Modernizing Data Lakes and Data Warehouses with Google Cloud (MDLDW)

Differentiate between data lakes and data warehouses.
Explore use-cases for each type of storage and the available data lake and warehouse solutions on Google Cloud.
Discuss the role of a data engineer and the benefits of a successful data pipeline to business operations.
Examine why data engineering should be done in a cloud environment.

Basic proficiency with a common query language such as SQL.

This course is intended for developers who are responsible for querying datasets, visualizing query results, and creating reports.

Specific job roles include:

Data engineer
Data analyst
Database administrators
Big data architects

7

Ort:

Virtuelles Live Training

Zeitraum:

30.04.2026

Dauer:

1 Tag

Preis:

950,00 €
(1.130,50 € inkl. MwSt.)

Frühbucherpreis:

921,00 € (1.095,99 €)

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