Bigquery is an English word starting with the letter B. With 5 example sentences you'll see exactly how it works in context.
Bigquery in a sentence
Context around Bigquery
- Average sentence length in these examples: 18.4 words
- Position in the sentence: 2 start, 1 middle, 2 end
- Sentence types: 5 statements, 0 questions, 0 exclamations
Corpus analysis for Bigquery
- In this selection, "bigquery" usually appears near the start of the sentence. The average example has 18.4 words, and this corpus slice is mostly made up of statements.
- Around the word, google, goes and amazon stand out and add context to how "bigquery" is used.
- Recognizable usage signals include analytics and bigquery and bigquery goes further. That gives this page its own corpus information beyond isolated example sentences.
- By corpus frequency, "bigquery" sits close to words such as aaas, aacc and aacs, which helps place it inside the broader word index.
Example types with bigquery
The same corpus examples are grouped by length and sentence type, making it easier to see the contexts in which the word appears:
Leveraging data integrations with Google Analytics and BigQuery. (8 words)
BigQuery goes further with built-in ML and Vertex AI to unlock insights across the organization. (16 words)
The offering, built on architecture, currently supports integration with multiple databases, including Google BigQuery, Amazon RedShift and Postgres. (18 words)
BigQuery is perhaps a better choice for ad hoc reporting, where you have occasional complex reports on a quarterly basis or recommendation models and machine learning that require high idle time. (31 words)
The deal aims to build upon the success of Google Cloud's BigQuery, a tool for managing large datasets. (19 words)
The offering, built on architecture, currently supports integration with multiple databases, including Google BigQuery, Amazon RedShift and Postgres. (18 words)
Example sentences (5)
BigQuery goes further with built-in ML and Vertex AI to unlock insights across the organization.
The offering, built on architecture, currently supports integration with multiple databases, including Google BigQuery, Amazon RedShift and Postgres.
Leveraging data integrations with Google Analytics and BigQuery.
BigQuery is perhaps a better choice for ad hoc reporting, where you have occasional complex reports on a quarterly basis or recommendation models and machine learning that require high idle time.
The deal aims to build upon the success of Google Cloud's BigQuery, a tool for managing large datasets.