GCP: Database and Storage

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GCP: Database and Storage

Coursera · Intermediate ·📊 Data Analytics & Business Intelligence ·3mo ago

Key Takeaways

Explores Google Cloud Platform services including Cloud SQL, Bigtable, Firestore, Spanner, and BigQuery for data analytics and storage

Original Description

GCP: Database and Storage is the second course of Exam Prep: Google Certified Professional Cloud Architect Specialization. This course offers a comprehensive journey through advanced data, storage, analytics, and reliability services on Google Cloud Platform (GCP) using Cloud SQL, Bigtable, Firestore, Spanner, and BigQuery, providing architectural understanding, real-world analytics use cases, and capacity planning strategies. Learners will explore Cloud Storage, Storage Transfer Service, and Transfer Appliance, focusing on cost optimization and integrations with other cloud services. The course also introduces GCP-native data pipelines using Cloud Dataflow, Cloud Dataproc, and Cloud Dataprep, empowering learners to process and transform data at scale. This course is ideal for: - Cloud engineers and DevOps professionals moving into architecture roles. - System administrators and solution architects aiming to validate their GCP skills. - IT professionals seeking to grow into high-impact cloud design and governance roles. - Anyone who wants to master how to design scalable, secure, and resilient solutions on Google Cloud. By the end of the course, you will be able to: - Understand Google Cloud’s Core Managed Databases and Storage Options. - Develop Proficiency in Data Analytics and Visualization Tools. - Implement Scalable Data Processing and Transfer Pipelines.
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