Suche senden
Hochladen
Hadoop Conference Japan 2011 Fall
•
Als KEY, PDF herunterladen
•
3 gefällt mir
•
1,107 views
Ryu Kobayashi
Folgen
Technologie
Business
Melden
Teilen
Melden
Teilen
1 von 63
Jetzt herunterladen
Empfohlen
Akka PersistenceのJournalのライフサイクル管理
Akka PersistenceのJournalのライフサイクル管理
Ikuo Matsumura
Fast, Scalable Graph Processing: Apache Giraph on YARN
Fast, Scalable Graph Processing: Apache Giraph on YARN
DataWorks Summit
AWS Black Belt Techシリーズ Amazon EMR
AWS Black Belt Techシリーズ Amazon EMR
Amazon Web Services Japan
COOKPADでのHadoop利用
COOKPADでのHadoop利用
Tatsuya Sasaki
HBaseCon 2012 | Orchestrating Clusters with Ironfan and Chef - Runa
HBaseCon 2012 | Orchestrating Clusters with Ironfan and Chef - Runa
Cloudera, Inc.
WOOster: A Map-Reduce based Platform for Graph Mining
WOOster: A Map-Reduce based Platform for Graph Mining
aravindan_raghu
Orchestrating HBase Cluster Deployment with Ironfan and Chef
Orchestrating HBase Cluster Deployment with Ironfan and Chef
Robert Berger
An introduction to apache drill presentation
An introduction to apache drill presentation
MapR Technologies
Empfohlen
Akka PersistenceのJournalのライフサイクル管理
Akka PersistenceのJournalのライフサイクル管理
Ikuo Matsumura
Fast, Scalable Graph Processing: Apache Giraph on YARN
Fast, Scalable Graph Processing: Apache Giraph on YARN
DataWorks Summit
AWS Black Belt Techシリーズ Amazon EMR
AWS Black Belt Techシリーズ Amazon EMR
Amazon Web Services Japan
COOKPADでのHadoop利用
COOKPADでのHadoop利用
Tatsuya Sasaki
HBaseCon 2012 | Orchestrating Clusters with Ironfan and Chef - Runa
HBaseCon 2012 | Orchestrating Clusters with Ironfan and Chef - Runa
Cloudera, Inc.
WOOster: A Map-Reduce based Platform for Graph Mining
WOOster: A Map-Reduce based Platform for Graph Mining
aravindan_raghu
Orchestrating HBase Cluster Deployment with Ironfan and Chef
Orchestrating HBase Cluster Deployment with Ironfan and Chef
Robert Berger
An introduction to apache drill presentation
An introduction to apache drill presentation
MapR Technologies
800万人の"食べたい"をHadoopで分散処理
800万人の"食べたい"をHadoopで分散処理
Tatsuya Sasaki
Tachyon and Apache Spark
Tachyon and Apache Spark
rhatr
Hw09 Making Hadoop Easy On Amazon Web Services
Hw09 Making Hadoop Easy On Amazon Web Services
Cloudera, Inc.
961万人の食卓を支えるデータ解析
961万人の食卓を支えるデータ解析
Tatsuya Sasaki
Elephant in the cloud
Elephant in the cloud
rhatr
London hug
London hug
Ted Dunning
マーケティングのためのHadoop利用
マーケティングのためのHadoop利用
Tatsuya Sasaki
Dataiku pig - hive - cascading
Dataiku pig - hive - cascading
Dataiku
Hadoop
Hadoop
Po-Han Chen
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Oliver Gierke
Spring Day | Data Access 2.0? Please Welcome Spring Data! | Oliver Gierke
Spring Day | Data Access 2.0? Please Welcome Spring Data! | Oliver Gierke
JAX London
Apachecon Euro 2012: Elastic, Multi-tenant Hadoop on Demand
Apachecon Euro 2012: Elastic, Multi-tenant Hadoop on Demand
Richard McDougall
hadoop事例紹介
hadoop事例紹介
OSSラボ株式会社
Searching conversations with hadoop
Searching conversations with hadoop
DataWorks Summit
Hadoop World 2011: Hadoop and RDBMS with Sqoop and Other Tools - Guy Harrison...
Hadoop World 2011: Hadoop and RDBMS with Sqoop and Other Tools - Guy Harrison...
Cloudera, Inc.
Hadoop導入事例 in クックパッド
Hadoop導入事例 in クックパッド
Tatsuya Sasaki
Treasure Data on The YARN - Hadoop Conference Japan 2014
Treasure Data on The YARN - Hadoop Conference Japan 2014
Ryu Kobayashi
Architecting the Future of Big Data & Search - Eric Baldeschwieler
Architecting the Future of Big Data & Search - Eric Baldeschwieler
lucenerevolution
Large Scale Data Processing & Storage
Large Scale Data Processing & Storage
Ilayaraja P
Padrino - the Godfather of Sinatra
Padrino - the Godfather of Sinatra
Stoyan Zhekov
PLAZMA TD Tech Talk 2018 at Shibuya: Hive2 as a new td hadoop core engine
PLAZMA TD Tech Talk 2018 at Shibuya: Hive2 as a new td hadoop core engine
Ryu Kobayashi
Huahin Framework for Hadoop, Hadoop Conference Japan 2013 Winter
Huahin Framework for Hadoop, Hadoop Conference Japan 2013 Winter
Ryu Kobayashi
Weitere ähnliche Inhalte
Ähnlich wie Hadoop Conference Japan 2011 Fall
800万人の"食べたい"をHadoopで分散処理
800万人の"食べたい"をHadoopで分散処理
Tatsuya Sasaki
Tachyon and Apache Spark
Tachyon and Apache Spark
rhatr
Hw09 Making Hadoop Easy On Amazon Web Services
Hw09 Making Hadoop Easy On Amazon Web Services
Cloudera, Inc.
961万人の食卓を支えるデータ解析
961万人の食卓を支えるデータ解析
Tatsuya Sasaki
Elephant in the cloud
Elephant in the cloud
rhatr
London hug
London hug
Ted Dunning
マーケティングのためのHadoop利用
マーケティングのためのHadoop利用
Tatsuya Sasaki
Dataiku pig - hive - cascading
Dataiku pig - hive - cascading
Dataiku
Hadoop
Hadoop
Po-Han Chen
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Oliver Gierke
Spring Day | Data Access 2.0? Please Welcome Spring Data! | Oliver Gierke
Spring Day | Data Access 2.0? Please Welcome Spring Data! | Oliver Gierke
JAX London
Apachecon Euro 2012: Elastic, Multi-tenant Hadoop on Demand
Apachecon Euro 2012: Elastic, Multi-tenant Hadoop on Demand
Richard McDougall
hadoop事例紹介
hadoop事例紹介
OSSラボ株式会社
Searching conversations with hadoop
Searching conversations with hadoop
DataWorks Summit
Hadoop World 2011: Hadoop and RDBMS with Sqoop and Other Tools - Guy Harrison...
Hadoop World 2011: Hadoop and RDBMS with Sqoop and Other Tools - Guy Harrison...
Cloudera, Inc.
Hadoop導入事例 in クックパッド
Hadoop導入事例 in クックパッド
Tatsuya Sasaki
Treasure Data on The YARN - Hadoop Conference Japan 2014
Treasure Data on The YARN - Hadoop Conference Japan 2014
Ryu Kobayashi
Architecting the Future of Big Data & Search - Eric Baldeschwieler
Architecting the Future of Big Data & Search - Eric Baldeschwieler
lucenerevolution
Large Scale Data Processing & Storage
Large Scale Data Processing & Storage
Ilayaraja P
Padrino - the Godfather of Sinatra
Padrino - the Godfather of Sinatra
Stoyan Zhekov
Ähnlich wie Hadoop Conference Japan 2011 Fall
(20)
800万人の"食べたい"をHadoopで分散処理
800万人の"食べたい"をHadoopで分散処理
Tachyon and Apache Spark
Tachyon and Apache Spark
Hw09 Making Hadoop Easy On Amazon Web Services
Hw09 Making Hadoop Easy On Amazon Web Services
961万人の食卓を支えるデータ解析
961万人の食卓を支えるデータ解析
Elephant in the cloud
Elephant in the cloud
London hug
London hug
マーケティングのためのHadoop利用
マーケティングのためのHadoop利用
Dataiku pig - hive - cascading
Dataiku pig - hive - cascading
Hadoop
Hadoop
Data Access 2.0? Please welcome, Spring Data!
Data Access 2.0? Please welcome, Spring Data!
Spring Day | Data Access 2.0? Please Welcome Spring Data! | Oliver Gierke
Spring Day | Data Access 2.0? Please Welcome Spring Data! | Oliver Gierke
Apachecon Euro 2012: Elastic, Multi-tenant Hadoop on Demand
Apachecon Euro 2012: Elastic, Multi-tenant Hadoop on Demand
hadoop事例紹介
hadoop事例紹介
Searching conversations with hadoop
Searching conversations with hadoop
Hadoop World 2011: Hadoop and RDBMS with Sqoop and Other Tools - Guy Harrison...
Hadoop World 2011: Hadoop and RDBMS with Sqoop and Other Tools - Guy Harrison...
Hadoop導入事例 in クックパッド
Hadoop導入事例 in クックパッド
Treasure Data on The YARN - Hadoop Conference Japan 2014
Treasure Data on The YARN - Hadoop Conference Japan 2014
Architecting the Future of Big Data & Search - Eric Baldeschwieler
Architecting the Future of Big Data & Search - Eric Baldeschwieler
Large Scale Data Processing & Storage
Large Scale Data Processing & Storage
Padrino - the Godfather of Sinatra
Padrino - the Godfather of Sinatra
Mehr von Ryu Kobayashi
PLAZMA TD Tech Talk 2018 at Shibuya: Hive2 as a new td hadoop core engine
PLAZMA TD Tech Talk 2018 at Shibuya: Hive2 as a new td hadoop core engine
Ryu Kobayashi
Huahin Framework for Hadoop, Hadoop Conference Japan 2013 Winter
Huahin Framework for Hadoop, Hadoop Conference Japan 2013 Winter
Ryu Kobayashi
Developers summit cassandraで見るNoSQL
Developers summit cassandraで見るNoSQL
Ryu Kobayashi
Hadoopソースコードリーディング第3回 Hadopo MR + Cassandra
Hadoopソースコードリーディング第3回 Hadopo MR + Cassandra
Ryu Kobayashi
AWSを使ったトラッキングログ収集
AWSを使ったトラッキングログ収集
Ryu Kobayashi
Hadoopソースコードリーディング MapReduce障害時のフロー
Hadoopソースコードリーディング MapReduce障害時のフロー
Ryu Kobayashi
Mehr von Ryu Kobayashi
(6)
PLAZMA TD Tech Talk 2018 at Shibuya: Hive2 as a new td hadoop core engine
PLAZMA TD Tech Talk 2018 at Shibuya: Hive2 as a new td hadoop core engine
Huahin Framework for Hadoop, Hadoop Conference Japan 2013 Winter
Huahin Framework for Hadoop, Hadoop Conference Japan 2013 Winter
Developers summit cassandraで見るNoSQL
Developers summit cassandraで見るNoSQL
Hadoopソースコードリーディング第3回 Hadopo MR + Cassandra
Hadoopソースコードリーディング第3回 Hadopo MR + Cassandra
AWSを使ったトラッキングログ収集
AWSを使ったトラッキングログ収集
Hadoopソースコードリーディング MapReduce障害時のフロー
Hadoopソースコードリーディング MapReduce障害時のフロー
Kürzlich hochgeladen
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
debabhi2
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
Enterprise Knowledge
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Miguel Araújo
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Neo4j
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
Gabriella Davis
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
ThousandEyes
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
Maria Levchenko
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Igalia
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
The Digital Insurer
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
naman860154
🐬 The future of MySQL is Postgres 🐘
🐬 The future of MySQL is Postgres 🐘
RTylerCroy
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
apidays
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
Radu Cotescu
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your Business
Pixlogix Infotech
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
vu2urc
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
Earley Information Science
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
Safe Software
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
Puma Security, LLC
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
Rafal Los
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
Igalia
Kürzlich hochgeladen
(20)
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
🐬 The future of MySQL is Postgres 🐘
🐬 The future of MySQL is Postgres 🐘
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your Business
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
Hadoop Conference Japan 2011 Fall
1.
Hadoop Conference Japan
2011 Fall 2011/09/26 @ryu_kobayashi
2.
• •
• ... • ... • MapReduce ...... 100
3.
4.
Web
5.
Web
6.
Web •
7.
Web • •
Web
8.
Web • •
Web •
9.
10.
•
11.
• •
12.
Log
13.
Log
A
14.
Log
A
15.
Log
A B
16.
17.
Google
18.
Google
19.
Google 38%
20.
Google 38%
32%
21.
Google 38%
32% 17%
22.
Google 38%
32% 17%
23.
API
API Hadoop ××TB
24.
API REST API
25.
API REST API
26.
API REST API
XML
27.
28.
29.
AWS EMR Elastic MapReduce
30.
AWS EMR Elastic MapReduce
OR
31.
AWS EMR Elastic
MapReduce OR Hadoop MR Job
32.
AWS EMR Elastic
MapReduce OR Hadoop MR Job
33.
AWS EMR Elastic
MapReduce OR Hadoop MR Job
34.
API REST API
35.
API REST API
36.
API REST API
37.
38.
MapReduce Java MapReduce
39.
MapReduce
Java MapReduce Hive Pig
40.
MapReduce
Java MapReduce Hive Pig
41.
MapReduce
Java MapReduce Hive Pig MR
42.
MapReduce
Java MapReduce Hive Pig MR
43.
MapReduce
Java MapReduce Hive Pig MR
44.
45.
Hive, Pig Asakusa
FW
46.
Hive, Pig Asakusa
FW
47.
Hive, Pig Asakusa
FW OSS
48.
Hive, Pig Asakusa
FW OSS MapReduce2 MR2
49.
50.
•
51.
• •
52.
• • •
53.
• • • •
54.
• • • • •
55.
• • • • • •
56.
• • • • • • •
etc...
57.
• • • • • • •
etc...
58.
• • • • • • •
etc... • Job
59.
• • • • • • •
etc... • Job • Job Kill
60.
• • • • • • •
etc... • Job • Job Kill • etc...
61.
SaaS
62.
I will die Hadoop
Hinweis der Redaktion
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
Jetzt herunterladen