What type of storage should be implemented to store a multi-petabyte data set, with the goal of optimizing ease of analysis while ensuring 24/7 availability?

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?

A. Load data into Google BigQuery
B. Insert data into Google Cloud SQL
C. Put flat files into Google Cloud Storage
D. Stream data into Google Cloud Datastore.

Given the requirements of the data set, a reliable and highly available data storage solution would be to store the data using Google Cloud Storage buckets. Google Cloud Storage offers very high availability and durability, enabling the data to be always available. Additionally, Google Cloud Storage offers a SQL interface that is familiar to most business analysts, making the data collection and analysis process highly optimized for ease of analysis.

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