5 Ways to solve the disparate data problem and drive business outcomes

Enterprise data architectures often face challenges due to disparate data systems and formats, which hinder strategic decision-making and operational efficiency. This issue is exacerbated by data silos, outdated data lakes, and rigid data warehouses that limit analytics capabilities. The Icehouse architecture, enabled by open-source technologies and tools like Starburst, addresses these challenges by federating disparate data sources into a unified consumption layer, decoupling storage from compute, and allowing organizations to access data where it resides. By leveraging open formats and query engines such as Apache Iceberg and Trino, companies can improve query performance and democratize data access. Additionally, adopting data products tailored to specific business needs enhances decision-making speed and accuracy. Rather than replacing existing investments, the Icehouse architecture integrates with legacy systems to optimize data management and operationalize data products at scale, supporting data-driven innovation.