How to Connect MySQL using python 3.6.5 – Solved

inhousetrainer.net : Finally Solved , how to connect MySQL using python 3.6.5 , Atau berikut adalah solusi terbaik mengenai cara terkoneksi ke MySQL menggunakan python 3.6.5.

Python adalah bahasa pemrograman interpretatif multiguna dengan filosofi perancangan yang berfokus pada tingkat keterbacaan kode. Python diklaim sebagai bahasa yang menggabungkan kapabilitas, kemampuan, dengan sintaksis kode yang sangat jelas, dan dilengkapi dengan fungsionalitas pustaka standar yang besar serta komprehensif. Python juga didukung oleh komunitas yang besar.

Python mendukung multi paradigma pemrograman, utamanya; namun tidak dibatasi; pada pemrograman berorientasi objek, pemrograman imperatif, dan pemrograman fungsional. Salah satu fitur yang tersedia pada python adalah sebagai bahasa pemrograman dinamis yang dilengkapi dengan manajemen memori otomatis. Seperti halnya pada bahasa pemrograman dinamis lainnya, python umumnya digunakan sebagai bahasa skrip meski pada praktiknya penggunaan bahasa ini lebih luas mencakup konteks pemanfaatan yang umumnya tidak dilakukan dengan menggunakan bahasa skrip. Python dapat digunakan untuk berbagai keperluan pengembangan perangkat lunak dan dapat berjalan di berbagai platform sistem operasi.

Bagi Anda yang saat ini sedang mulai mempelajari python untuk membuat aplikasi python Anda terhubung ke database tentunya pertanyaan besar muncul yaitu bagaimana bisa membuat koneksi ke database MySQL yang populer digunakan oleh banyak Application Developer.

Caranya sangat mudah untuk mengkoneksikan python 3.6.3 ke database mysql, silahkan ikuti tahapan berikut ini.

  1. Download dan install python 3.6.5 dari sumber-nya (Install di lokasi yang mudah contoh c:\python365 )
  2. Download dan install pycharm sebagai editornya
  3. Buat project baru di pycharm di lokasi yang anda inginkan sontoh d:\pythonmysql, pastikan menggunakan pilihan Virtual Environment dengan interpreter python 3.6.5
  4. Lakukan upgrade setuptools melalui pycharm dengan cara masuk menu File –> Setting –>Project {nama project anda} – Project Interpreter –> Tekan (+) di sebelah kanan  –> cari setuptools 
  5. pip tidak perlu diupgrade, biarkan saja versi 9.0 sesuai bawaan python 3.6.5
  6. Lakukan install package module mysqlclient , melalui menu dan cara yang sama seperti upgrade setuptools
  7. Siapkan database mysql Anda, sebagai contoh saya memiliki database dengan informasi berikut :
    – host = localhost
    – user = root
    – password = ”
    – database = dbcoba
    – table = tbpegawai(id,nama,kota)
  8. Setelah complete persiapan anda diatas terutama mysqlclient dan databasenya , buat file python contoh koneksimysql.py ketikkan code berikut ini , perhatikan indentasinya karena python memberlakukan aturan terkait indentasi nya

import MySQLdb

hostname = "localhost"username = "root"password = ""database = "dbcoba"
def doQuery(conn) :
    cur = conn.cursor()
    cur.execute("SELECT * FROM tbpegawai")
    for id, nama, kota in cur.fetchall() :
        print (id, nama, kota)


myConnection = MySQLdb.connect(host=hostname,user=username,passwd=password,db=database)
doQuery(myConnection)
myConnection.close()
Terakhir coba jalankan filenya melalui terminal pycharm atau command prompt window anda tadi ,d:\pythonmysql>koneksimysql.py

Demikian dan semoga membantu.
Ditulis oleh
Hery Purnama
Python Freelance Trainer
081-223344-506

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How to Connect MySQL using python 3.6.5 – Solved
Mr. Hery Purnama – Trainer – 081223344506

Training Python di Jakarta

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Deliver Training Python Programming Fundamental, terima kasih kepada peserta training dari PT. EDI INDONESIA dan Purnama Academy Training Provider Jakarta atas undangan mengajar Python Programming Fundamental, semoga bermanfaat.
Apakah Bahasa Pemograman Python ?. 
Python adalah bahasa pemrograman interpretatif multiguna dengan filosofi perancangan yang berfokus pada tingkat keterbacaan kode.Python diklaim sebagai bahasa yang menggabungkan kapabilitas, kemampuan, dengan sintaksis kode yang sangat jelas, dan dilengkapi dengan fungsionalitas pustaka standar yang besar serta komprehensif. Python juga didukung oleh komunitas yang besar.
Python hadir pada tahun 1991 awalnya python tidak terlalu dilirik oleh programer aplikasi karena saat itu python masih dianggap fokus pada pemanfaatannya sebagai bahasa mesin namun seiring waktu python mulai berevolusi dengan disertai berkembangnya komunitas developer yang terus aktif mengembangkan modul modul yang mampu mengintegrasikan python untuk berbagai macam kebutuhan seperti networking programming,mobile programming, web programming. Ditambah lagi dengan munculnya berbagai macam framework yg dibuat menggunakan platform bahasa python.
Untuk mengikuti pelatihan komprehensif terkait python perusahaan Anda bisa mengundang trainer berpengalaman di bidang pemograman python Hery Purnama 081-223344-506. Silahkan hubungi no kontak tercantum di bawah
Regards,

HERY PURNAMA
Certified Trainer

www.inhousetrainer.net
Phone/Whatsapp 081-223344-506
hery@purnama.info , hery.purnama@gmail.com,
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Training Hadoop Developer with Apache Spark di Bandung

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Weekend Class Training Hadoop Developer with Apache Spark diselenggarakan di Native Enterprise Bandung dan diikuti oleh peserta dari Bekasi. Terima kasih atas undangan mengajar dan semoga bermanfaat.

Regards,

HERY PURNAMA
Hadoop Apache Spark Trainer

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Phone/Whatsapp 081-223344-506
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Training Web Application Dev. With PHP ajax JQuery di Bandung

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Terima kasih kepada Native Enterprise Training Center Bandung atas undangan mengajar training PHP ajax jquery  dengan peserta dari Dinas Dukcapil tangerang. Semoga bermanfaat

Regards,

HERY PURNAMA

PHP ajax Jquery Trainer

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Phone/Whatsapp 081-223344-506
hery@purnama.info , hery.purnama@gmail.com,
inhousetrainer@yahoo.com
   

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Training Web Application Dev. With PHP ajax JQuery di Bandung
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Training ITIL V3 2011 dan COBIT 5 di Surabaya

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ITIL atau IT infrastructure Library adalah framework yang digunakan organisasi IT untuk memenuhi salah satu perannya sebagai penyedia dan pengelola layanan teknologi informasi ITSM sedangkan COBIT atau Control Objective of Information Technology adalah framework yang mengatur bagaimana menyusun Tata Kelola IT didalam ruang lingkup organisasi dengan cakupan yang luas dan komprehensif. 
Kegiatan Training ITIL dan COBIT berlangsung di EBIZ training Center Surabaya dan dihadiri oleh peserta dari perusahaan. Terima kasih atas undangan mengajar dan semoga bermanfaat.

Regards,

HERY PURNAMA
ITIL and COBIT Certified Trainer

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Phone/Whatsapp 081-223344-506
hery@purnama.info , hery.purnama@gmail.com,
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HADOOP INSTALATION ON WINDOWS 7

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Hadoop 2.x.x INstalation on windows

Build and Install Hadoop 2.x or newer on Windows

1. Introduction

Hadoop version 2.2 onwards includes native support for Windows. The official Apache Hadoop releases do not include Windows binaries (yet, as of January 2014). However building a Windows package from the sources is fairly straightforward.
Hadoop is a complex system with many components. Some familiarity at a high level is helpful before attempting to build or install it or the first time. Familiarity with Java is necessary in case you need to troubleshoot.

2. Building Hadoop Core for Windows

2.1. Choose target OS version

The Hadoop developers have used Windows Server 2008 and Windows Server 2008 R2 during development and testing. Windows Vista and Windows 7 are also likely to work because of the Win32 API similarities with the respective server SKUs. We have not tested on Windows XP or any earlier versions of Windows and these are not likely to work. Any issues reported on Windows XP or earlier will be closed as Invalid.
Do not attempt to run the installation from within Cygwin. Cygwin is neither required nor supported.

2.2. Choose Java Version and set JAVA_HOME

Oracle JDK versions 1.7 and 1.6 have been tested by the Hadoop developers and are known to work.
Make sure that JAVA_HOME is set in your environment and does not contain any spaces. If your default Java installation directory has spaces then you must use the Windows 8.3 Pathname instead e.g. c:\Progra~1\Java\… instead of c:\Program Files\Java\….

2.3. Getting Hadoop sources

The current stable release as of August 2014 is 2.5. The source distribution can be retrieved from the ASF download server or using subversion or git.

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HADOOP INSTALATION ON WINDOWS 7
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HADOOP INSTALATION ON WINDOWS 7

inhousetrainer.net :

Hadoop 2.x.x INstalation on windows

Build and Install Hadoop 2.x or newer on Windows

1. Introduction

Hadoop version 2.2 onwards includes native support for Windows. The official Apache Hadoop releases do not include Windows binaries (yet, as of January 2014). However building a Windows package from the sources is fairly straightforward.
Hadoop is a complex system with many components. Some familiarity at a high level is helpful before attempting to build or install it or the first time. Familiarity with Java is necessary in case you need to troubleshoot.

2. Building Hadoop Core for Windows

2.1. Choose target OS version

The Hadoop developers have used Windows Server 2008 and Windows Server 2008 R2 during development and testing. Windows Vista and Windows 7 are also likely to work because of the Win32 API similarities with the respective server SKUs. We have not tested on Windows XP or any earlier versions of Windows and these are not likely to work. Any issues reported on Windows XP or earlier will be closed as Invalid.
Do not attempt to run the installation from within Cygwin. Cygwin is neither required nor supported.

2.2. Choose Java Version and set JAVA_HOME

Oracle JDK versions 1.7 and 1.6 have been tested by the Hadoop developers and are known to work.
Make sure that JAVA_HOME is set in your environment and does not contain any spaces. If your default Java installation directory has spaces then you must use the Windows 8.3 Pathname instead e.g. c:\Progra~1\Java\… instead of c:\Program Files\Java\….

2.3. Getting Hadoop sources

The current stable release as of August 2014 is 2.5. The source distribution can be retrieved from the ASF download server or using subversion or git.

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HADOOP INSTALATION ON WINDOWS 7
Mr. Hery Purnama – Trainer – 081223344506

HADOOP INSTALATION ON WINDOWS 7

inhousetrainer.net :

Hadoop 2.x.x INstalation on windows

Build and Install Hadoop 2.x or newer on Windows

1. Introduction

Hadoop version 2.2 onwards includes native support for Windows. The official Apache Hadoop releases do not include Windows binaries (yet, as of January 2014). However building a Windows package from the sources is fairly straightforward.
Hadoop is a complex system with many components. Some familiarity at a high level is helpful before attempting to build or install it or the first time. Familiarity with Java is necessary in case you need to troubleshoot.

2. Building Hadoop Core for Windows

2.1. Choose target OS version

The Hadoop developers have used Windows Server 2008 and Windows Server 2008 R2 during development and testing. Windows Vista and Windows 7 are also likely to work because of the Win32 API similarities with the respective server SKUs. We have not tested on Windows XP or any earlier versions of Windows and these are not likely to work. Any issues reported on Windows XP or earlier will be closed as Invalid.
Do not attempt to run the installation from within Cygwin. Cygwin is neither required nor supported.

2.2. Choose Java Version and set JAVA_HOME

Oracle JDK versions 1.7 and 1.6 have been tested by the Hadoop developers and are known to work.
Make sure that JAVA_HOME is set in your environment and does not contain any spaces. If your default Java installation directory has spaces then you must use the Windows 8.3 Pathname instead e.g. c:\Progra~1\Java\… instead of c:\Program Files\Java\….

2.3. Getting Hadoop sources

The current stable release as of August 2014 is 2.5. The source distribution can be retrieved from the ASF download server or using subversion or git.

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HADOOP INSTALATION ON WINDOWS 7
Mr. Hery Purnama – Trainer – 081223344506

HADOOP INSTALATION ON WINDOWS 7

inhousetrainer.net :

Hadoop 2.x.x INstalation on windows

Build and Install Hadoop 2.x or newer on Windows

1. Introduction

Hadoop version 2.2 onwards includes native support for Windows. The official Apache Hadoop releases do not include Windows binaries (yet, as of January 2014). However building a Windows package from the sources is fairly straightforward.
Hadoop is a complex system with many components. Some familiarity at a high level is helpful before attempting to build or install it or the first time. Familiarity with Java is necessary in case you need to troubleshoot.

2. Building Hadoop Core for Windows

2.1. Choose target OS version

The Hadoop developers have used Windows Server 2008 and Windows Server 2008 R2 during development and testing. Windows Vista and Windows 7 are also likely to work because of the Win32 API similarities with the respective server SKUs. We have not tested on Windows XP or any earlier versions of Windows and these are not likely to work. Any issues reported on Windows XP or earlier will be closed as Invalid.
Do not attempt to run the installation from within Cygwin. Cygwin is neither required nor supported.

2.2. Choose Java Version and set JAVA_HOME

Oracle JDK versions 1.7 and 1.6 have been tested by the Hadoop developers and are known to work.
Make sure that JAVA_HOME is set in your environment and does not contain any spaces. If your default Java installation directory has spaces then you must use the Windows 8.3 Pathname instead e.g. c:\Progra~1\Java\… instead of c:\Program Files\Java\….

2.3. Getting Hadoop sources

The current stable release as of August 2014 is 2.5. The source distribution can be retrieved from the ASF download server or using subversion or git.


More detail please access : https://ift.tt/2I1ntLP

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HADOOP INSTALATION ON WINDOWS 7
Mr. Hery Purnama – Trainer – 081223344506

HADOOP INSTALATION ON WINDOWS 7

inhousetrainer.net :

Hadoop 2.x.x INstalation on windows

Build and Install Hadoop 2.x or newer on Windows

1. Introduction

Hadoop version 2.2 onwards includes native support for Windows. The official Apache Hadoop releases do not include Windows binaries (yet, as of January 2014). However building a Windows package from the sources is fairly straightforward.

Hadoop is a complex system with many components. Some familiarity at a high level is helpful before attempting to build or install it or the first time. Familiarity with Java is necessary in case you need to troubleshoot.


2. Building Hadoop Core for Windows

2.1. Choose target OS version

The Hadoop developers have used Windows Server 2008 and Windows Server 2008 R2 during development and testing. Windows Vista and Windows 7 are also likely to work because of the Win32 API similarities with the respective server SKUs. We have not tested on Windows XP or any earlier versions of Windows and these are not likely to work. Any issues reported on Windows XP or earlier will be closed as Invalid.

Do not attempt to run the installation from within Cygwin. Cygwin is neither required nor supported.

2.2. Choose Java Version and set JAVA_HOME

Oracle JDK versions 1.7 and 1.6 have been tested by the Hadoop developers and are known to work.

Make sure that JAVA_HOME is set in your environment and does not contain any spaces. If your default Java installation directory has spaces then you must use the Windows 8.3 Pathname instead e.g. c:\Progra~1\Java\… instead of c:\Program Files\Java\….

2.3. Getting Hadoop sources

The current stable release as of August 2014 is 2.5. The source distribution can be retrieved from the ASF download server or using subversion or git.

2.4. Installing Dependencies and Setting up Environment for Building

The BUILDING.txt file in the root of the source tree has detailed information on the list of requirements and how to install them. It also includes information on setting up the environment and a few quirks that are specific to Windows. It is strongly recommended that you read and understand it before proceeding.

2.5. A few words on Native IO support

Hadoop on Linux includes optional Native IO support. However Native IO is mandatory on Windows and without it you will not be able to get your installation working. You must follow all the instructions from BUILDING.txt to ensure that Native IO support is built correctly.

2.6. Build and Copy the Package files

To build a binary distribution run the following command from the root of the source tree.

mvn package -Pdist,native-win -DskipTests -Dtar

Note that this command must be run from a Windows SDK command prompt as documented in BUILDING.txt. A successful build generates a binary hadoop .tar.gz package in hadoop-dist\target\.

The Hadoop version is present in the package file name. If you are targeting a different version then the package name will be different.

2.7. Installation

Pick a target directory for installing the package. We use c:\deploy as an example. Extract the tar.gz file (e.g.hadoop-2.5.0.tar.gz) under c:\deploy. This will yield a directory structure like the following. If installing a multi-node cluster, then repeat this step on every node.

C:\deploy>dir   Volume in drive C has no label.   Volume Serial Number is 9D1F-7BAC     Directory of C:\deploy    01/18/2014  08:11 AM    <DIR>          .  01/18/2014  08:11 AM    <DIR>          ..  01/18/2014  08:28 AM    <DIR>          bin  01/18/2014  08:28 AM    <DIR>          etc  01/18/2014  08:28 AM    <DIR>          include  01/18/2014  08:28 AM    <DIR>          libexec  01/18/2014  08:28 AM    <DIR>          sbin  01/18/2014  08:28 AM    <DIR>          share                 0 File(s)              0 bytes


3. Starting a Single Node (pseudo-distributed) Cluster

This section describes the absolute minimum configuration required to start a Single Node (pseudo-distributed) cluster and also run an example MapReduce job.

3.1. Example HDFS Configuration

Before you can start the Hadoop Daemons you will need to make a few edits to configuration files. The configuration file templates will all be found in c:\deploy\etc\hadoop, assuming your installation directory is c:\deploy.

First edit the file hadoop-env.cmd to add the following lines near the end of the file.

set HADOOP_PREFIX=c:\deploy  set HADOOP_CONF_DIR=%HADOOP_PREFIX%\etc\hadoop  set YARN_CONF_DIR=%HADOOP_CONF_DIR%  set PATH=%PATH%;%HADOOP_PREFIX%\bin

Edit or create the file core-site.xml and make sure it has the following configuration key:

<configuration>    <property>      <name>fs.default.name</name>      <value>hdfs://0.0.0.0:19000</value>    </property>  </configuration>

Edit or create the file hdfs-site.xml and add the following configuration key:

<configuration>    <property>      <name>dfs.replication</name>      <value>1</value>    </property>  </configuration>

Finally, edit or create the file slaves and make sure it has the following entry:

localhost

The default configuration puts the HDFS metadata and data files under \tmp on the current drive. In the above example this would be c:\tmp. For your first test setup you can just leave it at the default.

3.2. Example YARN Configuration

Edit or create mapred-site.xml under %HADOOP_PREFIX%\etc\hadoop and add the following entries, replacing %USERNAME% with your Windows user name.

<configuration>       <property>       <name>mapreduce.job.user.name</name>       <value>%USERNAME%</value>     </property>       <property>       <name>mapreduce.framework.name</name>       <value>yarn</value>     </property>      <property>      <name>yarn.apps.stagingDir</name>      <value>/user/%USERNAME%/staging</value>    </property>      <property>      <name>mapreduce.jobtracker.address</name>      <value>local</value>    </property>    </configuration>

Finally, edit or create yarn-site.xml and add the following entries:

<configuration>    <property>      <name>yarn.server.resourcemanager.address</name>      <value>0.0.0.0:8020</value>    </property>      <property>      <name>yarn.server.resourcemanager.application.expiry.interval</name>      <value>60000</value>    </property>      <property>      <name>yarn.server.nodemanager.address</name>      <value>0.0.0.0:45454</value>    </property>      <property>      <name>yarn.nodemanager.aux-services</name>      <value>mapreduce_shuffle</value>    </property>      <property>      <name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name>      <value>org.apache.hadoop.mapred.ShuffleHandler</value>    </property>      <property>      <name>yarn.server.nodemanager.remote-app-log-dir</name>      <value>/app-logs</value>    </property>      <property>      <name>yarn.nodemanager.log-dirs</name>      <value>/dep/logs/userlogs</value>    </property>      <property>      <name>yarn.server.mapreduce-appmanager.attempt-listener.bindAddress</name>      <value>0.0.0.0</value>    </property>      <property>      <name>yarn.server.mapreduce-appmanager.client-service.bindAddress</name>      <value>0.0.0.0</value>    </property>      <property>      <name>yarn.log-aggregation-enable</name>      <value>true</value>    </property>      <property>      <name>yarn.log-aggregation.retain-seconds</name>      <value>-1</value>    </property>      <property>      <name>yarn.application.classpath</name>      <value>%HADOOP_CONF_DIR%,%HADOOP_COMMON_HOME%/share/hadoop/common/*,%HADOOP_COMMON_HOME%/share/hadoop/common/lib/*,%HADOOP_HDFS_HOME%/share/hadoop/hdfs/*,%HADOOP_HDFS_HOME%/share/hadoop/hdfs/lib/*,%HADOOP_MAPRED_HOME%/share/hadoop/mapreduce/*,%HADOOP_MAPRED_HOME%/share/hadoop/mapreduce/lib/*,%HADOOP_YARN_HOME%/share/hadoop/yarn/*,%HADOOP_YARN_HOME%/share/hadoop/yarn/lib/*</value>    </property>  </configuration>

3.3. Initialize Environment Variables

Run c:\deploy\etc\hadoop\hadoop-env.cmd to setup environment variables that will be used by the startup scripts and the daemons.

3.4. Format the FileSystem

Format the filesystem with the following command:

%HADOOP_PREFIX%\bin\hdfs namenode -format

This command will print a number of filesystem parameters. Just look for the following two strings to ensure that the format command succeeded.

14/01/18 08:36:23 INFO namenode.FSImage: Saving image file \tmp\hadoop-username\dfs\name\current\fsimage.ckpt_0000000000000000000 using no compression  14/01/18 08:36:23 INFO namenode.FSImage: Image file \tmp\hadoop-username\dfs\name\current\fsimage.ckpt_0000000000000000000 of size 200 bytes saved in 0 seconds.

3.5. Start HDFS Daemons

Run the following command to start the NameNode and DataNode on localhost.

%HADOOP_PREFIX%\sbin\start-dfs.cmd

To verify that the HDFS daemons are running, try copying a file to HDFS.

C:\deploy>%HADOOP_PREFIX%\bin\hdfs dfs -put myfile.txt /    C:\deploy>%HADOOP_PREFIX%\bin\hdfs dfs -ls /  Found 1 items  drwxr-xr-x   - username supergroup          4640 2014-01-18 08:40 /myfile.txt    C:\deploy>

3.6. Start YARN Daemons and run a YARN job

Finally, start the YARN daemons.

%HADOOP_PREFIX%\sbin\start-yarn.cmd

The cluster should be up and running! To verify, we can run a simple wordcount job on the text file we just copied to HDFS.

%HADOOP_PREFIX%\bin\yarn jar %HADOOP_PREFIX%\share\hadoop\mapreduce\hadoop-mapreduce-example  s-2.5.0.jar wordcount /myfile.txt /out


4. Multi-Node cluster

TODO: Document this


5. Conclusion

5.1. Caveats

The following features are yet to be implemented for Windows.

  • Hadoop Security
  • Short-circuit reads

5.2. Questions?

If you have any questions you can request help from the Hadoop mailing lists. For help with building Hadoop on Windows, send mail to common-dev@hadoop.apache.org. For all other questions send email to user@hadoop.apache.org. Subscribe/unsubscribe information is included on the linked webpage. Please note that the mailing lists are monitored by volunteers.

Source  : https://wiki.apache.org/hadoop/Hadoop2OnWindows 


Regards,


HERY PURNAMA
Certified IT Trainer

http://www.inhousetrainer.net

 Call/ SMS/WA :  081.223344.506 , BBM : 7DC633AA
 
 
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Hometown : Bandung – Jawa Barat
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HADOOP INSTALATION ON WINDOWS 7
Mr. Hery Purnama – Trainer – 081223344506

Apakah Archimate Modeling Language ?

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Bahasa ArchiMate dikembangkan pada periode 2002-2004 di Belanda oleh tim proyek dari Telematika Instituute dalam kerjasama dengan beberapa mitra dari pemerintah, industri, dan akademisi. Di antara rekan-rekannya adalah Ordina, Radboud Universiteit Nijmegen, Leiden Institute for Advanced Computer Science (LIACS), dan Centrum Wiskunde & Informatica (CWI). Tes selanjutnya dilakukan di organisasi seperti ABN AMRO, Administrasi Pajak dan Bea Cukai Belanda, dan Stecting Pensioenfonds ABP.
Pada tahun 2008, kepemilikan dan pengelolaan bahasa ArchiMate dipindahkan dari ArchiMate Foundation ke The Open Group. Sejak 2009, Open Group ArchiMate Forum telah mengembangkan versi yang berurutan dan menerbitkannya di situs umum Open Group.
Pada bulan Februari 2009, Open Group menerbitkan standar ArchiMate 1.0 sebagai standar teknis formal, diikuti oleh standar ArchiMate 2.0 pada bulan Januari 2012, dan standar ArchiMate 2.1 pada tahun 2013.
ArchiMate 3.0 adalah versi terbaru, yang diterbitkan pada tahun 2016. Ini mencakup peningkatan dukungan untuk pemodelan strategis yang berorientasi pada kemampuan, entitas baru yang mewakili sumber daya fisik (untuk memodelkan bahan, peralatan dan sumber transportasi yang digunakan di dunia fisik) dan metamodel umum yang menunjukkan tipe entitas dan hubungan di antara keduanya.
Peran ArchiMate adalah untuk menyediakan representasi grafis dari arsitektur perusahaan suatu organisasi dari waktu ke waktu, termasuk motivasi untuk itu dan program, proyek dan jalur migrasi untuk menerapkannya. ArchiMate menawarkan bahasa yang umum untuk menggambarkan konstruksi dan pengoperasian proses bisnis, struktur organisasi, arus informasi dan infrastruktur teknis.

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