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  • SQL & NoSQL Databases
  • 1. Relational Database Fundamentals
  • 2. SQL: Basic Data Manipulation (DML)
  • 3. SQL: Filtering and Sorting
  • 4. SQL: Aggregation and Relations
  • 5. SQL: Schema Management (DDL)
  • 6. Python and SQL
  • 7. NoSQL Databases
    • Introduction to NoSQL
    • The CAP Theorem
    • ACID vs. BASE
    • NoSQL Benefits and Drawbacks
    • Cloud Database Solutions
  • References

Cloud Data Storage Solutions

Here is a comparison of some of Google Cloud's data storage solutions:

Cloud Datastore Cloud Bigtable Cloud Storage Cloud SQL Cloud Spanner BigQuery
Type NoSQL document NoSQL wide column Blobstore Relational SQL for OLTP Relational SQL for OLTP Relational SQL for OLAP
Best for Semi-structured application data, durable key-value data "Flat" data, Heavy read/write, events, analytical data Structured and unstructured binary or object data Web frameworks, existing applications Large-scale database applications (> ~2 TB) Interactive querying, offline analytics
Use cases Getting started, App Engine applications AdTech, Financial and IoT data Images, large media files, backups User credentials, customer orders Whenever high I/O, global consistency is needed Data warehousing
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