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.
Informações sobre o curso
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
- 5 stars72,68%
- 4 stars22,95%
- 3 stars3,31%
- 2 stars0,73%
- 1 star0,30%
Principais avaliações do MODERNIZING DATA LAKES AND DATA WAREHOUSES WITH GOOGLE CLOUD
Very valuable information about data lakes, data warehouses, using Arrays and Structs to store data in BigQuery. Loved the course.
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.
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.
Really good course for beginners this will help them to understand about Data Lakes, Data Warehouses, BigQuery,Google Storage & Cloud SQL.
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