NetApp® Cloud Data Sense, powered by powerful AI algorithms, offers automatic controls and reporting so you can always maintain control of your data. Data availability, completeness, ownership, and quality are critical for improving business efficiency and lowering costs. Make smart data decisions, as well as automate and execute those long-delayed data optimization plans.
NetApp Cloud Data Sense automatically finds maps and categorizes your data, no matter where it is. You can use Cloud Data Sense to automatically label and act on data stored in files as well as database entries. Cloud Data Sense simplifies data governance by utilizing fine-grained data parameters and AI-driven context-specific language identification. It constantly visualizes your data for you. Cloud Data Sense allows you to analyze a diverse and expanding set of data sources. Unstructured and structured data can be analyzed in the cloud or on-premises.
- 1 NetApp Cloud Data Sense
- 2 Deployment of Cloud DataSense
- 3 Size of an Instance
- 4 Cloud Data Sense from NetApp Questions and Answers
NetApp Cloud Data Sense
NetApp Cloud DataSense provides a SaaS dashboard for data compliance (across multiple standards), inventory, and governance. It can be deployed on AWS or on-premises to scan as well as classify data without ever sending back the contents.
The service supports not only S3 but also NFS but also CIFS-based data shares such as EFS and FSx. It can also scan OneDrive and, in the near future, Sharepoint Online & Exchange Online. This combination serves as a focal point for raising data risk awareness, sensitive data, and locating entries for particular individuals (EU Right to be Forgotten).
What about the cost? Aside from the required EC2 instances, it is free for the first 1TB of data and then charges a reasonable fee.
So, let’s see how we can use this.
Step 1: NetApp Cloud Manager
As a SaaS solution, you must first create an account at NetApp Cloud Central, which is free of charge. The Cloud Manager interface provides access to DataSense as well as all NetApp services, such as data replication as well as backup solutions.
Step 2: Connector Configuration
Following that, you must utilize a connector instance that connects your AWS Account/VPC to the NetApp SaaS service. You can deploy services from the Cloud Manager SaaS interface, such as DataSense, with a working connector.
There are two deployment models to choose from:
Amazon Web Services Marketplace:
You create an Instance Profile with the necessary permissions and use Marketplace to launch the connector instance. This method of deployment has the benefit of not hardcoding access keys and instead relying on automatically rotated credentials. It will also restrict our future access to DataSense by requiring VPN connections to your VPC.
All deployments can be automated by creating an IAM user with a corresponding policy and adding their access keys to the Cloud Manager SaaS interface. You will also have immediate access to DataSense through the SaaS portal.
As always, please check the linked policies to ensure they are up to date and that you agree to their (broad) privileges.
Instance sizes begin at t3.xlarge, making running the Connector fairly priced. As soon as the Connector is complete, your S3 buckets will appear in the Canvas.
For data replication and backup, you could also include your Cloud Volumes Service for AWS, ONTAP Select, FSx for ONTAP, or on-premises storage systems/shares. However, that is outside the scope of this document.
Deployment of Cloud DataSense
We can now deploy additional products like DataSense because our AWS account is incorporated with the NetApp solutions.
First, we must create an EC2 instance role, which will be stretched by policies granting access to the various AWS services. If you would like to scan S3 buckets, you’ll need a variant of the S3 API.
The clear recommendation is to create an S3 Endpoint for your VPC to bypass your NAT Gateways.
Dispatching via NetApp CloudManager has become a wizard-led task that can be accessed from the NetApp Canvas’s “Data Sense” menu.
To allow the functionality of DataSense, you eventually need to target it to your unearthed S3 buckets and classify them into “Map” (only work with document metadata) or “Map + Classify”.
Any extra data sources can be added using the various wizards under “Data Sense / Configuration” in guided steps.
Size of an Instance
The DataSense instance runs by default on an m5.2xlarge, which is the recommended size. However, for smaller environments, 8 vCPUs and 16 GB of memory are sufficient and supported. In such cases, c5a.2xlarge or t3a.2xlarge example kinds may suffice, saving 60% of the cost.
Cloud Data Sense from NetApp Questions and Answers
Q: With what types of users and organizations do NetApp Cloud Data Sense work?
A: NetApp Cloud Data Sense works with the following users and organizations: Mid-Size Businesses, Nonprofits, Enterprises, Small Businesses, Freelance, and Government are all examples of business types.
Q: What languages are supported by NetApp Cloud Data Sense?
A: NetApp Cloud Data Sense is available in the following languages: English.
Q: What kind of support does NetApp Cloud Data Sense provide?
A: NetApp Cloud Data Sense provides support during business hours as well as online.