Google Cloud Data Engineering Foundations
Course Overview
In "Google Cloud Data Engineering Foundations," instructor Bhavani Ravi provides a comprehensive introduction to the world of data engineering through the lens of Google Cloud. This course begins by laying a solid foundation of key data engineering concepts such as ingestion, transformation, and analytics, all within the context of Google Cloud Platform (GCP). Bhavani then delves into the various Google Cloud data storage options, helping learners understand when and how to use each tool to optimize data workflows.
The course also covers Google Cloud data pipelines in detail, exploring their role in modern data engineering workflows and why they are essential for successful data operations. By the end of this course, learners will have the skills to choose the right tools for managing and processing data on Google Cloud, whether they’re dealing with storage, transformation, or analytics.
What You'll Learn
- Understanding of Google Cloud data storage options and when to use each one based on data engineering needs.
- Practical knowledge of data pipelines in Google Cloud, including their use cases and implementation strategies.
- Foundational knowledge in data engineering techniques from ingestion to transformation and analytics, tailored to Google Cloud.
- Skills to design and optimize cloud-based data workflows, making your data engineering tasks more efficient.
694 THB
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Skills You'll Gain:
