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Hadoop HDFS Review
What is Hadoop HDFS?
Hadoop HDFS is created using a distributed file system design. It operates on commodity hardware and is highly fault-tolerant and created using low-cost hardware, a far cry from other distributed platforms. The Hadoop Distributed File System (HDFS) functions as the main storage system used by Hadoop applications.
HDFS is a distributed file system that delivers high-performance access to data across Hadoop clusters. Like other Hadoop-related technologies, HDFS has evolved to become a critical application for handling pools of big data as well as supporting tools for big data analytics.
HDFS is capable of holding very large amount of data and gives users an easier access to them compared to other alternatives. To store such huge data, the files are placed across multiple machines. These files are stored in a redundant manner to save the system from potential data losses in case of failure. HDFS also makes applications available for parallel processing.
Show MoreOverview of Hadoop HDFS Benefits
HDFS is created to support applications with huge sets of data such as individual files that number into the terabytes. It leverages a master/slave architecture, with each cluster comprising of a single NameNode that handles file system operations and supports DataNodes that administer data storage on singular compute nodes.
HDFS is open source software. Once an organization decides to use HDFS, it can be implemented with zero licensing and support expenses. This cost advantage enables organizations to store and process orders of magnitude and more data per dollar than conventional SAN or NAS systems, which is the selling point for many of these other systems.
Because HDFS typically is implemented on low-cost commodity hardware, server failures occur every now and then. While HDFS is created to be highly fault-tolerant, the system continues to function because data is transferred rapidly between compute nodes once a node fails. The design effectively diminishes the risk of catastrophic failure, even if and when numerous nodes fail simultaneously.
When HDFS digests in data, it breaks the information down into separate pieces and delivers them to different nodes in a cluster, which allows for parallel processing. The file system also replicates each piece of data multiple times and delivers the copies to individual nodes, placing at least one copy on a different server rack than the others. This means that the data on nodes that crash can be found elsewhere within a cluster, enabling the processing to continue while the failure is resolved.
Show MoreOverview of Hadoop HDFS Features
- File System Namespace
- Data Replication
- Data Disk Failure, Heartbeats, and Re-Replication
- Cluster Rebalancing
- Data Integrity
- Data Blocks
- Staging
- Replication Pipelining
- FS Shell
- DFSAdmin
- Browser Interface
- Space Reclamation
Hadoop HDFS Position In Our Categories
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Position of Hadoop HDFS in our main categories:
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500
Hadoop HDFS is one of the top 500 IT Management Software products
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How Much Does Hadoop HDFS Cost?
Hadoop HDFS Pricing Plans:
Free Trial
Hadoop HDFS
Free
What are Hadoop HDFS pricing details?
Hadoop HDFS Pricing Plans:
Free Trial
Hadoop HDFS
Free
The Hadoop Distributed File System (HDSF) is part of the Apache™ Hadoop® free open source project.
User Satisfaction
Positive Social Media Mentions
34
Negative Social Media Mentions
2
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Video
Technical details
Devices Supported
- Windows
- Mac
- Web-based
Deployment
- On Premise
Language Support
- English
Pricing Model
- Free
Customer Types
- Small Business
- Large Enterprises
- Medium Business
What Support Does This Vendor Offer?
- phone
- live support
- training
- tickets
What integrations are available for Hadoop HDFS?
No information available.
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