Approach Matters in Data Migration
Hopp embodies a unique unit of migration and system separation approach.
Superior to the traditional and monolithic table-centric approach used in ad hoc and ETL-based solutions.
Hopp embodies a unique unit of migration and system separation approach.
Superior to the traditional and monolithic table-centric approach used in ad hoc and ETL-based solutions.
Hopp’s data migration software is built on revolutionary and proven methods that save costs and deliver high-quality results quickly. We greatly emphasize continuous improvement, flexibility, and team collaboration.
You need a robust methodology to create structure, a common reference, and systematic progress.
Data Migration Methodology is the disciplined approach businesses undertake to migrate data from one system to another with precision and order.
We separate 'process' from 'methodology'.
Methodology refers to the specific building blocks, while Process refers to how these are used in a project.
Data Migration is the challenge of identifying and transforming data from a legacy system into data useable by a new Target System.
The goal is that the new system should function as intended to support the business operation, products and services offered by the operating organisation for its customers or users.
When it comes to data migration, we believe in simplicity and efficiency. That’s why we break it down into three essential steps:
1.
First, clarify data requirements and business logic of the target system, defined in what we call a target map. This target-First approach ensures that all requirements of target systems are met.
2.
Next, identify the source data needed to meet the requirements of the target system - we call it the Source Map - and map it to the Target Map through the Interface fields.
3.
Finally, extract, transform, validate and deliver the actual data, turning your legacy data into a format that will load seamlessly into the target system.
Our revolutionary methods applied
Our mapping is based on two separate maps: one representing the Source System and one representing the Target System.
This allows for:
A unit of migration method is by far superior to the table-to-table method.
We call our units Business Objects. They represent all the logical units, such as a "Customer," Product", or "Account", etc. in the data migration.
Traditionally, ETL-style data migrations focus on moving tables and rows from one system to another. The challenge is that system and database designs are often very different and complex. Simply moving data is not the issue.
New large-scale applications and associated data models are complex. Migration is always challenging, and an appropriate method must be used to succeed. We focus on managing complexity by creating units of migration that maintain the business logic, create transparency and help stakeholders gain confidence in the migration process.
Hopp stands in contrast to the traditional, flow-based approach often applied to data migration.
Often using some form of ETL tool, the migration is seen as isolated records flowing from source to target.
No clear consolidation is taking place, and it is typically impossible to identify and migrate all the records that make up a given business entity.
SOURCE SYSTEM
TARGET SYSTEM
Hopp stands in contrast to the traditional, flow-based approach often applied to data migration.
Often using some form of ETL tool, the migration is seen as isolated records flowing from source to target.
No clear consolidation is taking place, and it is typically impossible to identify and migrate all the records that make up a given business entity.
SOURCE SYSTEM
TARGET SYSTEM
Hopp does away with the traditional, flow-oriented ETL approach to data migration.
Using Hopp, the legacy source data is immediately consolidated into Business Objects.
Each Business Object contains all the data for a given entity that is meaningful to the business being migrated – a Customer, an Account, an Insurance, a Project, etc.
Hopp takes each Business Object through the migration transformation as one consistent Unit-of-Work. Any information relevant to the transformation is directly linked to the Business Object it concerns.
Hopp does away with the traditional, flow-oriented ETL approach to data migration.
Using Hopp, the legacy source data is immediately consolidated into Business Objects.
Each Business Object contains all the data for a given entity that is meaningful to the business being migrated – a Customer, an Account, an Insurance, a Project, etc.
Hopp takes each Business Object through the migration transformation as one consistent Unit-of-Work. Any information relevant to the transformation is directly linked to the Business Object it concerns.
Business Objects—our unit of migration—are hierarchies of data elements that form logical business concepts that can consistently transform and validate data in the migration process. They connect or map data from the source to the target system through a common interface.
Yes, definitely. This software component is made to work with rules of all levels of complexity, so developers can implement rules that fit the needs and details of their projects.
Regular feedback loops, open communication, and ongoing contact between stakeholders are all parts of agile data migration that make it easier for people to work together and ensure that changing business goals are met.
Hopp's architecture is designed to scale, accommodating the complexities of large-scale data migration projects. It leverages automation and adaptability to handle increased data volumes effectively.
Yes, custom transformation rules can be added to Hopp. This makes it possible to adapt the migration process to specific business needs and data complexity.