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Your company plans to migrate a multi-petabyte data set to the cloud. The data set must be available 24hrs a day. Your business analysts have experience only with using a SQL interface. How should you store the data to optimize it for ease of analysis?
Correct Answer: A
Google Big Query is for multi peta byte storage , HA(High availability) which means 24 hours, SQL interface . https://medium.com/google-cloud/the-12-components-of-google-bigquery-c2b49829a7c7 https://cloud.google.com/solutions/bigquery-data-warehouse https://cloud.google.com/bigquery/ BigQuery is Google's serverless, highly scalable, low cost enterprise data warehouse designed to make all your data analysts productive. Because there is no infrastructure to manage, you can focus on analyzing data to find meaningful insights using familiar SQL and you don't need a database administrator. BigQuery enables you to analyze all your data by creating a logical data warehouse over managed, columnar storage as well as data from object storage, and spreadsheets. References: https://cloud.google.com/bigquery/