Mit dem Skill-Logo zum Kurs Data Warehouse mit BigQuery erstellen weisen Sie fortgeschrittene Kenntnisse in folgenden Bereichen nach: Daten zusammenführen, um neue Tabellen zu erstellen, Probleme mit Joins lösen, Daten mit Unions anhängen, nach Daten partitionierte Tabellen erstellen und JSON, Arrays sowie Strukturen in BigQuery nutzen.
This course, Modernizing Data Lakes and Data Warehouses with Google Cloud - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Modernizing Data Lakes and Data Warehouses with Google Cloud. 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.