Data Platform Migration: Seamlessly transferring data for enhanced efficiency and accessibility.

Data Platform Migration

 From Data Centers to the Cloud: A Strategic Shift 

Business ScenarioOur ApproachBenefits

Cloud adoption has emerged as a strategic imperative for companies, empowering them to unlock the agility and scalability essential for a data-driven transformation.

Business Scenario

Cloud adoption has transformed the business landscape, reshaping the way organisations operate and deliver services. It offers a compelling array of benefits, including cost-efficiency, flexibility, seamless accessibility, and significant reductions in maintenance overheads. Moreover, it equips businesses with an expansive toolkit and infrastructure, essential for realising the full potential of their data products in the realms of automation and data-informed decision-making.

Although the decision to transition to a cloud-based strategy may seem straightforward, the implementation of migration from legacy systems presents a complex challenge.

Additionally, organisations face several other challenges:

Cloud or Multi-cloud Strategy

Determining the optimal cloud providers that answer to specific business requirements and ensuring seamless interoperability and enhanced collaboration among teams.

Architecture Approach for Cloud Migration– Which one?

  • Lift & Shift: A direct migration from traditional on-premises infrastructure to cloud-equivalent structures.
  • Lift & Optimisation: Transitioning to a cloud-based architecture while making necessary adjustments and optimisations to leverage enhanced cloud features.
  • Full Refactoring: Complete transformation to a cloud-based architecture with comprehensive refactoring to maximise its advantages.

Dependency & Integration Mapping

Identifying the utilisation of resources and understanding user dependencies can be a complex task. Migration may include unused or obsolete objects previously relied upon by specific users. For example, a seasonal report accessed in November might have remained unused for more than ten months and needs to be migrated.

Migration Prioritisation and Roadmap/Backlog Definition

Establishing a strategic approach to prioritise migration tasks, ensuring quick wins, and facilitating the adoption of new platforms.

Our Approach

How Celfocus is helping Enterprises with Data Platform Migration

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Celfocus believes in a Data-First approach, aimed at minimising dependencies on a full-scale migration and enabling consumers and producers to harness cloud resources for data-driven use cases.

We have actively participated in multiple migrations of on-premises data ecosystems to the cloud. This has been achieved by applying a well-defined and validated approach, characterised by the following four phases:

Inception Phase

This initial phase is dedicated to governance and strategy definition. It involves a comprehensive assessment and meticulous planning from both technical and governance standpoints, encompassing architecture, dependencies, risk management, integrations, and consumers/producers’ requirements.

Migration Phase

The migration process entails the setup and transition of the cloud Data Ecosystem in alignment with the previously defined strategy, translating code, processes and structures. It can also include historical data migration.

Validation Phase

This stage focuses on Quality Assurance and bug fixing of any identified issues and can include activities such as data consistency checks, parallel runs, and historical data validation.

Optimisation Phase

This step involves necessary refactoring activities and reengineering to ensure the efficient utilisation of cloud services and cost optimisations.

An additional and parallel phase can be applicable when the decommissioning of the previous solution needs to be performed as part of move-to-cloud scope. 

Celfocus leverages frameworks to expedite project implementation, drawing upon industry best practices and the organisation's previous experiences. These frameworks include:

  • Celfocus DMaaP: A logical architecture for data movement, supporting real-time and batch processing, anonymisation, data quality, and data standardisation, both for cloud and on-premises destinations.
  • Celfocus Metadata Discovery: This tool facilitates access to previous code (e.g., PL/SQL, SQL, sqoop, etc.) and automates the extract of metadata, particularly valuable in cases with limited documentation. It aids in identifying sources, targets, and filters within existing ETL jobs.
  • Celfocus FinOps: A framework for monitoring and optimising cloud costs, featuring alerting mechanisms for excessive or unexpected costs.

These frameworks can be adapted and refined during the migration process to seamlessly integrate into the target solutions. They can also be combined with existing tools in the market for code translation to accelerate the migration process. All code developed is made available as open-source and accessible upon the conclusion of the migration project.

Data Platform framework | data Migration | Celfocus

Interested in knowing more? Discover our specialised offer on Cloud Migration and get to know the strategies and accelerators we use to guarantee a successful migration process.


Celfocus Data Platform Migration sub-offer is an integral component of our Data Ecosystem Offer, bringing together over 8 years of expertise in cloud solutions and more than two decades of experience in the Analytics domain. Below are some key benefits:

Acceleration of Inception and Migration Phases
Cloud Proficiency
Optimal Resource Utilisation
Seamless Integration
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