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Hybrid cloud analytics: What is it and why?

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There is a lot of hype around hybrid cloud analytics. However, since it’s a term probably first created by vendors, and often used as a description in a variety of cloud products, it’s important to understand what it should be, and why it’s needed.

 

What is a hybrid cloud?

Before dealing with the analytics definition, it’s important to know what a hybrid cloud is.

Linking a mixture of on-premise private and/or public cloud infrastructures to work together for the delivery of a service creates a hybrid cloud system.

 

A hybrid cloud involves uses a mixture of private and/or public infrastructures.

 

The benefit of this setup is the cost-effective scalability available while protecting your business’s interests. By employing a hybrid cloud setup you can keep all sensitive operations within the on-premise private cloud, allowing full and secure ownership. Meanwhile, the public cloud generally offers more dynamic and economical scalability for all other business operations.

 

What is hybrid cloud analytics?

When defining hybrid cloud analytics, it’s important to not confuse it with an analytics system that’s simply been extended onto the hybrid cloud from an on-premise installation. Instead, hybrid cloud analytics is when a hybrid cloud is used to perform the data analysis across the information held there, and at varying locations within the setup.

 

A proper hybrid cloud analytics setup should involve the following:

 

  • Transparency - Users should know where the data is being stored and where the analytics are being performed.

  • Central access control - Linking into how the different clouds should work in tandem with each other, you should find it simple to manage user entitlements across the hybrid cloud.

  • User access - Depending on their entitlements, users should have full access to the data from any device.

  • Bi-directional data migration - Data should be able to move seamlessly from one infrastructure to another, and back again without an issue.

  • Location control - Users should be able to create rules around where certain analytics are performed or data is held.

  • Single console management - The management of hybrid cloud analytics should be run via one console, to ensure that complete and seamless control is given to the user overall infrastructures.

 

With hybrid cloud analytics, you should have complete control of your data from a single console.

 

Why is hybrid cloud analytics important?

 

A true hybrid cloud analytics approach is essential to ensure that the system works to enable your cloud needs, rather than limiting or dictating it by not being set up properly.

 

Having a hybrid cloud is especially useful for dynamic or changeable workloads, so ensuring that your analytics can also handle this is important.

 

Hybrid cloud analytics could also provide a solution for handling and analysing big data. By using hybrid cloud analytics, the computational power involved is enhanced by having access to multiple machines to run the analytics across.

 

If you’d like to know more about hybrid cloud analytics and managing your digital transformation, contact the team at FinXL for support today.