Why big data analytics can benefit from flash
Big Data Analytics Case Study
Big data analytics can present big problems: the larger the data set, the more expense must be allocated to storage and even then, some storage infrastructures struggle to provide the capacity and performance these workloads require.
Larger data sets usually necessitate large footprints of space and power for storage, and in many cases, these systems are legacy SANs with associated vendor lock-in and exorbitant support contracts.
So how can you circumvent these challenges and meet the storage needs of big data and analytics apps?
Read the following case study to find out, and to discover a brand of SSDs— disaggregated, rack-scale flash with NVMe—with which one customer was able to achieve better performance for demanding analytics workloads.