Apache Hadoop

Time 2020-06-30 16:05:01

Web Name: Apache Hadoop

WebSite: http://hadoop.apache.org

ID:15184

Keywords:

Apache,Hadoop,

Description:

Apache HadoopThe Apache™ Hadoop® project develops open-source software for reliable, scalable, distributed computing.The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.First beta release of Apache Hadoop Ozone with GDPR Right to Erasure, Network Topology Awareness, O3FS, and improved scalability/stability.For more information check the ozone site.This is the first stable release of Apache Hadoop 2.10 line. It contains 362 bug fixes, improvements and enhancements since 2.9.0.Users are encouraged to read the overview of major changes since 2.9.0.For details of 362 bug fixes, improvements, and other enhancements since the previous 2.9.0 release,please check release notes and changelogdetail the changes since 2.9.0.This is the third stable release of Apache Hadoop 3.1 line. It contains 246 bug fixes, improvements and enhancements since 3.1.2.Users are encouraged to read the overview of major changes since 3.1.2.For details of the bug fixes, improvements, and other enhancements since the previous 3.1.2 release,please check release notes and changelogNext version of Apache Hadoop Ozone is released with Native ACLs, K8s support and improved stability.For more information check the ozone site.This is the second stable release of Apache Hadoop 3.2 line. It contains 493 bug fixes, improvements and enhancements since 3.2.0Users are encouraged to read the overview of major changes since 3.2.0For details of 493 bug fixes, improvements, and other enhancements since the previous 3.2.0 release,please check release notes and changelogdetail the changes since 3.2.0Hadoop Common: The common utilities that support the other Hadoop modules.Hadoop Distributed File System (HDFS™): A distributed file system that provides high-throughput access to application data.Hadoop YARN: A framework for job scheduling and cluster resource management.Hadoop MapReduce: A YARN-based system for parallel processing of large data sets.Hadoop Ozone: An object store for Hadoop. A wide variety of companies and organizations use Hadoop for both research and production. Users are encouraged to add themselves to the Hadoop PoweredBy wiki page.Ambari™: A web-based tool for provisioning,managing, and monitoring Apache Hadoop clusters which includessupport for Hadoop HDFS, Hadoop MapReduce, Hive, HCatalog, HBase,ZooKeeper, Oozie, Pig and Sqoop. Ambari also provides a dashboardfor viewing cluster health such as heatmaps and ability to viewMapReduce, Pig and Hive applications visually alongwith features todiagnose their performance characteristics in a user-friendlymanner.Avro™: A data serialization system.Cassandra™: A scalable multi-master databasewith no single points of failure.Chukwa™: A data collection system for managinglarge distributed systems.HBase™: A scalable, distributed database thatsupports structured data storage for large tables.Hive™: A data warehouse infrastructure that providesdata summarization and ad hoc querying.Mahout™: A Scalable machine learning and datamining library.Pig™: A high-level data-flow language and executionframework for parallel computation.Spark™: A fast and general compute engine forHadoop data. Spark provides a simple and expressive programmingmodel that supports a wide range of applications, including ETL,machine learning, stream processing, and graph computation.Submarine: A unified AI platform which allowsengineers and data scientists to run Machine Learning and Deep Learning workload indistributed cluster.Tez™: A generalized data-flow programming framework,built on Hadoop YARN, which provides a powerful and flexible engineto execute an arbitrary DAG of tasks to process data for both batchand interactive use-cases. Tez is being adopted by Hive™, Pig™ andother frameworks in the Hadoop ecosystem, and also by othercommercial software (e.g. ETL tools), to replace Hadoop™ MapReduceas the underlying execution engine.ZooKeeper™: A high-performance coordinationservice for distributed applications.

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