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Opiniones y comentarios de aprendices correspondientes a Modernizing Data Lakes and Data Warehouses with GCP por parte de Google Cloud

1,920 calificaciones
257 reseña

Acerca del Curso

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. New! CERTIFICATE COMPLETION CHALLENGE to unlock benefits from Coursera and Google Cloud Enroll and complete Cloud Engineering with Google Cloud or Cloud Architecture with Google Cloud Professional Certificate or Data Engineering with Google Cloud Professional Certificate before November 8, 2020 to receive the following benefits; => Google Cloud t-shirt, for the first 1,000 eligible learners to complete. While supplies last. > Exclusive access to Big => Interview ($950 value) and career coaching => 30 days free access to Qwiklabs ($50 value) to earn Google Cloud recognized skill badges by completing challenge quests...

Principales reseñas

14 de feb. de 2020

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.

16 de abr. de 2020

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 de 257 revisiones para Modernizing Data Lakes and Data Warehouses with GCP

por Konstantin B

15 de ene. de 2020

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.

por Bragaru A

9 de feb. de 2020

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.

por Ajay K G

11 de may. de 2020

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.

por Tarun T

18 de feb. de 2020

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

por Yuri M

8 de sep. de 2020

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.


por Tawanda E

15 de ene. de 2020

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.

por Humberto R

17 de may. de 2020

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.

por Saikat M

9 de dic. de 2020

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.


26 de jun. de 2020

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.

por Jose L M

11 de dic. de 2020

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.

por Aniruddha S

16 de may. de 2020

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.

por Miguel F A S C

11 de nov. de 2020

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.

por Iman R

21 de may. de 2020

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

por Durgesh V

26 de abr. de 2020

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.:)

por Abah F

25 de nov. de 2020

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!

por Rishabh

30 de jul. de 2020

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.

por Esteban R d J

15 de may. de 2020

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


27 de jun. de 2020

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.

por Ganesh K

20 de abr. de 2020

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

por Ahmad A

15 de feb. de 2020

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.

por Frank J V M

17 de abr. de 2020

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.

por Michael E

30 de ago. de 2020

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.

por Carol L

5 de oct. de 2020

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

por Miguel P

18 de may. de 2020

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

por Tushar B

12 de ago. de 2020

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