For generations, organizations leveraged Enterprise Data Warehouse (EDW) systems to consolidate, store, analyze, and report business intelligence. A vendor who had launched the first parallel data warehousing system and the first DW system over 1TB in scale has had success delivering the hardware, software, and services that enabled large-scale on-premises data warehouse solutions for decades. These systems, though extremely costly to purchase and maintain, provided a business advantage to those organizations that could afford it. Today, the exponentially increased variety, volume, and velocity of data call for a data warehouse solution that is more agile, global, and cost-effective. Those who have previously relied on this vendor’s solutions are faced with a question: continue to make investments in rigid, on-premises solutions, or face the one-time cost of migrating to an agile, cloud-based EDW solution.
ESG Whitepaper: The Economic Advantages of Migrating Enterprise Data Warehouse Workloads to Google BigQuery
