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.
Course Info
Objectives
- 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
Prerequisites
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.
Audience
Data Warehouse Deployment Engineers, Data Warehouse Consultants, Data Warehouse Architects. Technical Project Leads, Technical Project Managers, Data / Business Analyst.
Available languages
English
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