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ç¬¬16å›žã€€ä¸¦åˆ—ãƒ‡ãƒ¼ã‚¿å‡¦ç†ç³» Apache Tez | gihyo.jp
ã¯ã˜ã‚ã« ä»Šå›žã¯ã€Apache Hadoopä¸Šã§å‹•ä½œã™ã‚‹ä¸¦åˆ—ãƒ‡ãƒ¼ã‚¿å‡¦ç†ç³»Apache Tezã«ã¤ã„ã¦è§£èª¬ã—ã¾ã™ã€‚ MapReduceã®åˆ¶ç´„ æœ¬é€£è¼‰ç¬¬13å›žã§è¿°ã¹ãŸã‚ˆã†ã«ã€Hadoop MapReduceã¯ã€Mapã¨Reduceã‹ã‚‰ãªã‚‹å˜ç´”ãªã‚¤ãƒ³ã‚¿ãƒ•ã‚§ãƒ¼ã‚¹ã‚’æœ‰ã—ã€å¤šãã®ãƒ‡ãƒ¼ã‚¿å‡¦ç†ã‚’è¨˜è¿°ã§ãã‚‹æ±Žç”¨çš„ãªä¸¦åˆ—ãƒ‡ãƒ¼ã‚¿å‡¦ç†ç³»ï¼ˆãƒ•ãƒ¬ãƒ¼ãƒ ãƒ¯ãƒ¼ã‚¯ï¼‰ã§ã‚ã‚‹åé¢ã€ãã®å˜ç´”ã•ã«ã‚ˆã‚Šã„ãã¤ã‹ã®æ€§èƒ½çš„ãªèª²é¡ŒãŒå˜åœ¨ã™ã‚‹ã¨è€ƒãˆã‚‰ã‚Œã¾ã™ã€‚ ãŸã¨ãˆã°ã€è¤‡é›‘ãªã‚¸ãƒ§ãƒ–ã‚’MapReduceã§å®Ÿè¡Œã™ã‚‹å ´åˆã€Mapã¨Reduceã‹ã‚‰ãªã‚‹MapReduceã‚¸ãƒ§ãƒ–ã‚’è¤‡æ•°æ®µé€£ãã¦å®Ÿè¡Œã™ã‚‹å¿…è¦ãŒã‚ã‚Šã¾ã™ï¼ˆå›³1â ï¼‰â ã€‚å½“è©²ã‚±ãƒ¼ã‚¹ã«ãŠã„ã¦ã¯ã€MapReduceã‚¸ãƒ§ãƒ–ã®é–“ã«ãŠã„ã¦ã€åˆ†æ•£ãƒ•ã‚¡ã‚¤ãƒ«ã‚·ã‚¹ãƒ†ãƒ ã‚’ä»‹ã—ãŸãƒ‡ãƒ¼ã‚¿ã®å…¥å‡ºåŠ›ãŒè¡Œã‚ã‚Œã¦ã—ã¾ã„ã€å½“è©²å…¥å‡ºåŠ›ã¯ã€æ€§èƒ½ã®è¦³ç‚¹ã«ãŠã„ã¦ã¯ã‚ªãƒ¼ãƒãƒ¼ãƒ˜ãƒƒãƒ‰ã§ã‚ã‚‹ãŸã‚ã€ã‚¸ãƒ§ãƒ–ã®å®Ÿè¡Œæ™‚é–“ã‚’é•·ãã™ã‚‹åŽŸå› ã®1ã¤ã¨ãªã‚Šãˆã¾ã™ã€‚
mogwaing 2016/02/09
hadoop

distributed system

tez

parallel processing
ãƒªãƒ³ã‚¯
Apache Tez â€“ Present and Future
mogwaing 2015/05/13
2015

hadoop

tez
ãƒªãƒ³ã‚¯
Cloudera Blog
mogwaing 2015/02/27
Writing a Tez Input/Processor/Output

tez

parallel processing
ãƒªãƒ³ã‚¯
GitHub - apache/tez: Apache Tez
mogwaing 2015/01/15
tez

hadoop

git
ãƒªãƒ³ã‚¯
GitHub - apache/incubator-tez: Mirror of Apache Tez (Incubating)
mogwaing 2015/01/15
tez

git

hadoop
ãƒªãƒ³ã‚¯
Apache Tez : Accelerating Hadoop Query Processing
2. Â© Hortonworks Inc. 2013 Tez â€“ Introduction Page 2 â€¢ Distributed execution framework targeted towards data-processing applications. â€¢ Based on expressing a computation as a dataflow graph. â€¢ Highly customizable to meet a broad spectrum of use cases. â€¢ Built on top of YARN â€“ the resource management framework for Hadoop. â€¢ Open source Apache incubator project and Apache licensed. 3. Â© Hortonworks
mogwaing 2014/05/19
hadoop

tez

parallel processing
ãƒªãƒ³ã‚¯
Cloudera Blog
We are excited to announce the acquisition of Octop ai, a leading data lineage and catalog platform that provides data discovery and governance for enterprises to enhance their data-driven decision making. Clouderaâ€™s mission since its inception has been to empower organizations to transf orm all their data to deliver trusted, valuable, and predictive insights. With AI and [â€¦] Read blog post
mogwaing 2014/04/22
hive

tez

stinger

hadoop
ãƒªãƒ³ã‚¯
Apache Tez: Accelerating Hadoop Query Processing
This document discusses Apache Tez, a framework for accelerating Hadoop query processing. Some key points: - Tez is a dataflow framework that expresses computations as directed acyclic graphs (DAGs) of tasks, allowing for optimizations like container reuse and locality-aware scheduling. - It is built on YARN and provides a customizable execution engine as well as APIs for applications like Hive an
mogwaing 2013/11/28
tez

hadoop

parallel processing

data flow

dag
ãƒªãƒ³ã‚¯
Cloudera Blog
Enterprise IT leaders across industries are tasked with preparing their organizations for the techno logies of the future â€“ which is no simple task. With the use of AI exploding, Cloudera, in partnership with Researchscape, surveyed 600 IT leaders who work at companies with over 1,000 employees in the U.S., EMEA and APAC regions. The survey, [â€¦] Read blog post
mogwaing 2013/02/26
tez

hadoop

hortonworks

stinger

hdfs
ãƒªãƒ³ã‚¯
TezProposal - INCUBATOR - Apache Software Foundation
Tez Abstract Tez is an effort to develop a generic application framework which can be used to process arbitrarily complex data-processing tasks and also a re-usa ble set of data-processing primitives which can be used by other projects. Proposal Tez is a proposal to develop a generic application which can be used to process complex data-processing task DAGs and runs natively on Apache Hadoop YARN.
mogwaing 2013/02/22
hadoop

yarn

mapreduce

tez
ãƒªãƒ³ã‚¯
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