Rapidly gaining insights from data is crucial to capitalizing on opportunities, improving profits, and better managing risk. This ability requires enterprise-grade data management capabilities to cope with the vast datasets.
Accelerating real-time machine data analytics helps organizations detect cyberattacks before they cause damage, and prevent fraud without affecting the customer experience.
Quickly deriving business intelligence from customer data is essential to improving satisfaction levels and guiding future service offerings.
However, the first-generation big data analytics commodity storage approach (that is, DAS storage) simply doesn’t scale efficiently. And it doesn’t provide the reliability and flexibility needed as these applications become essential to competitiveness.
Shared storage/external storage big data analytics platforms deliver more scalability and performance, nondisruptively moving data where it’s needed and making sure that it is always protected and secure.