Quick Overview of BigQuery Materialized Views: Effortless Solution to Incremental Loads
Materialized View = Auto Incrementally Update Table
Keeping your data warehouse or data lake up-to-date with the latest information is crucial for data-driven decision making. Incremental loading, the process of integrating new or updated data into existing tables, is essential for this purpose. However, traditional approaches often involve complex staging areas and data pipelines, adding overhead and complexity.
This article introduces BigQuery materialized views, a powerful feature that simplifies incremental loads in BigQuery. We’ll explore how materialized views combine the strengths of tables and views to deliver an effortless solution.
Traditional Incremental Loads: The Staging Area and Data Pipeline Dance
Traditionally, incremental loading relies on two key components:
- Staging Area: A temporary storage location, typically another table, that holds the new or changed data before it’s loaded into the main table.
- Data Pipeline: The process that retrieves data from its source, transforms it as needed, and then loads it into the staging area and ultimately the main table.
