BigQuery
BigQuery is a serverless data warehouse designed for large-scale analytics using SQL-based queries over massive datasets.
What it does
Data warehouse.
When to use
Use BigQuery when you need analytics, reporting, and large-scale data querying without managing a traditional data warehouse infrastructure.
Key Concepts
BigQuery is designed for large-scale analytical workloads rather than transactional systems.
SQL is used for querying structured and semi-structured datasets.
Serverless design reduces infrastructure management burden.
It is often used for BI, reporting, and data engineering pipelines.
Common Use Cases
Running analytics and business intelligence queries.
Querying large datasets without managing warehouse servers.
Supporting reporting and data engineering workloads.
Interview Questions
What is BigQuery?
How is BigQuery different from a transactional database?
Why is BigQuery considered a data warehouse?