Oleksii Dmytriv

Choosing the optimal data architecture (Data Lakehouse vs. Data Mesh) is crucial for Ukrainian businesses, considering national legislation and GDPR requirements for data protection and sovereignty. This decision impacts flexibility, scalability, and the ability to adhere to regulatory norms.

Choosing the optimal data protection architecture in hybrid and multi-cloud environments demands a strategic approach that considers RTO/RPO, cyber threats, data sovereignty, and cost optimization. This choice is critical for business continuity and compliance amidst an increasingly complex IT landscape.

The increasing complexity of enterprise data demands new approaches to quality and reliability management. Data contracts are a key mechanism for ensuring data consistency and trust in decentralized systems.

Implementing automated, end-to-end Data Lineage is critical for meeting escalating regulatory requirements and enabling effective internal audits. This solution demands significant investment but mitigates high risks and costs associated with non-compliance.

Increasing regulatory pressure and geopolitical factors make data residency and sovereignty critical for any enterprise handling sensitive information or operating in international markets. This article offers practical architectural solutions for CIOs/CTOs.

Modern enterprises face the challenge of effectively managing growing data volumes. The choice between Data Mesh and Data Fabric has strategic implications for the flexibility and scalability of the data ecosystem.