Executing cloud migration can be possible in two ways. First is when you move your data from IT resources or legacy systems to the cloud, and second is when you move in between cloud service providers. The possibilities that the cloud brings are infinite, and if companies explore them, they’ll discover many benefits for their development.
Today, multiple ways to store or manage data exist, but one gets highlighted over the rest due to it bringing fantastic benefits for companies that generate a great volume of data which needs to be scalable to harness it. We are talking about the cloud.
Previously to cloud solutions, organizations used other physical and digital tools to store their data and all kinds of information on-premise, these are called legacy systems.
A legacy system is an old or outdated system, software, or technology that is still being used by organizations to save and store data. Eventually, this type of system cannot be replaced and is limited to updates or growth.
One of the issues of maintaining legacy systems comes from the current performance in businesses, which requires demanding activities such as new laws, market conditions, data regulations, and political compliances, among others. These changes and updates make it difficult for IT professionals to be consistent due to the need for many people to update data.
Despite their problems, legacy systems continue to be common within organizations, which makes the goal of stakeholders to seek and analyze a solution for operations, and the main option is cloud migration.
For identifying legacy systems, there are signals that IT professionals can recognize immediately: system owner discontinues the product or the product and updates no longers exist, it is impossible to escalate, and staff is not qualified to manipulate it.
However, enterprises keep using legacy systems, what is the cause of this? Here is a list of some of those reasons:
Several risks and issues exist that companies tend to overlook regarding legacy systems, which are:
Despite all of the previous reasons, companies can still operate with legacy systems. Then, why is migration to the cloud the next step?
Before the COVID-19 pandemic, the use of the cloud was growing exponentially, but this historic event forced cloud adoption in many companies, which brought multiple benefits to people who manage data.
The first step to understanding the transition from legacy systems to the cloud is to learn more about data migration. This concept refers to updating and migrating legacy systems. For ensuring a successful migration process you should consider that existing data can be extracted safely, matched with new formats, and cleaned, to later execute tests to guarantee an accurate migration process.
Some of the main advantages of cloud services are scalability and growth, but there are more. Today, the cloud is a fixture due to its effectiveness and benefits.
Likewise, providers are responsible for hardware, network, and suitable facilities to run systems. This means that companies shouldn't invest in research, maintenance, and infrastructure development.
This new business model allows directing efforts to other fields requiring more attention or investment and being competitive in the business world.
The aforementioned problems disappear by storing data remotely in a cloud system. To avoid data leaks, service providers offer multi-level authorization features to identify who is accessing information.
Like every digital transformation process, cloud migration has challenges that you should know before starting a process like this. Here is a list of challenges that stakeholders and IT experts face on the path to becoming Data-driven.
In order to perform data migrations from legacy systems to the cloud, it is necessary to develop a strategy and have a team of experts to make the transition in the smoothest way available for the company’s information integrity.
In Arkon Data we offer a complete solution according to your business’s requirements. We execute accurate implementations since we have the technology and the knowledge of our staff, who understand data trends and migration strategies.
Our structure allows us to work with cloud services such as Oracle, AWS, Microsoft, and Dataiku, which are global companies that guarantee effective services to enhance your data, which we boost with our team of experts.
Some of our solutions entail:
We have experience in multiple fields with big corporations, who have reached out to us to harness their data through extractions, transformations, data loads, and architecture design with the help of our Business Process Workflow Engine. Manage all your data in one place!
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