- Eliminates the need to buy, build, and operate computing hardware.
- Getting queries answered rapidly over very large data sets.
- Accelerates development for batch and streaming data processing pipelines.
- Allows for fast SQL queries on structured data.
Automates loading data into BigQuery from YouTube, AdWords, and DoubleClick. Allows organizations to easily use MapReduce, Pig, Hive, and Spark to process data before storing it, for example, in Cloud Storage or BigQuery. Scales up to handle massive computing loads quickly and eﬃciently. Analyzes data to capture insights to be used for more informed decision making. […]
Customer 360 analysis and log analysis Availability, security, and preferred locations Machine learning APIs and Tensorﬂow Massively parallel databases and multiple data marts Download Google Cloud Platform Business Professional Accreditation Exam Answers (PDF)
BigQuery has the ability to scale seamlessly; what is another beneﬁt when it comes to infrastructure?
Almost NoOps, with downtime-free upgrades and maintenance No queries Empty space storage ZeroOps, with governance or maintenance required Download Google Cloud Platform Business Professional Accreditation Exam Answers (PDF)