狠狠撸shows by User: AmirSedighi
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Sat, 11 Feb 2017 10:32:34 GMT狠狠撸Share feed for 狠狠撸shows by User: AmirSedighiDark data
/slideshow/dark-data-72029895/72029895
darkdata-170211103234 A Short Presentation on Dark Data containing an introduction on tools and frameworks one needs to utilize it.]]>
A Short Presentation on Dark Data containing an introduction on tools and frameworks one needs to utilize it.]]>
Sat, 11 Feb 2017 10:32:34 GMT/slideshow/dark-data-72029895/72029895AmirSedighi@slideshare.net(AmirSedighi)Dark dataAmirSedighiA Short Presentation on Dark Data containing an introduction on tools and frameworks one needs to utilize it.<img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/darkdata-170211103234-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> A Short Presentation on Dark Data containing an introduction on tools and frameworks one needs to utilize it.
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8239https://cdn.slidesharecdn.com/ss_thumbnails/modiratsanati-160710072929-thumbnail.jpg?width=120&height=120&fit=boundspresentationBlackhttp://activitystrea.ms/schema/1.0/posthttp://activitystrea.ms/schema/1.0/posted0Helio, a Continues Real-Time Fraud Detection and Monitoring Solution
/slideshow/helio-a-continues-fraud-detection-and/50566397
helionrtfd-150715183718-lva1-app6892 Helio is a scalable, distributed Continues Real-Time Fraud Detection and Monitoring Solution.]]>
Helio is a scalable, distributed Continues Real-Time Fraud Detection and Monitoring Solution.]]>
Wed, 15 Jul 2015 18:37:18 GMT/slideshow/helio-a-continues-fraud-detection-and/50566397AmirSedighi@slideshare.net(AmirSedighi)Helio, a Continues Real-Time Fraud Detection and Monitoring SolutionAmirSedighiHelio is a scalable, distributed Continues Real-Time Fraud Detection and Monitoring Solution.<img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/helionrtfd-150715183718-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> Helio is a scalable, distributed Continues Real-Time Fraud Detection and Monitoring Solution.
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35958https://cdn.slidesharecdn.com/ss_thumbnails/helionrtfd-150715183718-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=boundspresentationBlackhttp://activitystrea.ms/schema/1.0/posthttp://activitystrea.ms/schema/1.0/posted0Big Data Processing Utilizing Open-source Technologies - May 2015
/slideshow/big-data-processing-utilizing-opensource-technologies-may-2015/48689938
big-dataprocessingandopen-sourcetechnologies-may2015-150528055225-lva1-app6892 This slide tries to give an idea to]]>
This slide tries to give an idea to]]>
Thu, 28 May 2015 05:52:25 GMT/slideshow/big-data-processing-utilizing-opensource-technologies-may-2015/48689938AmirSedighi@slideshare.net(AmirSedighi)Big Data Processing Utilizing Open-source Technologies - May 2015AmirSedighiThis slide tries to give an idea to<img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/big-dataprocessingandopen-sourcetechnologies-may2015-150528055225-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> This slide tries to give an idea to
]]>
35685https://cdn.slidesharecdn.com/ss_thumbnails/big-dataprocessingandopen-sourcetechnologies-may2015-150528055225-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=boundspresentationBlackhttp://activitystrea.ms/schema/1.0/posthttp://activitystrea.ms/schema/1.0/posted0Case Studies on Big-Data Processing and Streaming - Iranian Java User Group
/slideshow/case-studies-on-bigdata-processing-and-streaming-iranian-java-user-group/45017578
jug-bigdata-amirsedighi-150223065946-conversion-gate02 During recent years, the data science has undergone a big shift towards big data processing. As a result, a change in our methodology seems to be inevitable. This change, however, does not necessarily translate to a loss in decades of investments in classical data processing technologies and data warehousing. Instead, it supports adapting to the new environment with regards to the mass production of business data, by adopting modern practices.
In this talk we review some frameworks and solutions to modern big data processing approaches, along with a few case studies that have been carried out in Iran.]]>
During recent years, the data science has undergone a big shift towards big data processing. As a result, a change in our methodology seems to be inevitable. This change, however, does not necessarily translate to a loss in decades of investments in classical data processing technologies and data warehousing. Instead, it supports adapting to the new environment with regards to the mass production of business data, by adopting modern practices.
In this talk we review some frameworks and solutions to modern big data processing approaches, along with a few case studies that have been carried out in Iran.]]>
Mon, 23 Feb 2015 06:59:46 GMT/slideshow/case-studies-on-bigdata-processing-and-streaming-iranian-java-user-group/45017578AmirSedighi@slideshare.net(AmirSedighi)Case Studies on Big-Data Processing and Streaming - Iranian Java User GroupAmirSedighiDuring recent years, the data science has undergone a big shift towards big data processing. As a result, a change in our methodology seems to be inevitable. This change, however, does not necessarily translate to a loss in decades of investments in classical data processing technologies and data warehousing. Instead, it supports adapting to the new environment with regards to the mass production of business data, by adopting modern practices.
In this talk we review some frameworks and solutions to modern big data processing approaches, along with a few case studies that have been carried out in Iran.<img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/jug-bigdata-amirsedighi-150223065946-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> During recent years, the data science has undergone a big shift towards big data processing. As a result, a change in our methodology seems to be inevitable. This change, however, does not necessarily translate to a loss in decades of investments in classical data processing technologies and data warehousing. Instead, it supports adapting to the new environment with regards to the mass production of business data, by adopting modern practices.
In this talk we review some frameworks and solutions to modern big data processing approaches, along with a few case studies that have been carried out in Iran.
]]>
16364https://cdn.slidesharecdn.com/ss_thumbnails/jug-bigdata-amirsedighi-150223065946-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=boundspresentationBlackhttp://activitystrea.ms/schema/1.0/posthttp://activitystrea.ms/schema/1.0/posted0Opensource Frameworks and BigData Processing
/slideshow/opensource-frameworks-and-bigdata-processing/42603667
ubuntuparty01-141211071344-conversion-gate01 This is a very short introduction to the BigData processing utilizing Opensource technologies.]]>
This is a very short introduction to the BigData processing utilizing Opensource technologies.]]>
Thu, 11 Dec 2014 07:13:44 GMT/slideshow/opensource-frameworks-and-bigdata-processing/42603667AmirSedighi@slideshare.net(AmirSedighi)Opensource Frameworks and BigData ProcessingAmirSedighiThis is a very short introduction to the BigData processing utilizing Opensource technologies.<img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ubuntuparty01-141211071344-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> This is a very short introduction to the BigData processing utilizing Opensource technologies.
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65779https://cdn.slidesharecdn.com/ss_thumbnails/ubuntuparty01-141211071344-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=boundspresentationBlackhttp://activitystrea.ms/schema/1.0/posthttp://activitystrea.ms/schema/1.0/posted0Elasticsearch 1.x Cluster Installation (VirtualBox)
/slideshow/elasticsearch-1x-cluster-installation-virtualbox/42267856
elasticsearchclusterinstallation-141202105914-conversion-gate01 This is a straightforward tutorial for those are going to run a cluster of elasticsearch on their notebooks or PCs.]]>
This is a straightforward tutorial for those are going to run a cluster of elasticsearch on their notebooks or PCs.]]>
Tue, 02 Dec 2014 10:59:13 GMT/slideshow/elasticsearch-1x-cluster-installation-virtualbox/42267856AmirSedighi@slideshare.net(AmirSedighi)Elasticsearch 1.x Cluster Installation (VirtualBox)AmirSedighiThis is a straightforward tutorial for those are going to run a cluster of elasticsearch on their notebooks or PCs.<img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/elasticsearchclusterinstallation-141202105914-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> This is a straightforward tutorial for those are going to run a cluster of elasticsearch on their notebooks or PCs.
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97842https://cdn.slidesharecdn.com/ss_thumbnails/elasticsearchclusterinstallation-141202105914-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=boundspresentationBlackhttp://activitystrea.ms/schema/1.0/posthttp://activitystrea.ms/schema/1.0/posted0Hadoop 2.x HDFS Cluster Installation (VirtualBox)
/AmirSedighi/hadoop-2x-virtualbox-cluster-installation
hadoopclusterinstallation-141202105443-conversion-gate01 This is a straight-forward tutorial for those who are goring to use HDFS in an academic environment on their notebooks or PCs.]]>
This is a straight-forward tutorial for those who are goring to use HDFS in an academic environment on their notebooks or PCs.]]>
Tue, 02 Dec 2014 10:54:43 GMT/AmirSedighi/hadoop-2x-virtualbox-cluster-installationAmirSedighi@slideshare.net(AmirSedighi)Hadoop 2.x HDFS Cluster Installation (VirtualBox)AmirSedighiThis is a straight-forward tutorial for those who are goring to use HDFS in an academic environment on their notebooks or PCs.<img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/hadoopclusterinstallation-141202105443-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> This is a straight-forward tutorial for those who are goring to use HDFS in an academic environment on their notebooks or PCs.
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97041https://cdn.slidesharecdn.com/ss_thumbnails/hadoopclusterinstallation-141202105443-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=boundspresentationBlackhttp://activitystrea.ms/schema/1.0/posthttp://activitystrea.ms/schema/1.0/posted0An Introduction to Apache Kafka
/slideshow/an-introduction-to-apachi-kafka/42182144
apachikafka-141130084425-conversion-gate02 Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.]]>
Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.]]>
Sun, 30 Nov 2014 08:44:25 GMT/slideshow/an-introduction-to-apachi-kafka/42182144AmirSedighi@slideshare.net(AmirSedighi)An Introduction to Apache KafkaAmirSedighiApache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.<img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/apachikafka-141130084425-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.
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30249https://cdn.slidesharecdn.com/ss_thumbnails/apachikafka-141130084425-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=boundspresentationWhitehttp://activitystrea.ms/schema/1.0/posthttp://activitystrea.ms/schema/1.0/posted0An introduction To Apache Spark
/slideshow/an-introduction-to-apache-spark-41770840/41770840
anintrotospark-141119135355-conversion-gate02 This is an introduction to Apache Spark.]]>
This is an introduction to Apache Spark.]]>
Wed, 19 Nov 2014 13:53:55 GMT/slideshow/an-introduction-to-apache-spark-41770840/41770840AmirSedighi@slideshare.net(AmirSedighi)An introduction To Apache SparkAmirSedighiThis is an introduction to Apache Spark.<img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/anintrotospark-141119135355-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> This is an introduction to Apache Spark.
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104684https://cdn.slidesharecdn.com/ss_thumbnails/anintrotospark-141119135355-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=boundspresentationWhitehttp://activitystrea.ms/schema/1.0/posthttp://activitystrea.ms/schema/1.0/posted0Distributed Data Processing Workshop - SBU
/slideshow/distrinuted-data-processing-workshop-sbu/41613872
sbudistributeddataprocessing-141116062052-conversion-gate02 This presentation is about how to prepare a distributed data processing environment on your PC.]]>
This presentation is about how to prepare a distributed data processing environment on your PC.]]>
Sun, 16 Nov 2014 06:20:52 GMT/slideshow/distrinuted-data-processing-workshop-sbu/41613872AmirSedighi@slideshare.net(AmirSedighi)Distributed Data Processing Workshop - SBUAmirSedighiThis presentation is about how to prepare a distributed data processing environment on your PC.<img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sbudistributeddataprocessing-141116062052-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> This presentation is about how to prepare a distributed data processing environment on your PC.
]]>
92103https://cdn.slidesharecdn.com/ss_thumbnails/sbudistributeddataprocessing-141116062052-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=boundspresentationWhitehttp://activitystrea.ms/schema/1.0/posthttp://activitystrea.ms/schema/1.0/posted0An introduction to Big-Data processing applying hadoop
/slideshow/an-introduction-to-bigdata-processing-applying-hadoop/41613755
introtobigdataandhadoop01-141116061412-conversion-gate02 I've prepared this presentation one year ago. It is about hadoop and big data processing using hadoop.]]>
I've prepared this presentation one year ago. It is about hadoop and big data processing using hadoop.]]>
Sun, 16 Nov 2014 06:14:12 GMT/slideshow/an-introduction-to-bigdata-processing-applying-hadoop/41613755AmirSedighi@slideshare.net(AmirSedighi)An introduction to Big-Data processing applying hadoopAmirSedighiI've prepared this presentation one year ago. It is about hadoop and big data processing using hadoop.<img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/introtobigdataandhadoop01-141116061412-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> I've prepared this presentation one year ago. It is about hadoop and big data processing using hadoop.
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8251https://cdn.slidesharecdn.com/ss_thumbnails/introtobigdataandhadoop01-141116061412-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=boundspresentationWhitehttp://activitystrea.ms/schema/1.0/posthttp://activitystrea.ms/schema/1.0/posted0https://cdn.slidesharecdn.com/profile-photo-AmirSedighi-48x48.jpg?cb=1604548031I am an experienced software engineer, data solutions architect and an entrepreneur, experienced in Big-Data processing, Recommender Systems, Machine Learning and Data Streaming.http://hexican.comhttps://cdn.slidesharecdn.com/ss_thumbnails/darkdata-170211103234-thumbnail.jpg?width=320&height=320&fit=boundsslideshow/dark-data-72029895/72029895Dark datahttps://cdn.slidesharecdn.com/ss_thumbnails/howtodatamlopensourceiran-161223073839-thumbnail.jpg?width=320&height=320&fit=boundsAmirSedighi/ss-70393599丌卮賳丕蹖蹖 亘丕 丿丕丿賴鈥屬囏й� 亘夭乇...https://cdn.slidesharecdn.com/ss_thumbnails/bigdataandmlcourse07-161006121324-thumbnail.jpg?width=320&height=320&fit=boundsslideshow/big-data-and-machine-learning-workshop-day-7-utacm/66807158Big Data and Machine L...