Hadoop supports MapReduce model, which was introduced by Google. The processing of data by Mapreduce is 2 way process.
Map: It is an ingestion and transformation step. Initially all input records processed parallel
Reduce: It is an aggregation and stigmatization step.All associated records processed together by single entity.
- Hadoop framework is a apache software. It is an open source.
- Hadoop Core, our flagship sub-project, provides a distributed filesystem (HDFS) and support for the MapReduce distributed computing metaphor.
- HBase builds on Hadoop Core to provide a scalable, distributed database.
Pig is a high-level data-flow language and execution framework for parallel computation. It is built on top of Hadoop Core.
ZooKeeper is a highly available and reliable coordination system. Distributed applications use ZooKeeper to store and mediate updates for critical shared state.
Hive is a data warehouse infrastructure built on Hadoop Core that provides data summarization, adhoc querying and analysis of datasets.
- HDFS: Hadoop distributed file system.