HBase and Map-Reduce « Joydeep Sen Sarma’s blog
HBase + Map-Reduce is a really awesome combination. In all the back and forths about NoSQL - one of the things that’s often missed out is how convenient it is to be able to do scalable data analysis directly against large online data sets (that new distributed databases like HBase allow). This is a particularly fun and feasible prospect now that frameworks like Hive allow users to express such ana
Sort Benchmark Home Page
New: We are happy to announce the 2023 winners listed below. The new records are listed in green. Congratulations to the winners! Background Until 2007, the sort benchmarks were primarily defined, sponsored and administered by Jim Gray. Following Jim's disappearance at sea in January 2007, the sort benchmarks have been continued by a committee of past colleagues and sort benchmark winners. The Sor
[HADOOP-5303] Oozie, Hadoop Workflow System - ASF Jira
This is a proposal for a system specialized in running Hadoop/Pig jobs in a control dependency DAG (Direct Acyclic Graph), a Hadoop workflow application. Attached there is a complete specification and a high level overview presentation. Highlights A Workflow application is DAG that coordinates the following types of actions: Hadoop, Pig, Ssh, Http, Email and sub-workflows. Flow control operations
zebra - Pig Wiki
Apache Zebra Wiki Introduction Zebra is a storage layer that provides a high level data access abstraction and a tabular view of data in Hadoop, and could free Pig users from implementing their own data storage/retrieval code. It provites columnar storage format for fast data projection schema language to manage physical storage metadata CPU/space-efficient data serialization In the future, it cou
[MAPREDUCE-1262] Eclipse Plugin does not build for Hadoop 0.20.1 - ASF JIRA
When trying to run the build script for the Eclipse Plugin in src/contrib/eclipse-plugin there are several errors a user receives. The first error is that the eclipse.home is not set. This is easily remedied by adding a value for eclipse.home in the build.properties file in the eclipse-plugin directory. The script then states it cannot compile org.apache.hadoop.eclipse.launch.HadoopApplicationLaun
MapReduce and Parallel DBMSs: Friends or Foes? – Communications of the ACM
MapReduce complements DBMSs since databases are not designed for extract-transform-load tasks, a MapReduce specialty. The MapReduce7 (MR) paradigm has been hailed as a revolutionary new platform for large-scale, massively parallel data access.16 Some proponents claim the extreme scalability of MR will relegate relational database management systems (DBMS) to the status of legacy technology. At lea
FAQ - Hadoop Wiki
1. General 1.1. What is Hadoop? Hadoop is a distributed computing platform written in Java. It incorporates features similar to those of the Google File System and of MapReduce. For some details, see HadoopMapReduce. 1.2. What platforms and Java versions does Hadoop run on? Java 1.6.x or higher, preferably from Sun -see HadoopJavaVersions Linux and Windows are the supported operating systems, but
Cloudera Blog
We are excited to announce the acquisition of Octopai, a leading data lineage and catalog platform that provides data discovery and governance for enterprises to enhance their data-driven decision making. Cloudera’s mission since its inception has been to empower organizations to transform all their data to deliver trusted, valuable, and predictive insights. With AI and […] Read blog post
Cloudera Blog
We are excited to announce the acquisition of Octopai, a leading data lineage and catalog platform that provides data discovery and governance for enterprises to enhance their data-driven decision making. Cloudera’s mission since its inception has been to empower organizations to transform all their data to deliver trusted, valuable, and predictive insights. With AI and […] Read blog post
Hadoop World NYC å‚åŠ è¨˜ - moratorium
Hadoop World NYC å‚åŠ è¨˜ 2009-10-07 (Wed) 10:03 Hadoop ã¨è¨€ã†è¨³ã§Hadoop World NYC, 2009ã®å‚åŠ è¨˜ã‚’æ›¸ãã¾ã™ã€‚ 1日目ã¯System Administrator用ã®ãƒˆãƒ¬ãƒ¼ãƒ‹ãƒ³ã‚°ã‚³ãƒ¼ã‚¹ã‚’å—ã‘ã€2日目ãŒã‚«ãƒ³ãƒ•ã‚¡ãƒ¬ãƒ³ã‚¹æœ¬ç•ªã§ã—ãŸã€‚トレーニングコースã¯Developerå‘ã‘(3日間)ã¨Managerå‘ã‘ã®ãƒ“ジãƒã‚¹å¯„ã‚Šã®ã‚³ãƒ¼ã‚¹ãŒæœ‰ã‚Šã€åˆè¨ˆã§100人ãらã„ã¯å‚åŠ ã—ã¦ã„ãŸã¨æ€ã„ã¾ã™ã€‚カンファレンスã®æœ¬ç•ªè‡ªä½“ã¯400～500人ã®å‚åŠ ã§ã—ãŸã€‚ ã¾ãšSystem Adminコースã§ã™ãŒã€å¤§ä½“以下ã®ã‚ˆã†ãªå†…容ã§ã—ãŸã€‚ MapReduceã®åŸºæœ¬æ¦‚念 ãƒãƒ¼ãƒ‰ã‚¦ã‚§ã‚¢/ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯æ©Ÿå™¨ã®é¸å®šãƒã‚¤ãƒ³ãƒˆ OSã‚„Javaãªã©ã€ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ã§ã®æ³¨æ„点 Hadoop(Cloudera Distribution)ã®ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«æ–¹æ³• パラメーター/パフォーマンスãƒãƒ¥ãƒ¼
Apache Forrest
The first time you run Forrest it may attempt to retrieve some plugins from the Internet (it depends on which distribution of Forrest you have installed). In some cases this will happen whenever a new plugin is specified, in other cases, for example when you have installed all plugins locally or have checked out the full source tree, the plugins will be retrieved from your local installation. In a
Three different implementations of MapReduce | DBMSÂ 2 : DataBase Management System Services
So far as I can see, there are three implementations of MapReduce that matter for enterprise analytic use – Hadoop, Greenplum’s, and Aster Data’s.* Hadoop has of course been available for a while, and used for a number of different things, while Greenplum’s and Aster Data’s versions of MapReduce – both in late-stage beta – have far fewer users. *Perhaps Nokia’s Disco or another implementation will
Overview (Hadoop API)
<noscript> <div>JavaScript is disabled on your browser.</div> </noscript> <h2>Frame Alert</h2> <p>This document is designed to be viewed using the frames feature. If you see this message, you are using a non-frame-capable web client. Link to <a href="overview-summary.html">Non-frame version</a>.</p>
MountableHDFS - HADOOP2 - Apache Software Foundation
[machine1] ~ > df -kh /export/hdfs/ Filesystem Size Used Avail Use% Mounted on fuse 4.1P 642T 3.5P 21% /export/hdfs [machine1] ~ > ls /export/hdfs/ home tmp Trash user usr var These projects (enumerated below) allow HDFS to be mounted (on most flavors of Unix) as a standard file system using the mount command. Once mounted, the user can operate on an instance of hdfs using standard Unix utilities
BigTable: A Distributed Structured Storage System
BigTable: A Distributed Structured Storage System - 1:00:05 - Oct 18, 2005 Jeff Dean - norfolk.cs.washington.edu/htbin-post/unrestricted/colloq/details.cgi?id=437 ()Â Rate: In this lecture at the University of Washington, Google's Jeff Dean discusses the Bigtable content storage system used in google's backend. Download video - iPod/PSPÂ |Â Embed video Download is starting. Save file to your comput
HadoopDfsReadWriteExample - HADOOP2 - Apache Software Foundation
Simple Example to Read and Write files from Hadoop DFS Reading from and writing to Hadoop DFS is no different from how it is done with other file systems. The example HadoopDFSFileReadWrite.java reads a file from HDFS and writes it to another file on HDFS (copy command). Hadoop FileSystem API describes the methods available to user. Let us walk through the code to understand how it is done. Before
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https://dl.acm.org/citation.cfm?id=1559845.1559865&coll=ACM&dl=ACM&type=series&idx=SERIES473&part=series&WantType=Proceedings&title=SIGMOD&CFID=44040906&CFTOKEN=85133887
[HADOOP-5678] Mixed up #includes in c++ files. - ASF JIRA
Cloudera
Andrew Hitchcock Blog
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