Migration

The migration process refers to the movement of data, applications, or systems from one environment to another. This can include moving from on-premise servers to the cloud, from one cloud provider to another, or even between different versions of a software or hardware platform. It is a critical process that requires careful planning, execution, and validation to ensure data integrity and minimal disruption to services.

Effective migration requires several key prerequisites, including a thorough data assessment to understand the quality, volume, and format of the data to be moved. You also need a detailed migration plan that includes defined goals, timelines, and a rollback strategy in case of failure.

Common Pre-requisites for Migration Process

Data & System Assessment

Before any movement begins, you must audit your entire data landscape. This involves understanding the data's volume, type, and quality, and identifying all data sources and dependencies. You should also audit the applications and systems to be migrated, assessing their architecture and readiness for the new environment.

Data Profiling & Cleansing

It is a best practice to clean and standardize your data before migration. This process involves correcting inconsistencies, removing duplicates, and addressing any errors. Skipping this step can lead to corrupted data in the new environment and can cause the entire migration to fail.

Planning & Strategy

A detailed plan is non-negotiable. This plan should include:

• Clear Goals and Scope: Define what you're migrating and why, with specific, measurable success metrics.

• Timeline and Milestones: Establish a realistic schedule for each phase of the migration.

• Resource Allocation: Ensure you have the right people, tools, and budget for the project.

• Backup & Rollback Plan: Create a strategy to revert to the original system if the migration fails or encounters critical issues.

Testing Environment

You must set up a test environment that mirrors the production environment as closely as possible. This is where you'll perform dry runs to test the migration process, validate data integrity, and identify any potential issues before the live cutover.

Stakeholder Communication

Effective communication with all stakeholders is crucial. This includes users who will be affected by the migration, as well as the technical and business teams involved. You need to keep everyone informed of the plan, progress, and any potential downtime.

Important Notes

• To ensure a seamless migration, the configurations for the source and target Version Control Systems (VCS) must be identical. Navigation Path: Admin > Configurations > Version Control

• Before migrating entities, you must configure the unique, module-specific settings required for modules such as Data Pipelines, Jobs, Data Science Lab, etc.