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Отзывы учащихся о курсе Modernizing Data Lakes and Data Warehouses with GCP от партнера Google Cloud

4.7
звезд
Оценки: 2,322
Рецензии: 290

О курсе

The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud Platform in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment. Learners will get hands-on experience with data lakes and warehouses on Google Cloud Platform using QwikLabs....

Лучшие рецензии

AA
14 февр. 2020 г.

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.

FM
16 апр. 2020 г.

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.

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1–25 из 296 отзывов о курсе Modernizing Data Lakes and Data Warehouses with GCP

автор: Konstantin B

15 янв. 2020 г.

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.

автор: Bragaru A

9 февр. 2020 г.

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.

автор: Ajjay

11 мая 2020 г.

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.

автор: Tarun T

18 февр. 2020 г.

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

автор: Yuri M

8 сент. 2020 г.

1 punto

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.

2.

автор: Tawanda E

15 янв. 2020 г.

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.

автор: Humberto R

17 мая 2020 г.

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.

автор: Ahmad A

15 февр. 2020 г.

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.

автор: Jaap K

6 апр. 2021 г.

Demo's are presented by persons that click and scroll and click and scroll while mumbling along. Really worthless. Transcriptions below video's are full of misspellings and buggy sentences. A 'data lake' is called a 'data leg', 'disk writes' are called 'disk rights' and many, many more. Check for yourself and have a good laugh, or a cry is your career depends on this kind of rubbish. PROOF that Coursera doesn't care a fig for your learning. They never checked there product before publishing. Probably trusted Google ML/AI.

автор: Saikat M

9 дек. 2020 г.

Big Query part was very clear and how to leverage it for data warehousing. While using Cloud Storage for Data Lake was at a high level. Currently Data Lake often have many laters and unless latency is a big issues data is curated and transformed into enterprise layers in a data lake itself. A more realistic use case of data lake that has already multiple layers of ETL would have helped.

автор: ARVIND K S

26 июня 2020 г.

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.

автор: Jose L M

11 дек. 2020 г.

Really useful, here you learn how to properly use BigQuery, and how to calculate and monitor pricing of its usage.

It's highly recommended having a solid foundation of SQL and database basic design before deep diving into BigQuery.

The Labs were pretty instructive and detailed, I will repeat the course for sure to practice and further interiorize what I've learn.

автор: Aniruddha S

16 мая 2020 г.

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.

автор: Miguel F A

11 нояб. 2020 г.

A diferencia el curso anterior, este trae más ejemplos de como utilizar las herramientas, te da más idea de como podrás poner en práctica lo que estás aprendiendo. A que orientarte una vez terminado el curso, para poder usar los conocimientos o seguir con el siguiente curso.

автор: Iman R

21 мая 2020 г.

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

автор: Durgesh V

26 апр. 2020 г.

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.:)

автор: Abah F

25 нояб. 2020 г.

Brilliant course! This course simplified a lot of concepts I was previously struggling with. All the demos and labs are so straightforward and easy to understand. The course instructors are wonderful! I'm so glad I signed up!

автор: Rishabh

30 июля 2020 г.

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.

автор: ESTEBAN D R

15 мая 2020 г.

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

автор: MARTÍN M C S

27 июня 2020 г.

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.

автор: Ganesh K

20 апр. 2020 г.

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

автор: Frank J V M

17 апр. 2020 г.

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.

автор: Michael E

30 авг. 2020 г.

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.

автор: Carol L

5 окт. 2020 г.

Muy interesante aprender funcionalidades nuevas que se pueden aprovechar de SQL en Bigquery. Tambien ver el workflow de un data engineering en GCP es similar al que estoy utilizando

автор: Miguel P

18 мая 2020 г.

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