The adoption of cloud computing creates many challenges and opportunities in big data management and storage.
This study covers HBase write performance on different storage media, leveraging the hierarchy storage management support in HDFS to store different categories of HBase data using the Yahoo! Cloud Serving Benchmark (YCSB) as the test workload.
One Stop for Optimizing Your Data Center From AI to Big Data to HPC: End-to-end Solutions
This reference architecture unlocks big data analytics efficiency with dis-aggregated compute and storage.
New features and enhancements available in the second generation Intel® Xeon® processor Scalable family and how developers can take advantage of them
A performance comparison of three big data workloads running on a traditional on-premise configuration with that of disaggregated cloud storage.
Cloud-based big data services offer agility, flexibility, and simplicity as the number one priority consideration for big data investments.
介绍第二代英特尔® 至强® 可扩展处理器产品家族的新特性、增强功能以及为开发人员带来的优势