Database Reference
In-Depth Information
ideal storage solution for many big data implementations. Regardless of the
service provider, the feature set among cloud storage providers is similar,
including advanced features such as advanced security options, backup or
snapshot capabilities, and content-delivery networks.
Both Amazon S3 and Microsoft Azure Blob Storage are centered on a
top-level root directory or container (called a bucket in S3). These
containers can contain an unlimited number of files and folders and can
scale to any size you require. Likewise, these containers allow you to apply
general security and access policies to prevent or allow access as required.
To better illustrate how these containers work, we will use the following
example:
• Account: mycorp
• Container/bucket: demo
• Folder: weblogs
• File: server1.csv
When using Amazon S3, the URL of your bucket is a globally unique name.
This results in the URL for your file follows:
http://demo.s3.amazonaws.com/weblogs/server1.csv
On the Azure Blob Storage service, both your account name and container
name are included resulting in a URL that looks like this:
http://mycorp.blob.core.windows.net/demo/weblogs/
server1.csv
Access to both containers is provided via REST web APIs that allow for
creating, modifying, and deleting folders and files within the containers.
Each API also supports the creation and deletion of containers/buckets on
the fly.
Uploading Your Data
Bigdatapresentschallengesintermsofhowdataisprocessedandmanaged.
If you are going to host your data in the cloud, you are also confronted with
the task of efficiently moving your data into the cloud in a timely manner.
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