- BigQuery | AI data platform | Lakehouse | EDW | Google Cloud
BigQuery supports all data types, works across clouds, and has built-in machine learning and business intelligence, all within a unified platform With native Vertex AI integration, you can easily connect your data to Google's industry leading AI without leaving BigQuery
- BigQuery overview - Google Cloud
BigQuery interfaces include Google Cloud console interface and the BigQuery command-line tool Developers and data scientists can use client libraries with familiar programming including Python, Java, JavaScript, and Go, as well as BigQuery's REST API and RPC API to transform and manage data
- 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 | AI データ プラットフォーム | レイクハウス | EDW | Google Cloud
BigQuery は、データ ライフサイクル全体を自動化する自律型のデータ AI プラットフォームです。 これにより、データから AI への移行、そしてアクションまでをより迅速に行うことができます。
- Introduction to SQL in BigQuery - Google Cloud
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
- Enable the BigQuery sandbox - Google Cloud
The BigQuery sandbox lets you experience BigQuery without providing a credit card or creating a billing account for your project If you already created a billing account, you can still use BigQuery at no cost in the free usage tier
- BigQuery explained: An overview of BigQuerys architecture
In this first post, we will look at how data warehouses change business decision making, how BigQuery solves problems with traditional data warehouses, and dive into a high-level overview of BigQuery architecture and how to quickly get started with BigQuery
- BigQuery | Plataforma de datos de IA | Lakehouse | EDW | Google Cloud
BigQuery es una plataforma autónoma de datos a IA que automatiza todo el ciclo de vida de los datos, desde la ingestión hasta la obtención de información valiosa basada en IA, para que puedas pasar de los datos a la IA y, a partir de ahí, pasar a la acción más rápido
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