what is Google BigQuery

Google BigQuery is a fully managed, serverless, and cost-effective data warehouse for analytics that handles petabyte-scale data. It allows users to analyze vast amounts of data using familiar SQL queries without managing any infrastructure, making it easy to focus on deriving insights and using built-in machine learning capabilities. BigQuery is part of Google Cloud's data analytics platform, offering a unified experience for data practitioners to collaborate and build AI-ready data workflows. 
Key features

    Serverless and NoOps: BigQuery automatically allocates and manages compute resources, so you don't need to provision or manage any infrastructure or a database administrator.
    SQL-based analysis: It uses a dialect of SQL, making it accessible to users with database querying experience.
    Built-in AI and ML: BigQuery includes built-in machine learning, vector search, and other AI capabilities to help you find deeper insights.
    Scalable performance: It can query terabytes of data in seconds and petabytes in minutes by leveraging Google's large-scale infrastructure.
    Cost-efficient: BigQuery uses a pay-as-you-go pricing model for the storage and processing you use, with options for both on-demand and flat-rate pricing.
    Unified analytics platform: With features like BigQuery Studio, it provides a collaborative workspace for data teams to work together using SQL, Python, and natural language.
    Data governance: It includes built-in governance features powered by Dataplex Universal Catalog for discovering, managing, and securing your data and AI assets.
    Wide data support: BigQuery supports both structured and unstructured data and can ingest data from various sources like Google Cloud Storage, using formats like CSV, Parquet, and Avro.