For the project to go smoothly, there are a few considerations to keep in mind.
Migrations Categorized into Four Types
- Storage Migration
- Application Migration
- Database Migration
- Business Process Migration
Migration Steps for the Source and Target Database Systems
- Planning Phrase
- Assessing the current environment
- Estimate the migration effort
- Choose the right tools and build a robust infrastructure
- Execution phase
- Unit Testing
- Integration Testing
- Validation and certification Testing
- Deployment Phase
- Performance Modifications
- Applications set up on the new systems
The Data Migration Process – Mainly Split into Two Projects:
- Migrating the raw data (tables, indexes, application data, and constraints)
- Migration of related infrastructure (stored procedures, database triggers, SQL queries, and functions)
Questions to Ask before Starting a Data Project
- Do the business owners have access to the source database? If so, for how long should it be for?
- What objects are we looking to migrate to the new system?
- Do we have the resources needed for the project team?
- Are the data requirements clear to the business owners?
- Are the timelines realistic?
Data Migration Prep Strategy
Is everyone on board with the data migration from business users to executive staff?
Can the product handle a large number of users and large data volumes?
Is the migration team able to get data from all the systems?
Is the software easy to use and flexible enough if changes need to be made quickly?
Will query times and cross-referencing query performance meet expectations?
Does the product include all the key features my organization needs?
Types of Data
What kinds of data relationships does my organization have that need to stay intact?
Proof of Concept
Can the data migration services company walk my organization through a step-by-step past migration project?
Organizations wanting to implement a legacy application data migration project need to follow these five rules.
- Follow a Best Practices Document Include skills, tools, plans, timelines, budget and data stewards and contact information for all teams, groups, and activities.
- Implement a Data Discovery Plan
- Data Team needs to understand the data source, target application data and address the concerns and how to access it over time.
- Complete Data Movement Strategy Create a document that includes how the data will be moved and strategies for access, validation, and audits.
- Collaborations of all Business Users and Data Stewards
- Add accountability to each team member and reward groups for participation and involvement. Stress the importance of supporting the migration project and the efforts in verifying data.
- Suitable Open Source Data Migration Tools Incorporate the right tools to support your data migration include processes, procedure, and workflows. Ask IT for advice and utilize the most popular and best suited for cloud data migration. The tool repository needs to support homogeneous and heterogeneous migrations and remember the migration tool needs to be fully operational throughout the data migration project.
Steps in Data Migration
- Identify the data format and location and data sensitivity
- Extensive planning and accurate timelines for the size and scope of the project
- Backup all data and remove obvious data duplications
- Assess staff skills, business owners and users
- Understand the migration tools capabilities
- Execution of the data migration plan
- Testing of the final system
- Follow-up and make the necessary tweaks in the maintenance of the data
Successfully planning an application data migration project that involves a legacy system and moving to modernized BI cloud-based software in order to improve performance, speed and move the organization into the digital environment is usually initiated by IT Directors.
On average the implementation cost for a data migration project can start at around $100,000 and the project will last from 12-26 months with a team of up to 15-30 developers.
Ask your data migration provider for testimonials, case studies, reports, graphs, charts and info-graphics proving their past project success. Inquire about past data migration projects and request examples of a comprehensive methodology and deliverables including what the project looked like across all migration phases?
Companies should use an experienced partner, get experts involved at an early stage, have a clear understanding of your data, and budget accurately plus plan the full scope of the data migration project, get extra internal and external resources and future proof of your new system. Remember: Self-Service tool software can simplify the process, reduce costs and help plan the migration.