Hadoop Distributed Filesystem (HDFS)

HDFS is the backbone of the Apache Hadoop ecosystem, providing reliable, scalable distributed storage designed specifically for big data workloads. It's optimized for large files and high-throughput access patterns common in data analytics.

Key Features

• Big Data Optimized:

  • Designed for large files (GBs to TBs)
  • High throughput data access
  • Write-once, read-many model
  • Batch processing optimization
  • Streaming data access
  • MapReduce integration

• Fault Tolerance:

  • Automatic data replication
  • Configurable replication factor
  • Rack-aware placement
  • Automatic failure detection
  • Self-healing capabilities
  • Checksum verification

• Scalability:

  • Petabyte-scale storage
  • Thousands of nodes
  • Linear scaling
  • Distributed metadata
  • Namespace federation
  • High availability NameNode

• Hadoop Integration:

  • Native MapReduce support
  • YARN resource management
  • Apache Spark compatibility
  • HBase storage layer
  • Hive data warehouse
  • Rich ecosystem integration