BigQuery
Sign in to saveAlso known as Google BigQuery
BigQuery is a managed, serverless data warehouse product by Google, offering scalable analysis over large quantities of data. It is a Platform as a Service (PaaS) that supports querying using a dialect of SQL and Graph Query Language. It also has built-in machine learning capabilities. BigQuery was announced in May 2010 and made generally available in November 2011.
Key facts
- Website.name
- BigQuery
- Website.logo_size
- 128px
- Website.type
- Platform as a service data warehouse
- Website.language
- English
- Website.current_status
- Active
- Website.registration
- Required
- Website.owner
via Wikipedia infobox
Source code
BigQuery is a serverless, highly-scalable, and cost-effective cloud data warehouse with an in-memory BI Engine and machine learning built in. This repository provides useful utilities to assist you in migration and usage of BigQuery. For more information on UDFs and using those provided in the repository with BigQuery, see the README in the udfs folder. To contribute UDFs to this repository, see the instructions in the udfs folder.
Excerpt from the source-code README · 4,234 chars · not written by Vinony
Wikidata facts
- Official website
- cloud.google.com/bigquery
Show 4 more facts
- Stack Exchange tag
- stackoverflow.com/tags/google-bigquery
- service status information URL
- status.cloud.google.com
- publication date
- 2010-05-19
- source code repository URL
- github.com/GoogleCloudPlatform/bigquery-utils
Sources (2)
via Wikidata · CC0
~2 min read
Article
5 sectionsContents
- History
- Design
- Features
- References
- External links
BigQuery is a managed, serverless data warehouse product by Google, offering scalable analysis over large quantities of data. It is a Platform as a Service (PaaS) that supports querying using a dialect of SQL and Graph Query Language. It also has built-in machine learning capabilities. BigQuery was announced in May 2010 and made generally available in November 2011.
== History == Bigquery originated from Google's internal Dremel technology, which enabled quick queries across trillions of rows of data. The product was originally announced in May 2010 at Google I/O. Initially, it was only usable by a limited number of external early adopters due to limitations on the API. However, after the product proved its potential, it was released for limited availability in 2011 and general availability in 2012. After general availability, BigQuery found success among a broad range of customers, including airlines, insurance, and retail organizations.