Cloud spending continues to grow in most enterprise organizations, but in a growing number of cases, what is growing is not the business value delivered—it is the waste. Analysts estimate that 30–35% of enterprise cloud spending is wasted on idle resources, over-provisioned instances, redundant data storage, and unmanaged data transfer costs. Public cloud cost optimization […]
An enterprise data strategy pivot is not a technology project. It is an organizational change program that happens to involve technology. Organizations that approach data strategy transformation as a platform replacement project consistently underestimate the cultural, process, and governance changes required to make the new platform deliver its intended value. This article covers what a […]
As enterprise data estates have grown more complex—spanning on-premises databases, multiple cloud providers, SaaS applications, streaming sources, and legacy systems—the traditional approach of centralizing all data in a single repository has become increasingly impractical. Big data fabric architecture offers an alternative: a connected, governed layer that makes data accessible across its distributed locations without requiring […]
The phrase cloud data platform is used to describe a wide range of products and architectures—from pure-play cloud data warehouses to fully managed analytics services to unified lakehouse platforms. For enterprise data teams evaluating their options, the breadth of the category creates as much confusion as clarity. What separates an enterprise-ready cloud data platform from […]
Cloud enterprise architecture is the discipline of designing IT systems that exploit the elasticity, scale, and service breadth of cloud infrastructure while avoiding the lock-in, cost overruns, and governance gaps that derail cloud programs at scale. Getting this architecture right from the outset is the difference between a cloud estate that accelerates business outcomes and […]
The release of Solix Common Data Platform 3.0 marks a significant evolution in how enterprises manage the full lifecycle of their data—from active operational use through governed archival, compliance retention, and AI-ready preparation. For organizations that have been watching the enterprise data platform market consolidate around AI-first requirements, CDP 3.0 addresses the gap between legacy […]
Backup compression is one of those infrastructure decisions that appears simple on the surface—smaller backups consume less storage and transfer faster—but carries meaningful tradeoffs that affect restore performance, CPU utilization, and the integrity of already-compressed data types. The answer to should you compress your backups is almost always “yes, with conditions.” The conditions matter as […]
A multi-cloud data strategy is no longer a niche architectural choice reserved for the largest enterprises. It is increasingly the operational reality for any organization that has adopted cloud infrastructure at scale—and managing that reality poorly is one of the most reliable sources of avoidable cost and risk in modern IT. A well-designed multi-cloud data […]
Enterprise data volumes are growing faster than storage budgets. For most organizations, the default response—provisioning more primary storage capacity—is both the most expensive and the least strategic option available. The answer to affordable enterprise data storage is not cheaper storage hardware. It is smarter data placement. Why Primary Storage Is the Wrong Answer for Most […]
The term “enterprise data services” covers a broad operational landscape—from data ingestion and integration to governance, archiving, and analytics enablement. For organizations navigating the shift to AI-driven operations, understanding what enterprise data services must deliver—and what gaps in current service delivery are costing them—is the starting point for meaningful transformation. What Enterprise Data Services Actually […]
