Are SSDs Required for Your Big Data Workflow? The Answer May Surprise You

Have you heard the buzz about the predicted death of hard disk drives (HDDs)? Some have gone all in on projections that the growth of SSD deployments will eliminate demand for HDDs within five years. Other industry analy Read more…

GPU Storage Approach Targets Big Data Bottlenecks

An emerging storage technology aims to leverage faster GPUs by creating a direct path between local and remote storage, thereby overcoming I/O bottlenecks that are slowing the crunching of AI and HPC data sets. Nvidia Read more…

Five Signs Your Cache-Based Database Architecture May Be Obsolete

The digital economy comprises business moments, critical fractions of seconds when lightning-fast chain reactions take place that transform data into insights and turn opportunities into business values. As data has incr Read more…

Intel Builds Analytics, Database Use Cases for Optane

Intel offered a list of use cases for its Optane DC persistent memory technology during a company event this week, including Twitter’s effort to scale its Hadoop clusters using Optane and SAP HANA’s database improvem Read more…

Deep Dive Into Databricks’ Big Speedup Plans for Apache Spark

Apache Spark rose to prominence within the Hadoop world as a faster and easier to use alternative to MapReduce. But as fast as Spark is today, it won't hold a candle to future versions of Spark that the folks at Databric Read more…

Big Data I/O Benchmark Gains Steam

Although Fusion-io was the first to break the B-IOP barrier, others in the storage market are stepping with their own unique claims to I/O fame. For instance, today Virident and NEC announced a system that can handle 1.2 million... Read more…

Mellanox Addresses Big Data Acceleration

Mellanox Technologies announced UDA 2.0 this week, which is a network-based and software-driven approach to speeding Hadoop cluster performance. The company claims users can expect two times the performance for data-intensive applications. Read more…