| 词条 | BigQuery |
| 释义 |
| name = BigQuery | type = Platform as a service | language = English | current status = Active | url = {{URL|https://cloud.google.com/products/bigquery/}} | registration = Required | owner = Google | launch date = {{start date and age|2010|5|19}} }} BigQuery is a RESTful web service that enables interactive analysis of massively large datasets working in conjunction with Google Storage. It is a serverless Platform as a Service (PaaS) that may be used complementarily with MapReduce. HistoryAfter a limited testing period in 2010, BigQuery was generally available in November 2011 at the Google Atmosphere conference.[1] In April 2016, European users of the service suffered a 12-hour outage.[2] In May 2016, support was announced for Google Sheets.[3] DesignBigQuery provides external access to the Dremel technology,[4][5] a scalable, interactive ad hoc query system for analysis of read-only nested data. BigQuery requires all requests to be authenticated, supporting a number of Google-proprietary mechanisms as well as OAuth. Features
References1. ^{{Cite web |title= Google opens BigQuery for cloud analytics: Dangles free trial to lure doubters |author= Iain Thomson |date= November 14, 2011 |url= https://www.theregister.co.uk/2011/11/14/google_bigquery_cloud_analytics/ |accessdate = August 26, 2016 }} 2. ^{{Cite web |title= Google Euro-cloud glitch |author= Simon Sharwood |date= April 7, 2016 |url= https://www.theregister.co.uk/2016/04/07/google_cloud_in_12hour_euro_pitstop/ |accessdate = August 26, 2016 }} 3. ^{{Cite web |title= Google BigQuery now lets you analyze data from Google Sheets |author= Jordan Novet |date= May 6, 2016 |url= https://venturebeat.com/2016/05/06/google-bigquery-now-lets-you-analyze-data-from-google-sheets/ |accessdate = August 26, 2016 }} 4. ^{{cite web|url=http://research.google.com/pubs/pub36632.html|author1=Sergey Melnik |author2=Andrey Gubarev |author3=Jing Jing Long |author4=Geoffrey Romer |author5=Shiva Shivakumar |author6=Matt Tolton |author7=Theo Vassilakis |work=Proc. of the 36th International Conference on Very Large Data Bases (VLDB)|year = 2010|title=Dremel: Interactive Analysis of Web-Scale Datasets}} 5. ^{{Cite web |publisher= Google |title= An Inside Look at Google BigQuery |author= Kazunori Sato |year= 2012 |url= https://cloud.google.com/files/BigQueryTechnicalWP.pdf |accessdate = August 26, 2016 }} 6. ^{{cite web|title=SQL Reference|url=https://cloud.google.com/bigquery/docs/reference/standard-sql/|accessdate=26 June 2017}} 7. ^{{cite web|title=Quota Policy|url=https://cloud.google.com/bigquery/quota-policy#queries|accessdate=26 June 2017}} 8. ^{{Cite web |title= BigQuery Service | Apps Script | Google Developers |date= March 15, 2018 |url= https://developers.google.com/apps-script/advanced/bigquery |accessdate = April 23, 2018 }} 9. ^{{cite web|title=BigQuery Client Libraries|url=https://cloud.google.com/bigquery/docs/reference/libraries|accessdate=26 June 2017}} External links
4 : Web services|Google|2010 software|Computer-related introductions in 2010 |
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