Organizations struggle to manage growing volumes and varieties of data while keeping storage systems cost-effective, high-performance, and aligned with governance expectations.

What you'll learn
Organizations struggle to manage growing volumes and varieties of data while keeping storage systems cost-effective, high-performance, and aligned with governance expectations. In this course, (GCP-PDE) Storing the Data, you'll gain the ability to select, design, and manage the right storage solutions for analytical, transactional, and real-time workloads on Google Cloud. First, you'll explore how to analyze data access patterns and map them to the appropriate storage services across Cloud Storage, BigQuery, Bigtable, Spanner, AlloyDB, and more. Next, you'll discover how to design effective data warehouse and data lake architectures, including modeling, normalization strategies, partitioning, clustering, and lifecycle management. Finally, you'll learn how to build a unified data platform using BigLake, Dataplex, and the Dataplex Catalog to support governance, discovery, and cross-service visibility. When you're finished with this course, you'll have the skills and knowledge of Google Cloud storage and data platform design needed to architect reliable, scalable, and well-governed storage solutions and tackle this subject on the Professional Data Engineer certification.

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