Cloud Data Management

Not all cloud storage is the same — and for enterprise workloads subject to regulatory requirements, data sovereignty constraints, and long-term retention obligations, the differences matter significantly. The selection criteria that apply to consumer cloud storage are largely irrelevant for enterprise deployments where security, governance, compliance, and genuine scalability are non-negotiable. This guide covers the […]

Omnichannel retail is no longer a strategic differentiator — it is a baseline expectation. Customers move fluidly between in-store, online, and mobile experiences and expect consistent product information, pricing, inventory visibility, and service regardless of channel. Retail brands that cannot deliver this consistency lose customers to those that can. The technology foundation that makes omnichannel […]

Enterprise AI agents cannot use data they cannot find. This statement is obvious—and it describes one of the most consistently underestimated barriers to enterprise AI production. Organizations spend heavily on model selection, vector databases, and inference infrastructure. They spend far less on the metadata management, catalog coverage, and semantic documentation that determines what fraction of […]

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 […]

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 […]