Unmanaged Database; An Introduction

 

Data is the king in the age of AI. However, data integration is often a laborious task that is hard to automate. Schema change is one significant obstacle to the automation of the end-to-end data integration process. Although there exist mechanisms such as query discovery and schema modification language to handle the problem, these approaches can only work with the assumption that the schema is maintained by a database. However, we observe diversified schema changes in hetergeneous data and open data, most of which has no schema defined. In this work, we propose to use deep learning to automatically deal with schema changes through a super cell representation and automatic injection of perturbations to the training data to make the model robusy to schema changes. Our experimental results demonstrate that our proposed approach is effective for two real-world data integration scenarios: coronavirus data integration, and machine log integration.

Unmanaged Cloud

In the unmanaged delivery model, infrastructure resources are provided to cloud consumers and availability levels don't go beyond that layer. IBM SoftLayer uses this as its standard delivery model. Provisioning support is provided through the service catalog portal. Organizations and business units can be self-sufficient, ordering the compute network and storage resources they require.

With an unmanaged cloud, the cloud consumer has administrative acces to manage the OS directly or use management services from a third-party provider. It is important to note, in this model the cloud IaaS provider is only responsible for the infrastructure availability, and OS, middleware or database management is not included.

Organizations tend to use the unmanaged model for development and test environments, especially for creating new applications that are able to scale resources up and down, such as virtual CPU, memory and storage, through the use of application programming interfaces (APIs).

In my opinion, the managed cloud delivery model is the best fit for mission-critical workloads, such as production systems and systems of record. These workloads in a cloud-enabled environment usually require scalable components in a virtualized infrastructure, along with automated lifecycle features.

Unmanaged cloud is the best fit for cloud native environments, also known as "born on the cloud," which demand elastic infrastructure in a standardized infrastructure, such as systems of engagement or development and test environments.

Managed vs. Unmanaged Cloud

Businesses have an expanded set of options for operating in the cloud with RapidScale. They can choose to manage their cloud infrastructure themselves or opt for a managed cloud and have a provider like us shoulder the burden of day-to-day management. These options allow clients to decide just how involved they want the provider to be.

Both solutions certainly have their advantages, and it truly depends on the business to determine which is the best fit. You have to determine how much your company needs to use the services and how much flexibility vs. support you will ultimately need from the provider. This requires a familiarity with your own needs and goals.

Managed Cloud Computing

A managed cloud service is an arrangement allowing the customer to "subscribe" to the desired solution(s). As the provider, we offer availability, redundancy, support, monitoring and more in this situation. Together, we develop your cloud game plan and move forward from there. The customer is able to harness the power of the cloud without worrying about the cost, stress or time it takes to manage it. Businesses can choose whether or not to include RapidScale managed implementation and overall management.

RapidScale managed solutions include management features like: end-use troubleshooting and device setup, operating system management, 100% SLA, licensing management, application management, patches and upgrades to server, managed backups, 24 * 7 * 365 support and more.

Managed cloud is often the better solution if a business doesn't have a solid IT team or is uncomfortable with the full deployment of hosting software.

Businesses receive full support of the provider and can work together to create the perfect solution. The provider takes care of management and provides guidance and support whenever it's needed.

Using a managed cloud provider, like RapidScale, means you work together. In this situation you're still accessing the huge benefits of the cloud and top-notch technology, but you also get a team of experts that has your back and runs all of this technology for you. This model is similar to subscribing for a service, because you get to the end resource without all the hassle.