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.
Acerca de este Curso
- 5 stars72,75 %
- 4 stars22,84 %
- 3 stars3,30 %
- 2 stars0,75 %
- 1 star0,33 %
Principales reseñas sobre MODERNIZING DATA LAKES AND DATA WAREHOUSES WITH GOOGLE CLOUD
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.
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.
bit simple for experienced db users, but the 2nd week does a very useful deep dive into advanced GBQ features like how to properly handle nested fields.
The labs were awesome! The trainers in the video and in the demo were well prepared. The quizes however were short and not well thoughtful.
¿Puedo acceder a una vista preliminar del curso antes de inscribirme?
¿Qué recibiré cuando me inscriba?
¿Cuándo recibiré mi Certificado de curso?
¿Por qué no puedo participar como oyente en este curso?
¿Tienes más preguntas? Visita el Centro de Ayuda al Estudiante.