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- BigQuery | AI data platform | Lakehouse | EDW
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
Discover, transform, query, and visualize data with BigQuery data canvas You can use natural language with Gemini in BigQuery, to find, join, and query table assets, visualize results, and seamlessly collaborate with others throughout the entire process
- 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
- Overview of BigQuery analytics | Google Cloud Documentation
BigQuery is optimized to run analytic queries on large datasets, including terabytes of data in seconds and petabytes in minutes Understanding its capabilities and how it processes queries can help you maximize your data analysis investments
- 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 loading data | BigQuery - Google Cloud
This document explains how you can load data into BigQuery The two common approaches to data integration are to extract, load, and transform (ELT) or to extract, transform, load (ETL) data
- Run a query | BigQuery | Google Cloud Documentation
With these jobs, the query runs continuously, letting you analyze incoming data in BigQuery in real time and then write the results to a BigQuery table, or export the results to Bigtable or Pub Sub
- 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
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