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What Are GCP Storage Options for Data Engineering? +91-7032290546
Introduction to GCP Storage • What is data storage in GCP? • Importance of choosing the right storage option • Key factors: scalability, cost, performance +91-7032290546
Cloud Storage (Object Storage) • Overview of Google Cloud Storage (GCS) • Features: durable, scalable, multi-regional • Use cases: backups, big data lakes, media storage +91-7032290546
BigQuery (Data Warehouse Storage) • Overview of BigQuery for analytical storage • Features: columnar storage, serverless, real-time insights • Use cases: large-scale analytics, BI, reporting +91-7032290546
Cloud SQL & Cloud Spanner • Cloud SQL: Managed MySQL, PostgreSQL, SQL Server • Cloud Spanner: Horizontally scalable, globally distributed • Use cases: transactional databases, financial systems +91-7032290546
Firestore & Bigtable • Firestore:Serverless NoSQL, document-based, real-time • Bigtable: High-throughput, low-latency, time-series data • Use cases: IoT, personalization, recommendation engines +91-7032290546
Choosing the Right Storage Option • Comparison table: Performance, cost, use case • When to use which storage solution +91-7032290546
Conclusion & Next Steps • Summary of storage options • How to integrate storage with GCP data pipelines • Next steps: Hands-on practice, certifications
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