Data Lake Modernization on Google Cloud: Data Governance
Data Lake Modernization on Google Cloud: Data Governance
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Welcome to Data Governance, where we discuss how to implement data governance on Google Cloud.
Informações sobre o curso
Objetivos
- Explain why your business needs data governance
- Describe the framework and best practices for data governance in the cloud
- List Google Cloud data security and management services for effective data governance
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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