Cloud Data Lifecycle
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>> Now we're going to talk about the Cloud data lifecycle.
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Our objectives of this lesson are discuss
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the six steps of the cloud data lifecycle,
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the three states that data can take in this lifecycle,
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which are data in transit,
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data in use,
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and data in storage.
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The security considerations for each of these states,
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as well as each of the steps along
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the Cloud data lifecycle. Let's take a look.
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As I said, there are six steps
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in the Cloud data lifecycle.
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It all begins when the data is created.
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Now we've talked about that data should be classified
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to ensure that we know the proper security protections.
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That's the most important thing to do when
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data's created to ensure that it is classified.
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Another consideration in terms of
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the data state is, when it's created,
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if it's outside the Cloud and needs
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to be transmitted to the Cloud,
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data is going over the internet,
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so it is in the state of data in transit.
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Then the data needs to be stored somewhere.
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This is our second step in the lifecycle and
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also reflects another state that data can take.
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Data at rest.
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When data is not moving between
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applications or are being used in a process,
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we described that data as being at rest.
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When data is stored in the Cloud,
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it needs to be encrypted to ensure that it's properly
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protected and only changed by authorized individuals.
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Our next stage, use that data.
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We talked about the value associated with data,
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how we secure database on its criticality,
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now it needs to be used to create
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value for our customers and for our business.
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Data in use is another state.
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Our third state of those
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three data processing stages that we talked about.
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Data in use is when data is used within an application.
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There are actually encryption schemes
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that we'll talk about later that can
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be used when data is in use. Sharing the data.
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You've stored your data, you've used it.
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Now you're figuring out, how do I want to
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share my results or share
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the output of the how that data was processed.
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Sharing data. This is
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again where data may be sent to people outside
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your organization or potentially
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even within the Cloud between
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applications and this is
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another example of data in transit.
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We need to ensure that the proper protocols are
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used when sharing data to keep it safe and
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secure and ensure that
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no unauthorized individuals can
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spy or intercept that data while it's being transmitted.
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Then our fifth stage is archive.
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Archiving the data really hinges on
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having an effective retention policy.
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Different data based on
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its jurisdiction or regulations around it,
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has different potential legal requirements
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for how long it needs to be stored and
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retained and how those storage
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of the data needs to be protected.
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Then ultimately, once that data is no longer required,
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it should be destroyed.
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As soon as data isn't useful,
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or it no longer
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has regulatory requirements for its preservation,
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data should be destroyed,
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but it should be destroyed securely.
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We're going to go into some of the techniques such
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as crypto shredding for how data can be
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encrypted and then the keys that encrypt it are
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destroyed in the Cloud to
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prevent that data from ever being accessed.
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It's almost as though it didn't exist.
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That concludes the end of our data lifecycle here.
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We're creating data, we're storing it, we're using it,
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sharing it, archiving it,
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and then ultimately destroying it.
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Quiz question. What are
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the correct steps of the cloud data lifecycle?
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Create, use, store share, archive and destroy?
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Creates store share, use archive then destroy or create,
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store, use, share, archive, and destroy.
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If you said create store, use, share,
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archive, and destroy you are correct.
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If you didn't get this,
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I've got a little funny saying that I use to
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remember the stages of the cloud data lifecycle.
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When your data wasn't
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protected and someone's got a hold of it,
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you're ultimately became sad
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because you said that
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that data wasn't properly protected.
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Because you create, store use,
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sad; share archive, destroy.
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That helps me, I don't know what will help you,
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but you can keep it in mind because you
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sad that data wasn't properly protected.
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In summary, we talked about
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the phases of the cloud data lifecycle.
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We talked about the different states
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>> that data can take,
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>> and we talked about the security considerations that
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each phase of the cloud data lifecycle.
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