Forums for the Business Analyst

  Modern Analyst Forums  Business and Sy...  Data Analysis f...  Data Migration Strategy
Previous Previous
Next Next
New Post 5/12/2019 6:16 PM
User is offline Ash 02
2 posts
No Ranking

Data Migration Strategy 


I am looking for some data migration approaches from business perspective. Following are few I have started with more topics will help:

- Missing data approach

- Reconciliation approach

- Dual Transition apprroach


Please share your thoughts.




New Post 3/12/2020 5:51 AM
User is offline RenuSiwach
3 posts
No Ranking

Re: Data Migration Strategy 

Data Migration is the process of making a copy of data and moving it from one device or system to another, preferably without disrupting or disabling active business processing. After data is transferred, processing uses the new device or system. 

Simple steps included in the migration of data are 

1. Identify what data you’re migrating, what format it’s currently in, where it lives, and what format it should be in post-migration i.e. Location, Format, and Sensitivity of data.

2. Before the migration, just make sure that all of your data is backed up, especially the files that you’ll be migrating i.e. Backup of your data.

3. Define the scope of the data migration plan. Plan out the resources you’ll need to use during the migration and put a realistic budget in place i.e. Scope and Size of your project.

4. Data Migration is a big job to do. Make sure your team has the knowledge and skills necessary to accomplish the project or any outside expert. All necessary resources and sufficient time are available to your team i.e. Assess Staff and Tools.

5. Ensure this data is cleaned to protect the target system, then transform it into the proper format for transfer. Finally, load your cleaned and deduplicated data into your target system data migration rules and map you’ve already laid out. i.e. Proper execution of the migration plan.

6. Once the migration is finished, assure there are no connectivity problems with source and target systems. The goal is to ensure all data migrated is correct, secure, and in the proper location i.e. Testing after migration.

7. Even with testing, it’s always possible that an error was made during migration. To account for this, conduct a full audit of the system and data quality to ensure everything is correct once the data migration process has completed i.e. Follow up and Maintenance of data.

Previous Previous
Next Next
  Modern Analyst Forums  Business and Sy...  Data Analysis f...  Data Migration Strategy

Community Blog - Latest Posts

Is Agile a reason to avoid documentation? I bet this question shows up again and again while working with product requirements. On one side, we have got long specifications, complicated diagrams, mystical technical design, too many prototypes and pretty obvious for engineers user guides (do we really need so much?). On the other side, can we actual...
The cloud-native application development has helped enterprises all around the globe reduce time-to-market, enhance performance, and develop agility and flexibility. Several enterprises are achieving these results by migrating their systems or traditional monolithic applications to the cloud. But to gain from the real benefits of cloud technology, ...
So you’ve found the perfect time and place to study and you’re ready to finally get some work done. You’ve pulled out your laptop, your textbook, and your notes, and four different highlighters. After five minutes of reading your textbook, you start zoning out and thinking about puppies. Then, you go on Tumblr and look at cut...


Upcoming Live Webinars


Copyright 2006-2021 by Modern Analyst Media LLC