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Case Studies

Complex challenges, successful outcomes

How nFolks turns the hardest data and AI problems into wins — for global enterprises and public institutions alike.

Client · Verizon

Synchronizing IBM Knowledge Catalog with Apache Atlas

IBM Knowledge CatalogApache AtlasnFolks Data AcceleratorsSmartDiff

nFolks Data Solutions collaborated with Verizon to execute a complex synchronization effort between IBM Knowledge Catalog and Apache Atlas — addressing Verizon's challenges in achieving seamless data integration and synchronization across both platforms.

The challenge

IBM Knowledge Catalog and Apache Atlas differ significantly in their underlying technologies, data models, and metadata structures, posing real integration complexity. Managing a vast amount of data across multiple systems demanded efficient synchronization without compromising performance — and Verizon required real-time synchronization to keep metadata consistent and up to date.

Our solution

nFolks devised a comprehensive solution spanning architecture design, integration strategy, and customized synchronization services — facilitating data exchange between the platforms while ensuring compatibility and scalability. Leveraging our data-integration expertise and our home-grown nFolks Data Accelerators, we established seamless communication channels and engineered custom synchronization services tailored to Verizon's requirements, ensuring data consistency, metadata alignment, and smooth information flow. We also delivered a comprehensive data dashboard demonstrating synchronization success via nFolks Data Accelerators SmartDiff.

Results

The implemented services facilitated smooth data exchange and consistent metadata across IBM Knowledge Catalog and Apache Atlas. Verizon now benefits from real-time synchronization — timely access to accurate, updated metadata — and a unified data governance framework that lets them maintain data integrity, improve data discoverability, and streamline data management across the organization.

The bottom line

By overcoming deep platform differences and delivering tangible results, nFolks enabled Verizon to achieve streamlined data synchronization — empowering more informed decisions and data-driven insights enterprise-wide.

Client · Commonwealth of Massachusetts

Turning around a stalled Cloud Pak for Data & DataStage program

IBM Cloud Pak for DataIBM DataStageMigrationEOHHS / Health Safety Net

nFolks' engagement with the Commonwealth of Massachusetts (COMA) Executive Office of Health and Human Services (EOHHS) Health Safety Net (HSN) turned a lost cause — a client preparing to return IBM software — into a win and an expanded IBM footprint.

The challenge

COMA EOHHS HSN was grappling with an aging, roughly 20-year-old DataStage system and the challenge of integrating it into a modern IT infrastructure on IBM Cloud Pak for Data (CP4D). Initial apprehension toward CP4D — and an inclination toward AWS — compounded the difficulty, leading to complaints and demands for a refund or credit for CP4D.

Our solution

nFolks built an action plan around migrating the legacy DataStage jobs and a series of working sessions with the EOHHS project lead, to demonstrate how integrating DataStage with CP4D could add substantial value. Using the client's own data — and N-Cube, our flexible sandbox packed with third-party tools that replicates complex customer landscapes — we showcased a migration approach for an unsupported version of DataStage alongside an MVP, shifting COMA's perception of CP4D through architectural discussions, demos, and proofs of value.

Results

COMA reconsidered CP4D and adopted it as the new standard within EOHHS — an affirmation of nFolks' approach and execution. In the process, the team prevented a potentially disputed IBM HSN software return in Q1 2022, protecting both the customer relationship and IBM's footprint.

The bottom line

The engagement epitomizes nFolks' ability to maneuver through challenging technology landscapes — solving hard problems, rebuilding client confidence, and helping IBM win.

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