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cases: copy edits to existing Sharing Data page
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jorgeorpinel committed Feb 11, 2022
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5 changes: 1 addition & 4 deletions content/docs/sidebar.json
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}
]
},
{
"label": "Sharing Data and Model Files",
"slug": "sharing-data-and-model-files"
},
"sharing-data-and-model-files",
{
"label": "CI/CD for Machine Learning",
"slug": "ci-cd-for-machine-learning"
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22 changes: 11 additions & 11 deletions content/docs/use-cases/sharing-data-and-model-files.md
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# Sharing Data and Model Files

Like Git, DVC allows for a distributed environment and collaboration. We make it
easy to consistently get all your data files and directories into any machine,
along with matching source code. All you need to do is to setup
[remote storage](/doc/command-reference/remote) for your <abbr>DVC
project</abbr>, and push the data there, so others can reach it. Currently DVC
supports Amazon S3, Microsoft Azure Blob Storage, Google Drive, Google Cloud
Storage, SSH, HDFS, and other remote locations. The list is constantly growing.
(For a complete list and configuration instructions, refer to `dvc remote add`.)

![](/img/model-sharing-digram.png) _Data is stored in storage you control,
separate from code._
Like Git, DVC allows for a distributed environment and collaboration. It makes
it easy to consistently get all your data files and directories into any
machine, along with matching source code.

You setup your own [remote storage](/doc/command-reference/remote), and push the
data there, so others can pull it later. DVC supports Amazon S3, Microsoft Azure
Blob Storage, Google Drive, Google Cloud Storage, SSH, HDFS, and other
providers. The list is constantly growing!

![](/img/model-sharing-digram.png) _Data lives in storage you control, separate
from code._

As an example, let's take a look at how you could setup an S3
[remote storage](/doc/command-reference/remote) for a <abbr>DVC project</abbr>,
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