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