whitepaper

Modern enterprises compete on their ability to turn big data into essential and actionable business insights quickly across the enterprise and their ecosystems. However, key obstacles to this business imperative are self-service data access, recency and speed of insights, and data version control or a Single-Source-of-Truth (SSOT). This RFI is intended to address these challenges for enterprises so they can achieve BI and analytics goals at scale even as data volumes, users, and applications grow, on top of their existing data sources. These are key questions to ask when realizing data virtualization breaks at scale.

Get this Sample RFI to learn and plan:

  • How to cut through the confusion, and gain guidance on how to evaluate cloud data lake query engines that span the gamut of big data insights and analytics use cases from BI to AI
  • Explores the key questions to ask in the areas of architecture and technology, performance optimization/high-performance BI at scale, use cases, data sources and schema drift, data stores and BI tools support,
  • Dig deeper into self-service analytics support, cloud service and financial governance, security and data governance for trusted data democratization, and implementation/support/success

Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum. Sed ut perspiciatis unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam, eaque ipsa quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt explicabo. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.