Industry Journalist at finmart.com.ua. Prepares explanatory and analytical coverage of фінансових рішень: трансформації фінансових установ, договорів і управлінських даних.
Transitioning to a Data Mesh architecture resolves integration chaos through data decentralization, data contracts, and moving away from fra...
A practical analysis of architectural patterns for connecting legacy systems to modern ecosystems: how to avoid point-to-point chaos and why...
Why ignoring organizational principles, lacking data owners, and "big bang" migrations doom corporate integration, and how to build a manage...
The success of AI initiatives depends on data lineage transparency and Data Governance maturity. Learn how to avoid poor data quality traps ...
How to transition from fragile point-to-point connections to a managed integration layer using API gateways and schema registries to ensure ...
Comparing Kafka and RabbitMQ for building reliable event-driven architectures. Learn how to avoid integration issues and ensure data integri...
The transition to decentralized architectures and AI integration has revealed a critical bottleneck: the lack of clear data ownership underm...
Comparing architectural approaches: when direct connections become inefficient and how implementing an integration bus helps avoid complexit...
Transitioning from point-to-point integrations to standardized EIP patterns, API Gateways, and managed Master Data Management to preserve co...
AI readiness is defined by architectural data maturity. Transitioning from point-to-point integrations to a managed layer with a unified API...
Effective customer data management requires clearly defined responsibilities for master record modifications, especially in the context of A...
Choosing between Apache Kafka and message queues for event-driven integration depends on scale, reliability, and cybersecurity requirements....
