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 Hadoop Distributed File System (HDFS) is considered a core component of Hadoop, but it’s not an essential one. Lately, IBM has been talking up the benefits of hooking Hadoop up to the General ...

BlueTalon Unveils Industry-First Fine-Grained Data Access Control on Hadoop Distributed File System (HDFS) With Filtering and Dynamic Data Masking Capabilities ...

The Hadoop Distributed File System (HDFS) has emerged as a top contender for building a data lake. The scalability, reliability, and cost-effectiveness of Hadoop make it a good place to land data ...

Abstract—The Hadoop Distributed File System (HDFS) is designed to store very large data sets reliably, and to stream those data sets at high bandwidth to user applications. In a large cluster, ...

BlueTalon hopes to tackle that problem with what it calls the first-ever filtering and dynamic masking capabilities for use directly on the Hadoop Distributed File System (HDFS).

You can now find it on GitHub. The default Hadoop file system is called Hadoop Distributed File System (HDFS). CEO Konrad Feldman says Quantcast started using Hadoop in 2006.

You read that right: MapR File System (MapR-FS), the company's drop-in replacement for the Hadoop Distributed File System (HDFS), has been selected by a major software company for general-purpose ...

Specifically, Aster's SQL-MapReduce facility allowed specialists to write MapReduce code that would be executed not by Hadoop over data in HDFS (the Hadoop Distributed File System), but rather in ...