Abstract
Cloud platforms that provide a scalable, virtualized infrastructure are becoming ubiquitous. As the underlying storage can meet extreme demands of scalability in this platform, running storage analytics applications in cloud is gaining momentum. Gartner estimates 85% of Fortune 500 companies do not reap the full benefit of their data analytics, causing them to loose potential opportunities. Different Cloud providers do supply various metrics but they seem to be not uniform and inadequate sometimes. This mandates for a Cloud Storage analytics solution that follows a scientific process of transforming storage data metrics into insight for making better decisions. Learning Objectives Key areas where Cloud storage analytics help ex. capacity planning Challenges in cloud based storage analytics (no uniform metrics across providers etc) Benefits of Cloud based Storage analytics: Data Isolation