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Introduction

In this chapter, we'll discover some use cases for Google's Cloud Storage offerings. Storage is one of the main pillars of any workload to be hosted on Google Cloud Platform (GCP). GCP offers various options for data to be stored. The nature of the data, nature of the workload, scalability and latency needs to dictate the choice of the storage. We'll cover a few examples on Google Storage, Cloud Spanner, Cloud Bigtable, BigQuery and Cloud Datastore.

In addition to Node.js, we'll use Python for a few recipes in this chapter.

The following page is a wonderful guide for choosing a storage option for your particular workload https://cloud.google.com/storage-options/.

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