Data Lake Modernization on Google Cloud: Cloud Composer
Data Lake Modernization on Google Cloud: Cloud Composer
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Welcome to Cloud Composer, where we discuss how to orchestrate data lake workflows with Cloud Composer.
Informações sobre o curso
Objetivos
- Create code to process data in Cloud Composer
- Outline the foundational concepts that underpin the orchestration of workflows with Cloud Composer and Apache Airflow
- Describe how you can debug with Cloud Composer
- Orchestrate the movement of data from Microsoft SQL to BigQuery
Pré-requisitos
Required:
Have completed the Data Engineering on Google Cloud training,
Be a Google Cloud Certified Professional Data Engineer or have equivalent expertise in Data Engineering,
Have access to Cloud Connect – Partners.
Recommended:
Experience building data processing pipelines,
Experience with Apache Beam and Apache Hadoop Java or Python programming expertise.
Organizational requirements: The Cloud Partner organization must have implemented at least one Data Warehouse solution previously on any Data Warehouse platform.
Público-alvo
Data Warehouse Deployment Engineers, Data Warehouse Consultants, Data Warehouse Architects. Technical Project Leads, Technical Project Managers, Data / Business Analyst.
Idiomas disponíveis
English
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