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.
Course Info
Objectives
- 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
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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