ºÝºÝߣshows by User: ranziv / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: ranziv / Thu, 22 May 2014 09:39:39 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: ranziv Leveraging Endpoint Flexibility in Data-Intensive Clusters /slideshow/sinbad-v15-slidesharev10/35003434 sinbadv1-140522093939-phpapp02
Part of the Apache Spark and Mesos projects. Based on an article of Mosharaf Chowdhury, Srikanth Kandula and Ion Stoica from University of California, Berkeley. The article was presented in SIGCOMM 2013 in Hong Kong.]]>

Part of the Apache Spark and Mesos projects. Based on an article of Mosharaf Chowdhury, Srikanth Kandula and Ion Stoica from University of California, Berkeley. The article was presented in SIGCOMM 2013 in Hong Kong.]]>
Thu, 22 May 2014 09:39:39 GMT /slideshow/sinbad-v15-slidesharev10/35003434 ranziv@slideshare.net(ranziv) Leveraging Endpoint Flexibility in Data-Intensive Clusters ranziv Part of the Apache Spark and Mesos projects. Based on an article of Mosharaf Chowdhury, �Srikanth Kandula� and Ion Stoica from University of California, Berkeley. The article was presented in SIGCOMM 2013 in Hong Kong. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sinbadv1-140522093939-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Part of the Apache Spark and Mesos projects. Based on an article of Mosharaf Chowdhury, �Srikanth Kandula� and Ion Stoica from University of California, Berkeley. The article was presented in SIGCOMM 2013 in Hong Kong.
Leveraging Endpoint Flexibility in Data-Intensive Clusters from Ran Ziv
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Introduction to Hadoop /slideshow/introduction-to-hadoop-35002670/35002670 introductiontohadoop-140522092205-phpapp01
The Apache™ Hadoop® project develops open-source software for reliable, scalable, distributed computing. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.]]>

The Apache™ Hadoop® project develops open-source software for reliable, scalable, distributed computing. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.]]>
Thu, 22 May 2014 09:22:04 GMT /slideshow/introduction-to-hadoop-35002670/35002670 ranziv@slideshare.net(ranziv) Introduction to Hadoop ranziv The Apache™ Hadoop® project develops open-source software for reliable, scalable, distributed computing. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/introductiontohadoop-140522092205-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The Apache™ Hadoop® project develops open-source software for reliable, scalable, distributed computing. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.
Introduction to Hadoop from Ran Ziv
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https://cdn.slidesharecdn.com/profile-photo-ranziv-48x48.jpg?cb=1523511274 Specialties: Large scale and Big Data solutions architect, https://cdn.slidesharecdn.com/ss_thumbnails/sinbadv1-140522093939-phpapp02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/sinbad-v15-slidesharev10/35003434 Leveraging Endpoint Fl... https://cdn.slidesharecdn.com/ss_thumbnails/introductiontohadoop-140522092205-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/introduction-to-hadoop-35002670/35002670 Introduction to Hadoop