Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

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…

History & Products

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around BigQuery. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

History

2 related topics

Features

4 related topics

Design

1 related topics

Overview

8 related topics

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Owner
Google
Available in
English
Current status
Active
Launched
May 19, 2010; 16 years ago (2010-05-19)
Registration
Required
Type of site
Platform as a service data warehouse

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

History

Design

Features

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

BigQuery

Nodes20
Edges19
Triples46
Avg. degree1.9
Density0.1
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

BigQuery

Top relations

related to Features · 19
BigQuery → Access, Avro, Create, CSV, Google Apps Script, Google Docs, Google Storage, Import, Integration, JSON, Machine, Managing, MB, Parquet, Queries, Query, REST API, Share, SQL
related to history · 9
BigQuery → After, API, Dremel, Google I/O, Google's, However, Initially, May, The
related to Design · 2
BigQuery → Google-proprietary, OAuth
Available in · 1
BigQuery → English
Current status · 1
BigQuery → Active
Launched · 1
BigQuery → May 19, 2010; 16 years ago (2010-05-19)
Owner · 1
BigQuery → Google
Registration · 1
BigQuery → Required
Type of site · 1
BigQuery → Platform as a service data warehouse
URL · 1
BigQuery → cloud.google.com/bigquery

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

google data sql product warehouse platform service available queries large using dialect query language machine learning announced may 2010 2011

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
BigQueryAvailable inEnglish1.00infobox
BigQueryCurrent statusActive1.00infobox
BigQueryLaunchedMay 19, 2010; 16 years ago (2010-05-19)1.00infobox
BigQueryOwnerGoogle1.00infobox
BigQueryRegistrationRequired1.00infobox
BigQueryType of sitePlatform as a service data warehouse1.00infobox
BigQueryURLcloud.google.com/bigquery1.00infobox
BigQueryis amanaged0.90text
tablesinstance ofFeaturesManaging data - Create and delete objects0.80text
viewsinstance ofFeaturesManaging data - Create and delete objects0.80text
and user defined functionsinstance ofFeaturesManaging data - Create and delete objects0.80text
CSVinstance ofImport data from Google Storage in formats0.80text

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.