SlideShare ist ein Scribd-Unternehmen logo
1 von 40
Downloaden Sie, um offline zu lesen
© MapR Technologies
®
© MapR Technologies, confidential
®
© MapR Technologies
®
© MapR Technologies
®
© MapR Technologies
®
© MapR Technologies
! 
! 
! 
! 
! 
®
© MapR Technologies
JVM
Data'Node
JVM
RegionServer
JVM
Name'Node
JVM
ZooKeeper
JVM
ZooKeeper
JVM
ZooKeeper
JVM
HBaseMaster
JVM
Data'Node
JVM
RegionServer
JVM
Data'Node
JVM
RegionServer
JVM
Data'Node
JVM
RegionServer
®
© MapR Technologies
JVM
Data'Node
JVM
RegionServer
JVM
Data'Node
JVM
RegionServer
JVM
Data'Node
JVM
RegionServer
JVM
Data'Node
JVM
RegionServer
HDFS
®
© MapR Technologies
®
© MapR Technologies
®
© MapR Technologies
! 
! 
! 
! 
! 
®
© MapR Technologies
File'File'
JVM
File'File'File'
File'File'File'
®
© MapR Technologies
• 
• 
• 
• 
• 
• 
• 
• 
• 
• 
• 
• 
®
© MapR Technologies
®
© MapR Technologies
0'
2000'
4000'
6000'
8000'
10000'
12000'
14000'
16000'
18000'
0' 1000' 2000' 3000' 4000' 5000' 6000'
/'
'
0'''''''''''''100''''''''''''200''''''''''''400''''''''''''600''''''''''''800'''''''''''1000'''''''''''
MapR'
'
Benchmark:'File'creates'(100B)'
Hardware:'10'nodes,'2'x'4'cores,'24'GB'
RAM,'12'x'1'TB'7200'RPM'
'
0'
50'
100'
150'
200'
250'
300'
350'
400'
0' 0.5' 1' 1.5'
/'
'
'MapR%
%
Advantage%
Rate'(creates/s)' 14T16K' 335T360' 40x%
Scale'(files)' 6B' 1.3M' 4615x%
®
© MapR Technologies
®
© MapR Technologies
" 
" 
" 
" 
" 
''
''
''
''
''
''
''
''
''
''
''
''
''
''
''
''
®
© MapR Technologies
! 
! 
! 
! 
! 
File'File'File'
®
© MapR Technologies
$"mount"maprnode:/mapr"/mapr"
$"cd"/mapr/default/user/dave"
$"pwd"
/mapr/default/user/dave"
"
$"ls"
file1""file2""table1""table2"
"
$"hbase"shell"
hbase(main):003:0>"create"'/user/dave/table3',"'cf1',"'cf2',"'cf3'"
0"row(s)"in"0.1570"seconds"
"
$"ls"
file1""file2""table1""table2""table3"
"
$"hadoop"fs"Dls"/user/dave"
Found"5"items"
DrwDrDDrDD"""3"mapr"mapr"""""""""16"2012D09D28"08:34"/user/dave/file1"
DrwDrDDrDD"""3"mapr"mapr"""""""""22"2012D09D28"08:34"/user/dave/file2"
trwxrDxrDx"""3"mapr"mapr""""""""""2"2012D09D28"08:32"/user/dave/table1"
trwxrDxrDx"""3"mapr"mapr""""""""""2"2012D09D28"08:33"/user/dave/table2"
trwxrDxrDx"""3"mapr"mapr""""""""""2"2012D09D28"08:38"/user/dave/table3"
NFS'
Hadoop'API
®
© MapR Technologies
MapR%Data%Pla*orm%(MDP)
MapR%Control%System%(MCS)
HBase&API
HDFS%API
NFS%interface
MapReduce
Apache%
HBase
Pig
Hive
Cascading
Flume
Oozie
Sqoop
HCatalog
Mahout
Whirr
MapR%Distribu-on%for
Apache%Hadoop
®
© MapR Technologies
®
© MapR Technologies
®
© MapR Technologies
" 
" 
'
'
®
© MapR Technologies
" 
– 
'
'
®
© MapR Technologies
" 
– 
– 
– 
®
© MapR Technologies
" 
– 
– 
– 
" 
– 
– 
– 
®
© MapR Technologies
! 
! 
! 
! 
! 
© MapR Technologies
®
© MapR Technologies
®
®
© MapR Technologies
" 
– 
– 
– 
– 
– 
" 
– 
– 
– 
" 
– 
– 
© MapR Technologies
®
• 
• 
• 
• 
• 
• 
© MapR Technologies
®
• 
SELECT cf1.month, cf1.year, FROM hbase.table1!
•  !
!SELECT!
!c.name, c.address, COUNT(c.children) !
!FROM!
! !SELECT!
! ! !CONVERT_FROM(cf1.user-json-blob, JSON) AS c!
FROM!
!hbase.table1!
© MapR Technologies
®
• 
SELECT table_name, table_type FROM
information_schema.tables WHERE
table_schema=‘MyDatabase’ ORDER BY table_name
DESC'
• 
•  SELECT, GROUP BY, ORDER BY, LIMIT, JOIN,
HAVING, UNION, UNION ALL,WITH, IN,
EXISTS,DISTINCT, BETWEEN
• 
• 
• 
–  CREATE DATABASE, CREATE TABLE/VIEW AS SELET,
INSERT INTO!
®
© 2014 MapR Technologies 32
• 
• 
• 
• 
• 
• 
• 
• 
• 
• 
• 
• 
• 
• 
• 
®
© MapR Technologies
! 
! 
! 
! 
! 
®
© MapR Technologies
®
© MapR Technologies
®
© MapR Technologies
CDH
MapR'
© MapR Technologies
®
®
© MapR Technologies
®
© MapR Technologies
© MapR Technologies
®
© MapR Technologies ®

Weitere ähnliche Inhalte

Was ist angesagt?

Hadoop on Azure, Blue elephants
Hadoop on Azure,  Blue elephantsHadoop on Azure,  Blue elephants
Hadoop on Azure, Blue elephantsOvidiu Dimulescu
 
Hadoop - Past, Present and Future - v2.0
Hadoop - Past, Present and Future - v2.0Hadoop - Past, Present and Future - v2.0
Hadoop - Past, Present and Future - v2.0Big Data Joe™ Rossi
 
データ解析技術入門(Hadoop編)
データ解析技術入門(Hadoop編)データ解析技術入門(Hadoop編)
データ解析技術入門(Hadoop編)Takumi Asai
 
Hadoop World 2011: Mike Olson Keynote Presentation
Hadoop World 2011: Mike Olson Keynote PresentationHadoop World 2011: Mike Olson Keynote Presentation
Hadoop World 2011: Mike Olson Keynote PresentationCloudera, Inc.
 
Hadoop: Past, Present and Future - v2.2 - SQLSaturday #326 - Tampa BA Edition
Hadoop: Past, Present and Future - v2.2 - SQLSaturday #326 - Tampa BA EditionHadoop: Past, Present and Future - v2.2 - SQLSaturday #326 - Tampa BA Edition
Hadoop: Past, Present and Future - v2.2 - SQLSaturday #326 - Tampa BA EditionBig Data Joe™ Rossi
 
Taming YARN @ Hadoop conference Japan 2014
Taming YARN @ Hadoop conference Japan 2014Taming YARN @ Hadoop conference Japan 2014
Taming YARN @ Hadoop conference Japan 2014Tsuyoshi OZAWA
 
YARN - Hadoop Next Generation Compute Platform
YARN - Hadoop Next Generation Compute PlatformYARN - Hadoop Next Generation Compute Platform
YARN - Hadoop Next Generation Compute PlatformBikas Saha
 
Hadoop Operations at LinkedIn
Hadoop Operations at LinkedInHadoop Operations at LinkedIn
Hadoop Operations at LinkedInAllen Wittenauer
 
Hadoop - Past, Present and Future - v1.1
Hadoop - Past, Present and Future - v1.1Hadoop - Past, Present and Future - v1.1
Hadoop - Past, Present and Future - v1.1Big Data Joe™ Rossi
 
Hadoop World 2011: The Hadoop Stack - Then, Now and in the Future - Eli Colli...
Hadoop World 2011: The Hadoop Stack - Then, Now and in the Future - Eli Colli...Hadoop World 2011: The Hadoop Stack - Then, Now and in the Future - Eli Colli...
Hadoop World 2011: The Hadoop Stack - Then, Now and in the Future - Eli Colli...Cloudera, Inc.
 
Drill at the Chug 9-19-12
Drill at the Chug 9-19-12Drill at the Chug 9-19-12
Drill at the Chug 9-19-12Ted Dunning
 
Etu L2 Training - Hadoop 企業應用實作
Etu L2 Training - Hadoop 企業應用實作Etu L2 Training - Hadoop 企業應用實作
Etu L2 Training - Hadoop 企業應用實作James Chen
 
Architecting the Future of Big Data & Search - Eric Baldeschwieler
Architecting the Future of Big Data & Search - Eric BaldeschwielerArchitecting the Future of Big Data & Search - Eric Baldeschwieler
Architecting the Future of Big Data & Search - Eric Baldeschwielerlucenerevolution
 
Drill lightning-london-big-data-10-01-2012
Drill lightning-london-big-data-10-01-2012Drill lightning-london-big-data-10-01-2012
Drill lightning-london-big-data-10-01-2012Ted Dunning
 
Hadoop configuration & performance tuning
Hadoop configuration & performance tuningHadoop configuration & performance tuning
Hadoop configuration & performance tuningVitthal Gogate
 

Was ist angesagt? (20)

HBase with MapR
HBase with MapRHBase with MapR
HBase with MapR
 
Hadoop on Azure, Blue elephants
Hadoop on Azure,  Blue elephantsHadoop on Azure,  Blue elephants
Hadoop on Azure, Blue elephants
 
Hadoop - Past, Present and Future - v2.0
Hadoop - Past, Present and Future - v2.0Hadoop - Past, Present and Future - v2.0
Hadoop - Past, Present and Future - v2.0
 
データ解析技術入門(Hadoop編)
データ解析技術入門(Hadoop編)データ解析技術入門(Hadoop編)
データ解析技術入門(Hadoop編)
 
Hadoop World 2011: Mike Olson Keynote Presentation
Hadoop World 2011: Mike Olson Keynote PresentationHadoop World 2011: Mike Olson Keynote Presentation
Hadoop World 2011: Mike Olson Keynote Presentation
 
Hadoop: Past, Present and Future - v2.2 - SQLSaturday #326 - Tampa BA Edition
Hadoop: Past, Present and Future - v2.2 - SQLSaturday #326 - Tampa BA EditionHadoop: Past, Present and Future - v2.2 - SQLSaturday #326 - Tampa BA Edition
Hadoop: Past, Present and Future - v2.2 - SQLSaturday #326 - Tampa BA Edition
 
Taming YARN @ Hadoop conference Japan 2014
Taming YARN @ Hadoop conference Japan 2014Taming YARN @ Hadoop conference Japan 2014
Taming YARN @ Hadoop conference Japan 2014
 
YARN - Hadoop Next Generation Compute Platform
YARN - Hadoop Next Generation Compute PlatformYARN - Hadoop Next Generation Compute Platform
YARN - Hadoop Next Generation Compute Platform
 
Hadoop Operations at LinkedIn
Hadoop Operations at LinkedInHadoop Operations at LinkedIn
Hadoop Operations at LinkedIn
 
Hadoop - Past, Present and Future - v1.1
Hadoop - Past, Present and Future - v1.1Hadoop - Past, Present and Future - v1.1
Hadoop - Past, Present and Future - v1.1
 
Hadoop World 2011: The Hadoop Stack - Then, Now and in the Future - Eli Colli...
Hadoop World 2011: The Hadoop Stack - Then, Now and in the Future - Eli Colli...Hadoop World 2011: The Hadoop Stack - Then, Now and in the Future - Eli Colli...
Hadoop World 2011: The Hadoop Stack - Then, Now and in the Future - Eli Colli...
 
Zh tw cloud computing era
Zh tw cloud computing eraZh tw cloud computing era
Zh tw cloud computing era
 
Drill at the Chug 9-19-12
Drill at the Chug 9-19-12Drill at the Chug 9-19-12
Drill at the Chug 9-19-12
 
Hadoop on VMware
Hadoop on VMwareHadoop on VMware
Hadoop on VMware
 
Etu L2 Training - Hadoop 企業應用實作
Etu L2 Training - Hadoop 企業應用實作Etu L2 Training - Hadoop 企業應用實作
Etu L2 Training - Hadoop 企業應用實作
 
Yarns About Yarn
Yarns About YarnYarns About Yarn
Yarns About Yarn
 
Architecting the Future of Big Data & Search - Eric Baldeschwieler
Architecting the Future of Big Data & Search - Eric BaldeschwielerArchitecting the Future of Big Data & Search - Eric Baldeschwieler
Architecting the Future of Big Data & Search - Eric Baldeschwieler
 
Yarn
YarnYarn
Yarn
 
Drill lightning-london-big-data-10-01-2012
Drill lightning-london-big-data-10-01-2012Drill lightning-london-big-data-10-01-2012
Drill lightning-london-big-data-10-01-2012
 
Hadoop configuration & performance tuning
Hadoop configuration & performance tuningHadoop configuration & performance tuning
Hadoop configuration & performance tuning
 

Ähnlich wie エンタープライズ NoSQL/HBase プラットフォーム – MapR M7 エディション - db tech showcase 大阪 2014 2014/06/19

Apache Drill - Why, What, How
Apache Drill - Why, What, HowApache Drill - Why, What, How
Apache Drill - Why, What, Howmcsrivas
 
Migrate Your Hadoop/Spark Workload to Amazon EMR and Architect It for Securit...
Migrate Your Hadoop/Spark Workload to Amazon EMR and Architect It for Securit...Migrate Your Hadoop/Spark Workload to Amazon EMR and Architect It for Securit...
Migrate Your Hadoop/Spark Workload to Amazon EMR and Architect It for Securit...Amazon Web Services
 
Scaling Your Cache And Caching At Scale
Scaling Your Cache And Caching At ScaleScaling Your Cache And Caching At Scale
Scaling Your Cache And Caching At ScaleAlex Miller
 
HBaseCon 2012 | Orchestrating Clusters with Ironfan and Chef - Runa
HBaseCon 2012 | Orchestrating Clusters with Ironfan and Chef - RunaHBaseCon 2012 | Orchestrating Clusters with Ironfan and Chef - Runa
HBaseCon 2012 | Orchestrating Clusters with Ironfan and Chef - RunaCloudera, Inc.
 
Orchestrating HBase Cluster Deployment with Ironfan and Chef
Orchestrating HBase Cluster Deployment with Ironfan and ChefOrchestrating HBase Cluster Deployment with Ironfan and Chef
Orchestrating HBase Cluster Deployment with Ironfan and ChefRobert Berger
 
Networking Israeli Day 2013 - Hecatonchire: Transparent Memory Aggregation
Networking Israeli Day 2013 - Hecatonchire: Transparent Memory AggregationNetworking Israeli Day 2013 - Hecatonchire: Transparent Memory Aggregation
Networking Israeli Day 2013 - Hecatonchire: Transparent Memory Aggregationaidanshribman
 
Quarkus - a shrink ray to your Java Application
Quarkus - a shrink ray to your Java ApplicationQuarkus - a shrink ray to your Java Application
Quarkus - a shrink ray to your Java ApplicationCodeOps Technologies LLP
 
Tricks And Tradeoffs Of Deploying My Sql Clusters In The Cloud
Tricks And Tradeoffs Of Deploying My Sql Clusters In The CloudTricks And Tradeoffs Of Deploying My Sql Clusters In The Cloud
Tricks And Tradeoffs Of Deploying My Sql Clusters In The CloudMySQLConference
 
Server Side JavaScript on the Java Platform - David Delabassee
Server Side JavaScript on the Java Platform - David DelabasseeServer Side JavaScript on the Java Platform - David Delabassee
Server Side JavaScript on the Java Platform - David DelabasseeJAXLondon2014
 
JRuby on Rails Deployment: What They Didn't Tell You
JRuby on Rails Deployment: What They Didn't Tell YouJRuby on Rails Deployment: What They Didn't Tell You
JRuby on Rails Deployment: What They Didn't Tell Youelliando dias
 
IBM Live Case Study: Leveraging Software-Defined Infrastructure Control to De...
IBM Live Case Study: Leveraging Software-Defined Infrastructure Control to De...IBM Live Case Study: Leveraging Software-Defined Infrastructure Control to De...
IBM Live Case Study: Leveraging Software-Defined Infrastructure Control to De...Melissa Luongo
 
Nevmug Left Hand Tower Publishing January 2009
Nevmug  Left Hand  Tower Publishing January 2009Nevmug  Left Hand  Tower Publishing January 2009
Nevmug Left Hand Tower Publishing January 2009csharney
 
AP4R on Developers Summit 2008
AP4R on Developers Summit 2008AP4R on Developers Summit 2008
AP4R on Developers Summit 2008Kato Kiwamu
 
Combine SAS High-Performance Capabilities with Hadoop YARN
Combine SAS High-Performance Capabilities with Hadoop YARNCombine SAS High-Performance Capabilities with Hadoop YARN
Combine SAS High-Performance Capabilities with Hadoop YARNHortonworks
 
14h00 aws deck-summit2012_sap_on_aws_s_jones_final
14h00   aws deck-summit2012_sap_on_aws_s_jones_final14h00   aws deck-summit2012_sap_on_aws_s_jones_final
14h00 aws deck-summit2012_sap_on_aws_s_jones_finalLuiz Gustavo Santos
 

Ähnlich wie エンタープライズ NoSQL/HBase プラットフォーム – MapR M7 エディション - db tech showcase 大阪 2014 2014/06/19 (20)

Apache Drill - Why, What, How
Apache Drill - Why, What, HowApache Drill - Why, What, How
Apache Drill - Why, What, How
 
XS Japan 2008 Services English
XS Japan 2008 Services EnglishXS Japan 2008 Services English
XS Japan 2008 Services English
 
Migrate Your Hadoop/Spark Workload to Amazon EMR and Architect It for Securit...
Migrate Your Hadoop/Spark Workload to Amazon EMR and Architect It for Securit...Migrate Your Hadoop/Spark Workload to Amazon EMR and Architect It for Securit...
Migrate Your Hadoop/Spark Workload to Amazon EMR and Architect It for Securit...
 
Scaling Your Cache And Caching At Scale
Scaling Your Cache And Caching At ScaleScaling Your Cache And Caching At Scale
Scaling Your Cache And Caching At Scale
 
Bcp seminar 0713_handsout
Bcp seminar 0713_handsoutBcp seminar 0713_handsout
Bcp seminar 0713_handsout
 
iForum 1004_handsout
iForum 1004_handsoutiForum 1004_handsout
iForum 1004_handsout
 
HBaseCon 2012 | Orchestrating Clusters with Ironfan and Chef - Runa
HBaseCon 2012 | Orchestrating Clusters with Ironfan and Chef - RunaHBaseCon 2012 | Orchestrating Clusters with Ironfan and Chef - Runa
HBaseCon 2012 | Orchestrating Clusters with Ironfan and Chef - Runa
 
Orchestrating HBase Cluster Deployment with Ironfan and Chef
Orchestrating HBase Cluster Deployment with Ironfan and ChefOrchestrating HBase Cluster Deployment with Ironfan and Chef
Orchestrating HBase Cluster Deployment with Ironfan and Chef
 
Networking Israeli Day 2013 - Hecatonchire: Transparent Memory Aggregation
Networking Israeli Day 2013 - Hecatonchire: Transparent Memory AggregationNetworking Israeli Day 2013 - Hecatonchire: Transparent Memory Aggregation
Networking Israeli Day 2013 - Hecatonchire: Transparent Memory Aggregation
 
Quarkus - a shrink ray to your Java Application
Quarkus - a shrink ray to your Java ApplicationQuarkus - a shrink ray to your Java Application
Quarkus - a shrink ray to your Java Application
 
Tricks And Tradeoffs Of Deploying My Sql Clusters In The Cloud
Tricks And Tradeoffs Of Deploying My Sql Clusters In The CloudTricks And Tradeoffs Of Deploying My Sql Clusters In The Cloud
Tricks And Tradeoffs Of Deploying My Sql Clusters In The Cloud
 
Server Side JavaScript on the Java Platform - David Delabassee
Server Side JavaScript on the Java Platform - David DelabasseeServer Side JavaScript on the Java Platform - David Delabassee
Server Side JavaScript on the Java Platform - David Delabassee
 
Big data summit
Big data summitBig data summit
Big data summit
 
JRuby on Rails Deployment: What They Didn't Tell You
JRuby on Rails Deployment: What They Didn't Tell YouJRuby on Rails Deployment: What They Didn't Tell You
JRuby on Rails Deployment: What They Didn't Tell You
 
SAP on AWS
SAP on AWSSAP on AWS
SAP on AWS
 
IBM Live Case Study: Leveraging Software-Defined Infrastructure Control to De...
IBM Live Case Study: Leveraging Software-Defined Infrastructure Control to De...IBM Live Case Study: Leveraging Software-Defined Infrastructure Control to De...
IBM Live Case Study: Leveraging Software-Defined Infrastructure Control to De...
 
Nevmug Left Hand Tower Publishing January 2009
Nevmug  Left Hand  Tower Publishing January 2009Nevmug  Left Hand  Tower Publishing January 2009
Nevmug Left Hand Tower Publishing January 2009
 
AP4R on Developers Summit 2008
AP4R on Developers Summit 2008AP4R on Developers Summit 2008
AP4R on Developers Summit 2008
 
Combine SAS High-Performance Capabilities with Hadoop YARN
Combine SAS High-Performance Capabilities with Hadoop YARNCombine SAS High-Performance Capabilities with Hadoop YARN
Combine SAS High-Performance Capabilities with Hadoop YARN
 
14h00 aws deck-summit2012_sap_on_aws_s_jones_final
14h00   aws deck-summit2012_sap_on_aws_s_jones_final14h00   aws deck-summit2012_sap_on_aws_s_jones_final
14h00 aws deck-summit2012_sap_on_aws_s_jones_final
 

Mehr von MapR Technologies Japan

Fast Data を扱うためのデザインパターン
Fast Data を扱うためのデザインパターンFast Data を扱うためのデザインパターン
Fast Data を扱うためのデザインパターンMapR Technologies Japan
 
MapR 5.2: MapR コンバージド・コミュニティ・エディションを使いこなす
MapR 5.2: MapR コンバージド・コミュニティ・エディションを使いこなすMapR 5.2: MapR コンバージド・コミュニティ・エディションを使いこなす
MapR 5.2: MapR コンバージド・コミュニティ・エディションを使いこなすMapR Technologies Japan
 
スケールアウト・インメモリ分析の標準フォーマットを目指す Apache Arrow と Value Vectors - Tokyo Apache Dril...
スケールアウト・インメモリ分析の標準フォーマットを目指す Apache Arrow と Value Vectors - Tokyo Apache Dril...スケールアウト・インメモリ分析の標準フォーマットを目指す Apache Arrow と Value Vectors - Tokyo Apache Dril...
スケールアウト・インメモリ分析の標準フォーマットを目指す Apache Arrow と Value Vectors - Tokyo Apache Dril...MapR Technologies Japan
 
ストリーミングアーキテクチャ: State から Flow へ - 2016/02/08 Hadoop / Spark Conference Japan ...
ストリーミングアーキテクチャ: State から Flow へ - 2016/02/08 Hadoop / Spark Conference Japan ...ストリーミングアーキテクチャ: State から Flow へ - 2016/02/08 Hadoop / Spark Conference Japan ...
ストリーミングアーキテクチャ: State から Flow へ - 2016/02/08 Hadoop / Spark Conference Japan ...MapR Technologies Japan
 
MapR Streams & MapR コンバージド・データ・プラットフォーム
MapR Streams & MapR コンバージド・データ・プラットフォームMapR Streams & MapR コンバージド・データ・プラットフォーム
MapR Streams & MapR コンバージド・データ・プラットフォームMapR Technologies Japan
 
Spark Streaming の基本とスケールする時系列データ処理 - Spark Meetup December 2015/12/09
Spark Streaming の基本とスケールする時系列データ処理 - Spark Meetup December 2015/12/09Spark Streaming の基本とスケールする時系列データ処理 - Spark Meetup December 2015/12/09
Spark Streaming の基本とスケールする時系列データ処理 - Spark Meetup December 2015/12/09MapR Technologies Japan
 
Apache Drill で日本語を扱ってみよう + オープンデータ解析
Apache Drill で日本語を扱ってみよう + オープンデータ解析Apache Drill で日本語を扱ってみよう + オープンデータ解析
Apache Drill で日本語を扱ってみよう + オープンデータ解析MapR Technologies Japan
 
Drilling into Data with Apache Drill - Tokyo Apache Drill Meetup 2015/11/12
Drilling into Data with Apache Drill - Tokyo Apache Drill Meetup 2015/11/12Drilling into Data with Apache Drill - Tokyo Apache Drill Meetup 2015/11/12
Drilling into Data with Apache Drill - Tokyo Apache Drill Meetup 2015/11/12MapR Technologies Japan
 
HBase と Drill - 緩い型付けの SQL がいかに NoSQL に適しているか
HBase と Drill - 緩い型付けの SQL がいかに NoSQL に適しているかHBase と Drill - 緩い型付けの SQL がいかに NoSQL に適しているか
HBase と Drill - 緩い型付けの SQL がいかに NoSQL に適しているかMapR Technologies Japan
 
Apache Drill でオープンデータを分析してみる - db tech showcase Sapporo 2015 2015/09/11
Apache Drill でオープンデータを分析してみる - db tech showcase Sapporo 2015 2015/09/11Apache Drill でオープンデータを分析してみる - db tech showcase Sapporo 2015 2015/09/11
Apache Drill でオープンデータを分析してみる - db tech showcase Sapporo 2015 2015/09/11MapR Technologies Japan
 
Apache Drill Overview - Tokyo Apache Drill Meetup 2015/09/15
Apache Drill Overview - Tokyo Apache Drill Meetup 2015/09/15Apache Drill Overview - Tokyo Apache Drill Meetup 2015/09/15
Apache Drill Overview - Tokyo Apache Drill Meetup 2015/09/15MapR Technologies Japan
 
事例から見るNoSQLの使い方 - db tech showcase Tokyo 2015 2015/06/11
事例から見るNoSQLの使い方 - db tech showcase Tokyo 2015 2015/06/11事例から見るNoSQLの使い方 - db tech showcase Tokyo 2015 2015/06/11
事例から見るNoSQLの使い方 - db tech showcase Tokyo 2015 2015/06/11MapR Technologies Japan
 
Apache Drill で JSON 形式の オープンデータを分析してみる - db tech showcase Tokyo 2015 2015/06/11
Apache Drill で JSON 形式の オープンデータを分析してみる - db tech showcase Tokyo 2015 2015/06/11Apache Drill で JSON 形式の オープンデータを分析してみる - db tech showcase Tokyo 2015 2015/06/11
Apache Drill で JSON 形式の オープンデータを分析してみる - db tech showcase Tokyo 2015 2015/06/11MapR Technologies Japan
 
異常検知 - 何を探すかよく分かっていないものを見つける方法
異常検知 - 何を探すかよく分かっていないものを見つける方法異常検知 - 何を探すかよく分かっていないものを見つける方法
異常検知 - 何を探すかよく分かっていないものを見つける方法MapR Technologies Japan
 
逆らえない大きな流れ: 次世代のエンタープライズアーキテクチャ
逆らえない大きな流れ: 次世代のエンタープライズアーキテクチャ逆らえない大きな流れ: 次世代のエンタープライズアーキテクチャ
逆らえない大きな流れ: 次世代のエンタープライズアーキテクチャMapR Technologies Japan
 
Apache Drill を利用した実データの分析
Apache Drill を利用した実データの分析Apache Drill を利用した実データの分析
Apache Drill を利用した実データの分析MapR Technologies Japan
 
Apache Drill でたしなむ セルフサービスデータ探索 - 2014/11/06 Cloudera World Tokyo 2014 LTセッション
Apache Drill でたしなむ セルフサービスデータ探索 - 2014/11/06 Cloudera World Tokyo 2014 LTセッションApache Drill でたしなむ セルフサービスデータ探索 - 2014/11/06 Cloudera World Tokyo 2014 LTセッション
Apache Drill でたしなむ セルフサービスデータ探索 - 2014/11/06 Cloudera World Tokyo 2014 LTセッションMapR Technologies Japan
 

Mehr von MapR Technologies Japan (20)

Fast Data を扱うためのデザインパターン
Fast Data を扱うためのデザインパターンFast Data を扱うためのデザインパターン
Fast Data を扱うためのデザインパターン
 
MapR 5.2: MapR コンバージド・コミュニティ・エディションを使いこなす
MapR 5.2: MapR コンバージド・コミュニティ・エディションを使いこなすMapR 5.2: MapR コンバージド・コミュニティ・エディションを使いこなす
MapR 5.2: MapR コンバージド・コミュニティ・エディションを使いこなす
 
Drill超簡単チューニング
Drill超簡単チューニングDrill超簡単チューニング
Drill超簡単チューニング
 
スケールアウト・インメモリ分析の標準フォーマットを目指す Apache Arrow と Value Vectors - Tokyo Apache Dril...
スケールアウト・インメモリ分析の標準フォーマットを目指す Apache Arrow と Value Vectors - Tokyo Apache Dril...スケールアウト・インメモリ分析の標準フォーマットを目指す Apache Arrow と Value Vectors - Tokyo Apache Dril...
スケールアウト・インメモリ分析の標準フォーマットを目指す Apache Arrow と Value Vectors - Tokyo Apache Dril...
 
ストリーミングアーキテクチャ: State から Flow へ - 2016/02/08 Hadoop / Spark Conference Japan ...
ストリーミングアーキテクチャ: State から Flow へ - 2016/02/08 Hadoop / Spark Conference Japan ...ストリーミングアーキテクチャ: State から Flow へ - 2016/02/08 Hadoop / Spark Conference Japan ...
ストリーミングアーキテクチャ: State から Flow へ - 2016/02/08 Hadoop / Spark Conference Japan ...
 
MapR Streams & MapR コンバージド・データ・プラットフォーム
MapR Streams & MapR コンバージド・データ・プラットフォームMapR Streams & MapR コンバージド・データ・プラットフォーム
MapR Streams & MapR コンバージド・データ・プラットフォーム
 
Spark Streaming の基本とスケールする時系列データ処理 - Spark Meetup December 2015/12/09
Spark Streaming の基本とスケールする時系列データ処理 - Spark Meetup December 2015/12/09Spark Streaming の基本とスケールする時系列データ処理 - Spark Meetup December 2015/12/09
Spark Streaming の基本とスケールする時系列データ処理 - Spark Meetup December 2015/12/09
 
Apache Drill で日本語を扱ってみよう + オープンデータ解析
Apache Drill で日本語を扱ってみよう + オープンデータ解析Apache Drill で日本語を扱ってみよう + オープンデータ解析
Apache Drill で日本語を扱ってみよう + オープンデータ解析
 
Drilling into Data with Apache Drill - Tokyo Apache Drill Meetup 2015/11/12
Drilling into Data with Apache Drill - Tokyo Apache Drill Meetup 2015/11/12Drilling into Data with Apache Drill - Tokyo Apache Drill Meetup 2015/11/12
Drilling into Data with Apache Drill - Tokyo Apache Drill Meetup 2015/11/12
 
HBase と Drill - 緩い型付けの SQL がいかに NoSQL に適しているか
HBase と Drill - 緩い型付けの SQL がいかに NoSQL に適しているかHBase と Drill - 緩い型付けの SQL がいかに NoSQL に適しているか
HBase と Drill - 緩い型付けの SQL がいかに NoSQL に適しているか
 
Apache Drill でオープンデータを分析してみる - db tech showcase Sapporo 2015 2015/09/11
Apache Drill でオープンデータを分析してみる - db tech showcase Sapporo 2015 2015/09/11Apache Drill でオープンデータを分析してみる - db tech showcase Sapporo 2015 2015/09/11
Apache Drill でオープンデータを分析してみる - db tech showcase Sapporo 2015 2015/09/11
 
Apache Drill Overview - Tokyo Apache Drill Meetup 2015/09/15
Apache Drill Overview - Tokyo Apache Drill Meetup 2015/09/15Apache Drill Overview - Tokyo Apache Drill Meetup 2015/09/15
Apache Drill Overview - Tokyo Apache Drill Meetup 2015/09/15
 
Hadoop によるゲノム解読
Hadoop によるゲノム解読Hadoop によるゲノム解読
Hadoop によるゲノム解読
 
事例から見るNoSQLの使い方 - db tech showcase Tokyo 2015 2015/06/11
事例から見るNoSQLの使い方 - db tech showcase Tokyo 2015 2015/06/11事例から見るNoSQLの使い方 - db tech showcase Tokyo 2015 2015/06/11
事例から見るNoSQLの使い方 - db tech showcase Tokyo 2015 2015/06/11
 
Apache Drill で JSON 形式の オープンデータを分析してみる - db tech showcase Tokyo 2015 2015/06/11
Apache Drill で JSON 形式の オープンデータを分析してみる - db tech showcase Tokyo 2015 2015/06/11Apache Drill で JSON 形式の オープンデータを分析してみる - db tech showcase Tokyo 2015 2015/06/11
Apache Drill で JSON 形式の オープンデータを分析してみる - db tech showcase Tokyo 2015 2015/06/11
 
異常検知 - 何を探すかよく分かっていないものを見つける方法
異常検知 - 何を探すかよく分かっていないものを見つける方法異常検知 - 何を探すかよく分かっていないものを見つける方法
異常検知 - 何を探すかよく分かっていないものを見つける方法
 
時系列の世界の時系列データ
時系列の世界の時系列データ時系列の世界の時系列データ
時系列の世界の時系列データ
 
逆らえない大きな流れ: 次世代のエンタープライズアーキテクチャ
逆らえない大きな流れ: 次世代のエンタープライズアーキテクチャ逆らえない大きな流れ: 次世代のエンタープライズアーキテクチャ
逆らえない大きな流れ: 次世代のエンタープライズアーキテクチャ
 
Apache Drill を利用した実データの分析
Apache Drill を利用した実データの分析Apache Drill を利用した実データの分析
Apache Drill を利用した実データの分析
 
Apache Drill でたしなむ セルフサービスデータ探索 - 2014/11/06 Cloudera World Tokyo 2014 LTセッション
Apache Drill でたしなむ セルフサービスデータ探索 - 2014/11/06 Cloudera World Tokyo 2014 LTセッションApache Drill でたしなむ セルフサービスデータ探索 - 2014/11/06 Cloudera World Tokyo 2014 LTセッション
Apache Drill でたしなむ セルフサービスデータ探索 - 2014/11/06 Cloudera World Tokyo 2014 LTセッション
 

Kürzlich hochgeladen

Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024The Digital Insurer
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxKatpro Technologies
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdfhans926745
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?Igalia
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024Results
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUK Journal
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsJoaquim Jorge
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityPrincipled Technologies
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)wesley chun
 
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...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
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CVKhem
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024The Digital Insurer
 

Kürzlich hochgeladen (20)

Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
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...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...
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 

エンタープライズ NoSQL/HBase プラットフォーム – MapR M7 エディション - db tech showcase 大阪 2014 2014/06/19