuable insights into comparing different data sources, such as data lakes and data marts, and different database types. This provided me with a roadmap for navigating data migration processes 鈥� a key skill for any BI analyst.

Hi, I'm a university student. I followed the course gain knowledge and to find a job. Instructors, Google, 糖心vlog官网观看 gave a great learning exposure. The course was perfect. Thank you you very much.

Mr. Ed is a superb thought provoking Instructor. Love him and enjoyed a lot while attending the course with a thorough in depth approach while delivering all the concerned lectures.

The course is comprehensive and well-structured. I like that the concepts aligned with the requirements I've seen on job listings for BI roles.

This course really helped me in understanding how a pool of data could help you uncover the unknown within business organisations.

It is an excellent course with practical exercises; even non-IT persons can understand and complete the tasks. Good tutorials.

It's really good because it' contents and materials is very much effective those who want to become a BI Developer.

Es un poco dif铆cil si no se tienen conocimientos de programaci贸n, pero no es imposible de hacer.

wonderful course with proper curriculum in structure to gain the fullest knowledge

Excellent topics, Excellent instuctors, Hands on practise

Resalto la Integralidad de herramientas de aprendizaje

A good well explained introduction to Data modelling.