How Enterprise Architects can get more support for technology led innovation
Enterprise Architects are increasingly vital as guides for technology-led innovation, but they often struggle with obstacles like siloed teams, misaligned priorities, outdated governance, and unclear strategic value. The blog outlines six core challenges—stakeholder engagement, tool selection, IT-business integration, security compliance, operational balance, and sustaining innovation—and offers a proactive roadmap: embrace a “fail fast, learn fast” mindset; align product roadmaps with enterprise architecture; build shared, modular platforms; and adopt agile governance supported by orchestration tooling.
Agi Marx, June 18, 2025
Read more
Why combine an Internal Developer Portal and a Data Fabric Studio?
Discover how to combine Internal Developer Portal and Data Fabric for enhanced efficiency in software development and data engineering.
Snowflakes and solutions: Navigating the data (snow) storm at the Snowflake World Tour 2024
Explore insights from Octavio Martin at the Snowflake World Tour, where he tackled data challenges with innovative solutions.
5 more emerging data management trends for 2025 [Part 2]
A while back, we wrote a blog about the top emerging data management trends to follow for 2025. Here are five more to add to the mix!
5 emerging data management trends to follow for 2025 [Part 1]
Explore the data management trends 2025 and discover how organizations can adapt to evolving data challenges and complexity.
What’s the future of data mesh and data fabric? [7 predictions]
Explore the future of data mesh and data fabric. Discover their impact on data architecture and the big data landscape.
The top 3 indicators you need a data fabric
A data fabric brings together fragmented data sources—whether on‑premise, cloud, or edge—into a unified, governed layer that enables real-time analytics and self‑service access for business users. You likely need one if you face pervasive bottlenecks like overwhelmed data teams, inconsistent reporting, or sluggish preparation workflows. By deploying a data fabric, you can eliminate silos, deliver timely and accurate insights through a centralized access layer, and maintain compliance with built-in lineage, anonymization, and access control. Action points: evaluate where your organization experiences delays or friction in data access, explore data fabric solutions that offer virtualization, metadata management, and governance, and pilot a use case—such as providing analysts with self‑service dashboards—to test real-time delivery and impact.
