Deliver actionable insights in real-time with optimised platforms
Certified infrastructure is important for solutions such as SAP HANA, but it's not typically a focus for companies looking to enhance their Big Data capabilities. However, infrastructure matters.
Gartner estimates that 60% of Big Data projects fail due to issues with skills, tools and culture. A third of the Big Data projects we’ve seen fail are due to a lack of investment in infrastructure strategy.
Legacy infrastructure is inflexible, while cloud solutions are often too expensive when it comes to supporting data-intensive applications.
Converged infrastructure combines compute, storage and network seamlessly. Tested and validated designs are quicker to deploy, provide greater agility and efficiency, and are suitable for all your data requirements - whether Big Data and Analytics, or SAP HANA data platforms.
Choose a solution validated by major software vendors and you can deploy it pre-tested as is, or use it as a template for building your own. These solutions are enterprise-ready, can scale to 1000s of servers, and come complete with services and support - from infrastructure to application stack.
5 reasons why infrastructure matters for Big Data