idBigData - Komunitas Big Data Indonesia - Kota Jakarta Selatan
5/5
★
based on 8 reviews
Contact idBigData - Komunitas Big Data Indonesia
| Address : | Segitiga Emas Business Park No 4 - 5, RT.4/RW.4, Kuningan, Karet Kuningan, Kecamatan Setiabudi, Kota Jakarta Selatan, Daerah Khusus Ibukota Jakarta 12940, Indonesia |
| Phone : | 📞 +87 |
| Postal code : | 12940 |
| Website : | https://idbigdata.com/ |
| Categories : |
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Ibnu Abdee on Google
★ ★ ★ ★ ★ Idbigdata merupakan komunitas sebagai ajang untuk mengkolaborasikan ide-ide dalam memajukan penerapan Bigdata di indonesia.
 Idbigdata is a community as a place to collaborate ideas in advancing the application of Big Data in Indonesia.
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Mawaddah Hyuuga on Google
★ ★ ★ ★ ★ Komunitas ilmiah..
berbagi ilmu dan pengalaman, dengan para pakar dan praktisi teknologi Big Data. Hati-hati kalau ikut acara MeetUp nya, karena selesai acara peserta akan merasa menjadi orang yang paling tahu tentang Big Data?
Scientific community
share knowledge and experience with Big Data technology experts and practitioners. Be careful if you attend the MeetUp event, because after the event the participants will feel like they are the ones who know the Big Data the best
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Bagus Rully Muttaqien on Google
★ ★ ★ ★ ★ Komunitas ini menyadarkan saya akan penting nya data. Data adalah aset yang ketika diolah akan menghasilkan informasi yang berharga. Komunitas ini mengajak agar Bangsa Indonesia berdaulat dalam hal Data karena Kedaulatan Data adalah Pilar Kemandirian Bangsa. Sukses terus IDBigData.
This community made me aware of the importance of data. Data is an asset that when processed will produce valuable information. This community invites the Indonesian Nation to be sovereign in terms of Data because Data Sovereignty is the Pillar of National Independence. The success of IDBigData.
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hery setiawan on Google
★ ★ ★ ★ ★ Komunitas Big Data yang menyatukan dan mengkolaborasikan riset, teknologi dan pengetahuan tentang kebutuhan big data di indonesia dengan tujuan menghasilkan inovasi teknolgi yang tepat guna sesuai kebutuhan terkini.
Saya suka dengan cita-cita luhur dari komunitas ini yaitu menyatukan para pelaku teknologi big data baik itu dari kalangan bisnis, akademis, peneliti sampai dengan pemangku kebijakan atau pemerintah terhadap penguasaan teknologi Big data agar dapat mempertahankan kedaulatan data di Indonesia.
Big Data Community that unites and collaborates research, technology and knowledge about the needs of big data in Indonesia with the aim of producing effective technological innovations according to current needs.
I like the noble ideals of this community, which is to bring together big data technology players, from business, academics, researchers to policy makers or the government, to the mastery of Big data technology in order to maintain data sovereignty in Indonesia.
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hive ontez on Google
★ ★ ★ ★ ★ cool
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Anggoro Putro on Google
★ ★ ★ ★ ★ Go Up
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Deden Hasanudin on Google
★ ★ ★ ★ ★ Non profit community for big data in Indonesia, constantly host a meetup every month. You can check their web for latest info..
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Fakieh Maulana (Fakih) on Google
★ ★ ★ ★ ★
spark.yarn.queue
default
The name of the YARN queue to which the application is submitted.
capacity-scheduler
yarn.scheduler.capacity.root.queues
spark.driver.extraLibraryPath
{{spark_hadoop_lib_native}}
 Set a special library path to use when launching the driver JVM.
spark.executor.extraLibraryPath
{{spark_hadoop_lib_native}}
Set a special library path to use when launching the executor JVM.
spark.history.provider
org.apache.spark.deploy.history.FsHistoryProvider
Name of history provider class
spark.history.fs.logDirectory
Spark History FS Log directory
{{spark_history_dir}}
true
Base directory for history spark application log. It is the same value
as in spark-defaults.xml.
spark.eventLog.enabled
true
true
Whether to log Spark events, useful for reconstructing the Web UI after the application has finished.
spark.eventLog.dir
Spark Eventlog directory
{{spark_history_dir}}
true
Base directory in which Spark events are logged, if spark.eventLog.enabled is true. It is the same value
as in spark-defaults.xml.
spark.master
{{spark_thrift_master}}
The deploying mode of spark application, by default it is yarn-client for thrift-server but local mode for there's
only one nodemanager.
spark.scheduler.allocation.file
{{spark_conf}}/spark-thrift-fairscheduler.xml
Scheduler configuration file for thriftserver.
spark.scheduler.mode
FAIR
The scheduling mode between jobs submitted to the same SparkContext.
spark.shuffle.service.enabled
true
Enables the external shuffle service.
spark.hadoop.cacheConf
false
Specifies whether HadoopRDD caches the Hadoop configuration
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