Search results
Results From The WOW.Com Content Network
The core of Apache Hadoop consists of a storage part, known as Hadoop Distributed File System (HDFS), and a processing part which is a MapReduce programming model. Hadoop splits files into large blocks and distributes them across nodes in a cluster. It then transfers packaged code into nodes to process the data in parallel.
Stanbol: Software components for semantic content management; Stratos: Platform-as-a-Service (PaaS) framework; Tajo: relational data warehousing system. It using the hadoop file system as distributed storage. Tiles: templating framework built to simplify the development of web application user interfaces.
Burningwave Core: Java library to build frameworks. Cascading: Abstraction layer for Apache Hadoop and Apache Flink. Cascading is used to create and execute complex data processing workflows on a Hadoop cluster using any JVM-based language. CodeName One
Sahara is a component to easily and rapidly provision Hadoop clusters. Users will specify several parameters like the Hadoop version number, the cluster topology type, node flavor details (defining disk space, CPU and RAM settings), and others. After a user provides all of the parameters, Sahara deploys the cluster in a few minutes.
Avro is a row-oriented remote procedure call and data serialization framework developed within Apache's Hadoop project. It uses JSON for defining data types and protocols, and serializes data in a compact binary format.
Since over the years Hadoop has become many thinks and applications. Most of which can be run without HDFS or even any core Hadoop components. It would be a good addition to this article to provide a list and links to the 40 plus components that have become known as part of or in them selves "Hadoop".
Main page; Contents; Current events; Random article; About Wikipedia; Contact us
The MapR File System (MapR FS) is a clustered file system that supports both very large-scale and high-performance uses. [1] MapR FS supports a variety of interfaces including conventional read/write file access via NFS and a FUSE interface, as well as via the HDFS interface used by many systems such as Apache Hadoop and Apache Spark.