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Voltar para Modernizing Data Lakes and Data Warehouses with Google Cloud

Comentários e feedback de alunos de Modernizing Data Lakes and Data Warehouses with Google Cloud da instituição Google Cloud

4.7
estrelas
2,554 classificações

Sobre o 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 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. This is the first course of the Data Engineering on Google Cloud series. After completing this course, enroll in the Building Batch Data Pipelines on Google Cloud course....

Melhores avaliações

AA

14 de fev 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.

FM

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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26 — 50 de 319 Avaliações para o Modernizing Data Lakes and Data Warehouses with Google Cloud

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 D R

15 de mai 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

por MARTÍN M C S

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 Leopoldo G

26 de abr de 2022

This is an excellent course to understand about Data Lakes and Data Warehouses, and how to implement them with GCP. It takes you from zero to a level where you can move confidently in 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 out 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 mai 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

por SOURAV G

20 de jul de 2020

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!

por Abishek G S

17 de ago de 2020

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

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

por Nestor A N

4 de jan de 2022

Great!!! Key to understand how to take advantage of the resources offered by the Google cloud to a modern way to build and process your data.

por Sandeep M

22 de mar de 2020

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

por Piramanayagam U

18 de mar de 2020

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

por Arturo A T

5 de mai de 2020

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.

por Jade N

6 de dez de 2020

Really well put together with interesting content and good examples. The labs allow really good practice and help to build confidence.

por Mus A A

18 de abr de 2020

Modernizing Data Lakes and Data Warehouses with GCP accomodate databases, and table design for to display in reporting by Biq Query.

por Shayan A B

16 de fev de 2020

Very valuable information about data lakes, data warehouses, using Arrays and Structs to store data in BigQuery. Loved the course.

por Barb H

24 de abr de 2020

This course provides a good introduction to Cloud Storage and Big Query as well as a nice overview of data engineering concepts.

por Dustin Z

29 de mar de 2020

Very informative and good level of detail as I progress through the specialization. The hands-on learning is very appreciated.

por Arun K

19 de jan de 2022

i have a great time learning and then implementing the queries in the bigquery thank you for such good initial walkthrough

por Hashan M

30 de abr de 2020

Great and hope to do the rest of specialization. The team ,course content and the resources are highly appreciated. Thanks

por judson g

3 de mai de 2020

very well explained course which gave me a good understanding about he role of a data engineer and its responsibilities

por kishore k

21 de abr de 2020

This course teaches all the basics for big data concepts, targeting GCP products, lot of in-depth coverage on BigQuery