As the amount of data constantly grows, an ever increasing cost and administrative burden is placed on your company. Both warm and cold data (which may be used less frequently or only sporadically) should be stored as cost-effectively as possible, but the latter should be able to be retrieved as quickly as frequently used data when it is needed. More and more companies are adapting their storage strategy by switching from a data warehouse to a data lake, based on Google Cloud Storage, for example. When you use a GCS data lake as your central data repository, any data up to the petabyte or even exabyte range can be stored and retrieved. Valuable company data can thus be kept available for other applications without the burden of cost-intensive storage resources, such as flash memory. Archived data can be restored within milliseconds if required for analytical applications, for example.