Data Migration: Strategy and It’s Best Practices
Data Migration: Strategy and It’s Best Practices

According to a veteran data migration company, defining the parameters of data migration is the first step. DM is vulnerable to a scope like other big IT initiatives. The aim of the projects expands over time, which causes delays and complications. It is better to start small when migrating data moves only the contents of a single database! They expand the scope when the pilot is a success.

 

Realistic Time Frame

 

Making a tangible time frame is very important in data migration. Large projects may take a few months or even a whole year. No migration should lower the vibe of an already existing business operation. So, spreading it out over time will allow the project to be as least disruptive as possible. Give yourself enough time to allow for undesired delays and some extra work.

 

Data Analyze

 

Reports by experienced Data Migration Company  DM ranges from simple to a high level of complexity. The level is based on some important facts like the data volume, data type, data migration process, and the source and target system. Make time to understand how much data requires to move if the unused records can be discarded.

 

Take a closer look at the data. Get an idea of its importance for your organization. You will get to know which strategy to take for good DM. The most popular options are often ‘big bang’ and ‘trickle migration. It is based on the moving speed and the number of phases involved. If one can afford a designated window of downtime, ‘Big bang’ migrations are better. ‘Trickle’ migrations are the better option for uninterrupted systems.

 

Data Cleansing

 

DM is like a ‘garbage in garbage out’ process. One has to be picky while choosing data to transfer. That is why large-scale data migration can be the opportune time to perform a deep clean.

 

If the data migration is done in phases, run testing and check for validation throughout the project. However, one off-data cleansing is not a substitute for thorough data management policies. Good data governance pays dividends long after a migration project is done.

 

Choose The Right Tools & Vendors

 

For somebody who does not know how to follow best practices for DM, Data Migration Company suggests 3rd party migration tools or vendors are wise to opt for. Cobbling a DM solution by own self is possible if you invest enough time and energy. But with someone who knows the process, the processing will be quicker and easier.

 

One must do some research to find out which platform is most suitable for a certain situation. Some good tools make things easy (like Xplenty). If you wish to collaborate with a vendor, evaluate them over the technology they are using. Check on the previous experiences with similar projects.

 

Alignment Between IT & Business

 

DM is somewhat the responsibility of the IT department, which influences the whole organization. For successful data migration, it is important to get approval from stakeholders. Then make an alignment between the IT and business teams. It has to have an understanding of the overarching business goals. The business team must be mindful of the technical terms involved in a project.

Conclusion

 

So, these are some tips and tricks about data migration, its strategy, and best practices. The above points are the “must follow” steps for data migration. If the blog feels informative, applying those in the practical field would benefit you. Share the blog with people who look for the same.

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