Hadoop Distributed File System (HDFS)

GPTKB entity

Statements (63)
Predicate Object
gptkbp:instance_of gptkb:cloud_storage
gptkbp:can_be_configured_for configuration files
high throughput
gptkbp:deployment commodity hardware
gptkbp:designed_for storing large data sets
gptkbp:developed_by gptkb:Apache_Software_Foundation
gptkbp:features fault tolerance
https://www.w3.org/2000/01/rdf-schema#label Hadoop Distributed File System (HDFS)
gptkbp:includes gptkb:Chordata
Data Node
gptkbp:is_accessible_by Hadoop API
gptkbp:is_compatible_with gptkb:Hadoop_YARN
gptkb:Map_Reduce
data visualization tools
No SQL databases
gptkbp:is_designed_for high availability
gptkbp:is_designed_to handle hardware failures
support large-scale data processing
gptkbp:is_documented_in Hadoop documentation
gptkbp:is_implemented_in gptkb:open-source_software
gptkbp:is_integrated_with gptkb:Apache_Pig
gptkb:Apache_Hive
gptkb:Apache_Spark
gptkb:Apache_Flume
gptkb:Apache_Sqoop
gptkbp:is_managed_by Hadoop cluster
gptkbp:is_optimized_for large files
write-once, read-many access
gptkbp:is_part_of gptkb:Hadoop_ecosystem
data engineering workflows
big data architecture
data processing frameworks
gptkbp:is_scalable thousands of nodes
gptkbp:is_supported_by Hadoop community
Hadoop ecosystem tools
gptkbp:is_tested_for unit tests
gptkbp:is_used_by big data applications
gptkbp:is_used_for data analysis
data lakes
gptkbp:is_used_in gptkb:cloud_computing
gptkb:machine_learning
data warehousing
gptkbp:is_utilized_by data scientists
gptkbp:is_utilized_for data backup
data storage solutions
data archiving
gptkbp:is_utilized_in business intelligence
real-time analytics
gptkbp:provides scalability
data redundancy
high throughput access to application data
gptkbp:storage petabytes of data
gptkbp:supports multiple clients
data locality
replication
streaming access
gptkbp:uses block storage
master/slave architecture
gptkbp:written_in gptkb:Java
gptkbp:bfsParent gptkb:Apache_Hive
gptkb:Hadoop
gptkb:Chordata
gptkbp:bfsLayer 4