What are some of the cool things in the 2.0 release of Hadoop? To start, how about a revamped MapReduce? And what would you think of a high availability (HA) implementation of the Hadoop Distributed ...

随着数据规模的不断扩大和应用的不断丰富，我们需要不断创新和发展新的技术，以更好地应对大数据的挑战。通过数据治理，可以确保数据的准确性、一致性、完整性和可靠性，从而提高数据的质量和价值。同时，在数据处理过程中，需要考虑数据的隐私保护 ...

In this whitepaper, Yahoo engineers Konstantin Shvachko, Hairong Kuang, Sanjay Radia, and Robert Chansle look at HDFS, the file system component of Hadoop. While the interface to HDFS is patterned ...

Facebook deployed Raid in large Hadoop Distributed File System (HDFS) clusters last year, to increase capacity by tens of petabytes, as well as to reduce data replication. But the engineering team ...

Google this week announced a Google Cloud Storage Connector for Hadoop aiming to simplify Big Data analysis on its cloud platform by eliminating the need to use the oft-maligned Hadoop Distributed ...

Big data can mean big threats to security, thanks to the tempting volumes of information that may sit waiting for hackers to peruse. BlueTalon hopes to tackle that problem with what it calls the first ...

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 ...

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 ...

As a poster child for big data, Hadoop is continually brought out as the reference architecture for big data analytics. But what exactly is Hadoop and what are the key points of Hadoop storage ...

Improperly configured HDFS-based servers, mostly Hadoop installs, are exposing over five petabytes of information, according to John Matherly, founder of Shodan, a search engine for discovering ...