This paper provides a high-level overview of how Apache Cassandra™ can be used to replace HDFS, with no programming changes required from a developer perspective, and how a number of compelling ...

The rapid growth of data and the changing nature of data applications is challenging established architectural concepts for how to store big data. Where once organizations may have first looked to ...

In the battle for big data storage supremacy, Hadoop is still in the running. It may no longer be the 800-lb gorilla, but the demonstrated scalability of the Hadoop Distributed File System (HDFS) ...

The proliferation of small files in distributed file systems poses significant challenges that affect both storage efficiency and operational performance. Modern systems, such as Hadoop Distributed ...

Cloud computing is a new technology which comes from distributed computing, parallel computing, grid computing and other computing technologies. In cloud computing, the data storage and computing are ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Kenneth Harris, a NASA veteran who worked on ...

In this video from LUG 2015 in Denver, J.Mario Gallegos from Dell presents: Deploying Hadoop on Lustre Storage: Lessons Learned and Best Practices. Hadoop is the de facto platform for processing big ...

Hadoop is a popular open-source distributed storage and processing framework. This primer about the framework covers commercial solutions, Hadoop on the public cloud, and why it matters for business.

MapR's file system was its original differentiator in the Hadoop market: unlike standard HDFS, which is optimized for reading, and supports writing to a file only once, MapR-FS fully supports the read ...

While the individual project retirement announcements may seem insignificant, taken as a whole, they constitute a watershed event. To help practitioners and industry watchers appreciate the full ...