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BigQuery Table Snapshots vs Clones vs Copies Explained

Lesson 19

BigQuery Table Snapshots vs Clones vs Copies Explained

In BigQuery, a table snapshot is a read-only point-in-time backup of a table, mainly used for recovery and auditing. A table clone creates a lightweight writable copy that initially shares the same underlying storage as the source table, making it fast and cost-efficient for testing or development. A table copy creates a full independent duplicate of the table with separate storage, typically used for migrations, backups, or moving data between datasets and regions.

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Curriculum

19 lessons · 47m

0/19 lessons done47m left
  1. 02:40

    BigQuery vs Traditional Databases: What Makes It Different?

    02:40

  2. 02:43

    BigQuery Architecture Explained Simply: Dremel, Colossus, Jupiter & Borg

    02:43

  3. 02:26

    Why BigQuery Separates Storage and Compute — And Why It Matters for Business

    02:26

  4. 0402:23

    BigQuery Dataset vs Project vs Table Explained Simply

    02:23

  5. 0502:41

    BigQuery Data Types Explained: Standard SQL vs BigQuery-Specific Types

    02:41

  6. 0602:24

    BigQuery Table vs View vs Materialized View Explained

    02:24

  7. 0702:31

    BigQuery Slots Explained: How Queries Use Compute Resources

    02:31

  8. 0802:25

    How BigQuery’s Columnar Storage Makes Queries Faster Than Row-Based Databases

    02:25

  9. 0902:40

    BigQuery Limitations Compared to PostgreSQL OLTP Databases

    02:40

  10. 1002:26

    BigQuery Table Partitioning Explained: Improving Cost and Query Performance

    02:26

  11. 1102:22

    BigQuery Partitioning Types Explained: Date, Ingestion-Time, Integer-Range & Time-Unit Columns

    02:22

  12. 1202:26

    BigQuery Clustering vs Partitioning Explained Clearly

    02:26

  13. 1302:24

    Using Partitioning and Clustering Together in BigQuery: When and Why

    02:24

  14. 1402:35

    Designing BigQuery Partitioning for Large Time-Series Tables (10 TB+)

    02:35

  15. 1502:17

    BigQuery Partition Performance Without a WHERE Filter on the Partition Column

    02:17

  16. 1602:23

    BigQuery require_partition_filter Explained: Why It’s a Best Practice for Large Tables

    02:23

  17. 1702:23

    BigQuery Schema Evolution Explained: Adding New Columns Safely

    02:23

  18. 1802:24

    BigQuery Time Travel Explained: Recovering Accidentally Deleted Tables

    02:24

  19. 02:25

    BigQuery Table Snapshots vs Clones vs Copies Explained

    02:25