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cezarovidiu

Hadoop HBase 1.0 debuts amid stiff NoSQL competition | InfoWorld - 0 views

www.infoworld.com/...d-stiff-nosql-competition.html

bigdata hbase nosql

shared by cezarovidiu on 03 Mar 15 - No Cached
  • Databases consisting of billions of rows and columns can be stored in HBase and retrieved via conventional SQL queries, and an HBase database can scale out by simply adding nodes to an existing cluster.
cezarovidiu

Installing Hadoop for Fedora & Oracle Linux(Single Node Cluster) | accretion infinity - 0 views

accretioninfinity.wordpress.com/...racle-linuxsingle-node-cluster

install hadoop bigdata blog ***

shared by cezarovidiu on 24 Oct 14 - No Cached
  • Hadoop is a framework written in Java for running applications on large clusters of commodity hardware and incorporates features similar to those of the Google File System (GFS) and of the Map Reduce computing paradigm. Hadoop’s HDFS is a highly fault-tolerant distributed file system and, like Hadoop in general, designed to be deployed on low-cost hardware. It provides high throughput access to application data and is suitable for applications that have large data sets.
  • Some of the Hadoop projects we will talk about are: HDFS : A distributed filesystem that runs on large clusters of commodity machines. Map Reduce: A distributed data processing model and execution environment that runs on large clusters of commodity machines. Pig: A data flow language and execution environment for exploring very large datasets. Pig runs on HDFS and MapReduce clusters. HBase: A distributed, column-oriented database. HBase uses HDFS for its underlying storage, and supports both batch-style computations using MapReduce and point queries (random reads). ZooKeeper: A distributed, highly available coordination service. ZooKeeper provides primitives such as distributed locks that can be used for building distributed applications. Oozie: Oozie is a workflow scheduler system to manage Apache Hadoop jobs.
  • Oracle Linux as the operating system and Hadoop 1.1.2 or 1.2.0
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