13 Key Features and Advantages of Oracle Analytics Cloud

13 Key Features and Advantages of Oracle Analytics Cloud

You must be aware of the benefits offered by the Cloud for both consumers and software development companies. It is evident due to the high pace of upgrades and improvements. In the earlier days of on-premises computing, software organisations had to ensure that their software and their enhancements worked with different operating systems, databases, middleware and security systems. Handling the chaos was often done using spreadsheets. The times have changed and the consumers can reap all the benefits.

Oracle Analytics Cloud (OAC) is an extensive portfolio of analytics offerings developed for the cloud; deployed in the cloud; and allowing data analysis for the cloud or on-premises. From visualisation and data preparation to enterprise reporting and analytics to user driven modelling, Oracle Analytics Cloud offers a comprehensive set of features.

In this blog, we will discover the features and benefits of Oracle Analytics Cloud. Oracle Analytics Cloud on Gen 2 is developed completely on Oracle Cloud Infrastructure Gen 2. It is a combination of market-leading cloud analytics capabilities of Oracle Analytics Cloud with the compelling service administration of Oracle Cloud.?

Oracle Cloud Infrastructure Console

  • Offers an incredible user experience with Oracle Cloud’s comprehensive service management ecosystem.
  • Streamlines creating and managing Oracle Analytics Cloud instances.

Compartments

  • In Oracle Cloud Infrastructure Gen 2, it is possible to use compartments to organise and manage access to all the cloud resources.
  • Manage your Oracle Analytics Cloud instances into different compartments. For instance, you can create separate compartments for development, test, and production, and hence you can control who creates and manages instances using the department.

Oracle Cloud Infrastructure Identity and Access Management (IAM)

  • It offers a rich permission model that provides users the required access to Oracle Analytics Cloud instances. For instance, manage (create, edit, move) or view only access.
  • Allows you to grant view access to instances per compartment. For instance, it is possible to give users the view access to development and test but no access to production.

Tagging

  • It enables you to identify the keys and values, and link those tags with your cloud resources.
  • Allows you to organize and list resources depending on your business requirements, and enables you to use tags in searches and policies to assign access to tagged resources.

Vanity URL

  • It is possible to use your own vanity URL for Oracle Analytics cloud, rather than using the default URL offered by Oracle.
  • It is significantly easy to configure.

Public or Private Endpoint

  • There is an option to make your Oracle Cloud Analytics instance with a public internet accessible endpoint or restrict access using a private endpoint.
  • Public endpoint: It is a restricted access using a single or more access control rules.
  • Private endpoint: Set up instances with private access only.

Private Access Channel

  • It is possible to connect easily to private data sources in your virtual cloud network (VCN) on Oracle Cloud Infrastructure on other networks linked to the VCN like your corporate network.
  • A direct and safe connectivity without the requirement for you to install an agent similar to Remote Data Gateway.

Customer-Managed Encryption

  • Configure custom encryption keys for your Oracle Analytics Cloud instances or allow Oracle to manage your data encryption.
  • Use Vault services in Oracle Cloud Infrastructure to create, manage, and store your encryption keys.

Oracle Analytics Cloud Instances

  • Create an Analytics Cloud Instance with the help of Console, REST API, or Command Line.
  • Change the description, license type, and include tags.
  • Pause and resume
  • Scale up and down?
  • Analyze usage costs
  • Review audit logs

REST API and Command Line Interface (CLI) features:

  • Oracle Cloud Infrastructure Generation 2 provides a rich set of REST APIs and CLI commands.
  • Create, edit, scale, move, and delete Oracle Analytics Cloud instances programmatically.
  • Execute various configuration tasks like managing private access channels, vanity URLs, and network endpoints.

Performance Monitoring and Metrics

  • Integration with Oracle Cloud Infrastructure’s monitoring service.
  • Get a view of the charts that depict the percentage query capacity and the total number of connection requests that failed for each Oracle Analytics cloud instance.
  • Additional metrics are planned with this as well.

Compartment Quotas

  • Compartment quotas offer better control on how resources are used in Oracle Cloud Infrastructure, allowing admins to allocate resources to compartments with the help of Console. For instance, Oracle Analytics Cloud admins can limit how many Oracle Analytics Cloud instances users can create in a single compartment.

Automating with Events

  • It is easy to automate actions depending on state changes using event types, rules, and actions.
  • For instance, a rule can be defined that sends a notification to the admins when someone deletes an Oracle Analytics Cloud instance.

How to get Oracle Analytics Cloud on Gen 2?

Users with a Universal Credits subscription can get direct access to Oracle Analytics Cloud on Gen 2. It is possible to create an Oracle Analytics Cloud instance on Gen 2 with the help of Oracle Cloud Infrastructure Console, REST API, or command line.?

What will happen to your current Oracle Analytics Cloud instances on Gen 1?

If you have subscribed via Universal Credits, Oracle will automatically upgrade your Oracle Analytics Cloud instances created with Professional Edition or Enterprise Edition on Gen 1 to Gen 2. It will also offer you additional details and a timeline before the upgrade.?

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