TMA Holds Big Data Technology Migration Workshop in Bandung

Bandung, December 18, 2025 — PT Tech Mayantara Asia (TMA) conducted a workshop on big data technology migration in Bandung. The event was attended by technical teams, data engineers, and management representatives, with the aim of strengthening the company’s understanding and strategy in navigating the increasingly dynamic landscape of data technology.

The workshop specifically focused on two key technologies within the big data ecosystem: IBM InfoSphere and Apache NiFi. Both platforms were central to the discussion due to their significant roles in managing large-scale data, particularly in data integration, processing, and efficient distribution.

In the opening session, TMA’s team outlined the challenges organizations face in managing legacy big data systems, especially those heavily reliant on platforms such as IBM InfoSphere. While the platform has proven to be reliable over time, the growing need for flexibility, cost efficiency, and integration with modern technologies has driven companies to consider migration strategies toward more open and adaptive solutions.

One of the main topics discussed was how the migration process from IBM InfoSphere-based systems to more modern platforms like Apache NiFi can be carried out in a structured and gradual manner. This approach is essential to ensure that the transition does not disrupt ongoing operations while maintaining data integrity.

Apache NiFi was introduced as a solution that offers ease in building data pipelines through an intuitive visual interface. With its flow-based programming concept, NiFi enables real-time data flow management with strong control over routing, transformation, and monitoring processes. This capability provides significant advantages in developing more responsive and scalable big data systems.

Beyond technical aspects, the workshop also highlighted strategies for future big data technology development. TMA emphasized the importance of adopting modern architectures such as data lakes, microservices, and API-first approaches to support cross-system integration. With a modular and flexible architecture, organizations can more easily adapt to evolving business needs.

The discussion also encouraged participants to understand the importance of building data pipelines that are not only efficient but also governed by strong data governance principles. This includes metadata management, audit trails, and data security, which are essential elements in ensuring the quality and reliability of big data systems.

The workshop was conducted interactively, featuring discussion sessions and case studies that allowed participants to share their experiences and real-world challenges. Participants showed strong enthusiasm, particularly in exploring how a combination of technologies can be leveraged to improve the performance of existing data systems.

Through this event, TMA demonstrated its commitment to continuously enhancing its capabilities in big data and data engineering. The workshop is expected to serve as an initial step in developing a more mature and well-structured technology migration roadmap.

As the role of data in business decision-making continues to grow, TMA remains optimistic that strengthening strategy and leveraging the right technologies will be key to delivering innovative and sustainable solutions in the future.