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.

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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. 

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Why Methodology is so important

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.

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Data Migration Steps for Seamless Journey

When it comes to data migration, we believe in simplicity and efficiency. That’s why we break it down into three essential steps:

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1.

Target Requirements

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.

Source Data

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.

Move Data

Finally, extract, transform, validate and deliver the actual data, turning your legacy data into a format that will load seamlessly into the target system.

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Our revolutionary methods applied 

Separation of systems

Our mapping is based on two separate maps: one representing the Source System and one representing the Target System. 

This allows for:

  • Clear separation implies a clear structure
  • Reuse can easily be achieved
  • A lean and transparent interface connects the two maps

Hopp vs Traditional Methods in 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.   

Traditional Method

Traditional Method

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

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. 

Hopp business object method  

SOURCE 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 Business Object Method

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. 

Complete and Consistent Mapping Methodology

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. 

Source Map

  • Based on the Interface from the Target Map, the Source Map is built to link to the source system metadata
  • The Source Map defines the data from the source system that is extracted and placed in the Source staging database
  • The extracted source data is mapped to the Interface from the Target Map
  • Events can be raised to signal any issues for action

Choose your methodology wisely!

Ensure a successful and well-structured migration with our unique methodology. Based on a business-centric approach with units of migration supported by an agile and iterative process our software solution offers all the features you need for a successful data migration

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Adapt the best methods to migrate your data faster and more cost-effectively

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Faqs

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.

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