Anton Marrero

Selecting a data consistency model in distributed systems – from strong to eventual – is a key architectural trade-off affecting operational reliability and the quality of business decisions. This decision requires understanding the impact on availability, performance, and latency for critical business processes.

Discover how to identify, assess, and integrate uncontrolled 'shadow' IT integrations and their fragmented data into a managed enterprise architecture. This will help eliminate security, compliance, and operational risks caused by decentralized business unit decisions.

Unmanaged integration technical debt leads to increased costs, slowed innovation, and unpredictable outages. Proactive management of this debt is critical for ensuring business agility and competitive advantage.

Building a unified data fabric across hybrid and multi-cloud environments is critical for operational continuity and advanced analytics. This requires a balanced approach to data management, security, and performance.

Data leaders and digital transformers face the challenge of balancing the speed of automated document processing with the critical need for high data accuracy and regulatory compliance. This article offers strategies and a checklist for selecting IDP solutions that meet these requirements.

Public sector IT infrastructure leaders face the challenge of EDMS migration while maintaining business continuity and the legal validity of document flow. This article proposes an architectural solution for parallel operation, analyzing key criteria, risks, and operational implications.

Assessing event logs for Process Mining requires verifying the presence of unique case identifiers, precise timestamps, and detailed activity attributes. This is critical for reliable process modeling and well-founded architectural decisions regarding automation.