HDFS


Also found in: Acronyms.

HDFS

(Hadoop Distributed File System) See Hadoop.
Mentioned in ?
References in periodicals archive ?
As mentioned earlier, matching subjects for age and diagnosis may have restricted the ability of the HDFS to discriminate fallers from non-fallers in the pediatric specialty hospital.
EMC Isilon scale-out NAS provides HDFS as a standard over the wire protocol so Hadoop compute clusters can readily use it as a storage backend.
The input dataset is stored on HDFS as a sequence file of <key, value>pairs, each of which represents a record in the dataset.
HDFS plays a prominent role in Hadoop ecosystem as data locality is a key factor for the HDFS reliability and MapReduce performance.
Table I: The comparison of tools Attribute Hadoop Spark File system HDFS, S3, Blob, Swift HDFS, S3, Ceph Querying structured data HiveQL Shark(Spark SQL) Machine learning Mahout Mlib Streaming Data Analysis Hadoop Streaming Spark Streaming
Cloudera Enterprise which currently serves as the underlying architecture for Thorns cloud-based collection and data analysis tool called Spotlight, provides both distributed processing to run natural language processing and analytic algorithms on HDFS data.
Our system can analyze massive log data in a short period of time in a parallel and distributed manner by adopting MapReduce [15, 28] and HDFS [16, 32] into the Hadoop-based analysis module in MdbULPS.
1 on Hadoop HDFS and proven 3-way data replication, customers get platform with built-in data redundancy commonly used in Hadoop environments,” said Paul Krneta, CTO of BMMsoft.
35 billion commercial paper (CP) program, based on the rating linkage and core importance of HDFS to its parent company, Harley-Davidson, Inc.
Step 3: Data validation and cleanup is done by moving the log file to HDFS using Flume--avro.
MemSQL also has native integration with HDFS, Amazon S3 and MySQL, making it easy to important data from HDFS, as well as import and synchronize data from Amazon S3.
Our paper is organized as follows: in Section 2 we describe the basic idea of cloud computing, HDFS, MapReduce, and media transcoding approaches.