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The focus of the storage stage of the data lifecycle is to make data available for transformation and analysis. Several factors influence the choice of storage system, including

 How the data is accessed—by individual record (row) or by an aggregation of columns across many records (rows)

 The way access controls need to be implemented, at the schema or database level or finer-grained level

 How long the data will be stored

These three characteristics are the minimum that should be considered when choosing a storage system; there may be additional criteria for some use cases. (Structure is another factor and is discussed later in this chapter.)

Official Google Cloud Certified Professional Data Engineer Study Guide

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