- BigQuery | AI data platform | Lakehouse | EDW - Google Cloud
BigQuery is Google Cloud’s fully managed and completely serverless enterprise data warehouse BigQuery supports all data types, works across clouds, and has built-in machine learning and business intelligence, all within a unified platform
- BigQuery overview | Google Cloud Documentation
Big Query overview BigQuery is a fully managed, AI-ready data platform that helps you manage and analyze your data with built-in features like machine learning, search, geospatial analysis, and business intelligence
- BigQuery documentation - Google Cloud
BigQuery is Google Cloud's fully managed, petabyte-scale, and cost-effective analytics data warehouse that lets you run analytics over vast amounts of data in near real time
- BigQuery | Google Cloud
BigQuery ML built-in models are trained within BigQuery, such as linear regression, logistic regression, k-means, matrix factorization, PCA, and ARIMA models The pre trained TimesFM model is also considered a built-in model
- Try BigQuery using the sandbox | Google Cloud Documentation
Use the BigQuery sandbox to query a public dataset and visualize the results, learn about the BigQuery sandbox limitations, and learn how to upgrade from the BigQuery sandbox
- Explore BigQuery in the Google Cloud console | Google Cloud Documentation
Shows how to use the Google Cloud console to work with BigQuery projects, display resources (such as datasets and tables), compose and run SQL queries, and view query and job histories
- Introduction to SQL in BigQuery | Google Cloud Documentation
For information about how to run a SQL query in BigQuery, see Running interactive and batch query jobs For more information about query optimization in general, see Introduction to optimizing query performance
- Overview of BigQuery analytics | Google Cloud Documentation
Describes how BigQuery processes queries and introduces important BigQuery analytic features and tools
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