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最近工作需要,要看HDInsight部分,这里要做笔记。自然是官网资料最权威,所以内容都从这里搬过来:https://azure.microsoft.com/en-us/documentation/articles/hdinsight-hadoop-introduction/
Hadoop on HDInsight
搞大数据,都知道Hadoop,那么HDInsight和Hadoop啥关系呢?HDInsight是M$基于Azure的一个软件架构,主要做大数据分析、管理用的,它使用了HDP(Hortonworks Data Platform)的Hadoop发行版。然后有点要注意,我们讲的Hadoop 一般指的是Hadoop的生态系统,包括Storm/Hbase等,而不单单是那个小大象。
HDInsight可以理解为是Apache Hadoop在微软Azure上的一个实现,里面包含了对应的Storm, HBase, Pig, Hive, Sqoop, Oozie, Ambari等等,当然,也捆绑了自家的Excel,SSAS,SSRS。
HDInsight支持两种类型操作系统,Linux和M$自己的Windows,区别主要在这里:
CATEGORY | HADOOP ON LINUX | HADOOP ON WINDOWS |
Cluster OS | Ubuntu 12.04 Long Term Support (LTS) | Windows Server 2012 R2 |
Cluster Type | Hadoop | Hadoop, HBase, Storm |
Deployment | Azure Management Portal, Azure CLI, Azure PowerShell | Azure Management Portal, Azure CLI, Azure PowerShell, HDInsight .NET SDK |
Cluster UI | Ambari | Cluster Dashboard |
Remote Access | Secure Shell (SSH) | Remote Desktop Protocol (RDP) |
一些基本概念及定义
Hadoop (the "Query" workload): Provides reliable data storage with HDFS, and a simple MapReduce programming model to process and analyze data in parallel.
HBase (the "NoSQL" workload): A NoSQL database built on Hadoop that provides random access and strong consistency for large amounts of unstructured and semi-structured data - potentially billions of rows times millions of columns. See Overview of HBase on HDInsight.
Apache Storm (the "Stream" workload): A distributed, real-time computation system for processing large streams of data fast. Storm is offered as a managed cluster in HDInsight. See Analyze real-time sensor data using Storm and Hadoop.
Ambari: Cluster provisioning, management, and monitoring.
Avro (Microsoft .NET Library for Avro): Data serialization for the Microsoft .NET environment.
Hive & HCatalog: Structured Query Language (SQL)-like querying, and a table and storage management layer.
Mahout: Machine learning.
MapReduce and YARN: Distributed processing and resource management.
Oozie: Workflow management.
Phoenix: Relational database layer over HBase.
Pig: Simpler scripting for MapReduce transformations.
Sqoop: Data import and export.
Tez: Allows data-intensive processes to run efficiently at scale.
ZooKeeper: Coordination of processes in distributed systems.
HBase
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原文地址:http://www.cnblogs.com/juqiang/p/4735605.html