Google Cloud Storage, Databases & Analytics

О курсе

Google Cloud Storage, Databases & Analytics is designed to provide learners with a strong understanding of Google Cloud storage, data lakes, managed database services, data warehousing, and analytics capabilities. The course focuses on how Google Cloud services can be used to securely store, manage, optimize, and analyze data at scale. The course is divided into three modules, with each module further segmented into lessons and video lectures. Learners will explore cloud storage and data lake architectures, evaluate managed database solutions for different workloads, and use BigQuery for scalable data warehousing and analytics. Course Modules: Module 1: Cloud Storage & Data Lakes Module 2: Managed Database Services Module 3: BigQuery & Data Analytics By the end of this course, a learner will be able to: Understand Google Cloud Storage and data lake concepts, including data discovery, security, monitoring, and cost optimization. Evaluate and select appropriate managed database services based on workload, connectivity, scalability, performance, and cost requirements. Optimize database solutions across services such as Cloud SQL, Cloud Spanner, AlloyDB, Bigtable, and Firestore. Understand BigQuery capabilities for cloud data warehousing, analytics, monitoring, and query processing. Analyze and visualize data using BigQuery and Looker Studio while understanding data warehouse migration and hybrid multi-cloud concepts. This course is intended for learners who want to develop practical knowledge of Google Cloud storage, databases, data lakes, data warehousing, and analytics and build the skills required to work with modern cloud data solutions.

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