The data migration process is an amalgamation of several carefully executed detailed steps.
We will share here with you some of our steps at Oceandata.
Description of these steps :
Thorough research is imperative before the entire migration process initializes as it allows the data migration team to understand the current system status, existing architecture, and future planning.
Furthermore, it helps in understanding if the existing system matches the cloud platform. This is crucial to provide first-hand information on the follow-up system migration scheming and implementation.
The system research stage mainly involves investigations into the application system through questionnaires, interviews, and collection of system data, observation of the application system, as well as other standardized processes and methods. It also includes business research, system architecture research, database research, and application research.
Brief description of the various phases of system research :
- Business research
- System architecture research
- Database research
- Application research
It involves carrying out basic research and analysis based on the businesses of the application system intended for migration. Additionally, it includes the research and analysis on the business type, users, business use of each feature and why, the business performance indicators, among other personalized aspects.
System architecture research
It takes into account comprehensive research and analysis on the overall application system deployment along with thorough research on the operating system, system operation status quo, system scalability, system data flow, system relevance, and other aspects.
This phase witnesses collection of basic information. This includes the database version, deployment structure, and data security policy, and the usage information including the existing database capacity, traffic, as well as SQL, and advanced features for technical research and analysis at the database layer.
This step involves researching architecture, usage of middleware, application load, and other information are collected for technical research and analysis at the application layer.
Operating system Architecture: This refers to analyzing if the application is compatible with the OS to which you are migrating the data.
High availability design: This step includes checking if the application design supports the migration process.
High-performance design: This is to determine if the application can handle a heavy load of data.
Data storage methods: The application may interact with various types of storage solutions.
Compatibility: Determine if the language used for application development is compatible
Framework and architecture: Analyze the framework used for application development and whether the system adopts the architecture of the actual database into the new system.
Deployment: How does one deploy the application on the system and what third-party components are used?
Interface: Does it call any external interface or service and if so, what is the adopted interface protocol type? What is the interface protocol type if it provides services for external calls?
Middleware: Determine the middleware class, which middleware products are used, and does the middleware adopt single-point deployment or cluster deployment?
Additional information: How do the third-party components impact the deployment process, are custom extensions used and what are the system performance indicators?
System research is the stepping-stone towards an efficient data migration process.
With its in-depth research and analysis, businesses can take the necessary steps to initiate their data migration process.