際際滷shows by User: yazovsky / http://www.slideshare.net/images/logo.gif 際際滷shows by User: yazovsky / Tue, 19 Nov 2013 17:53:19 GMT 際際滷Share feed for 際際滷shows by User: yazovsky Tues 115pm cassandra + s3 + hadoop = quick auditing and analytics_yazovskiy /slideshow/tues-115pm-cassandra-s3-hadoop-quick-auditing-and-analyticsyazovskiy/28431966 tues115pmcassandras3hadoopquickauditingandanalyticsyazovskiy-131119175319-phpapp01
The Cassandra database is an excellent choice when you need scalability and high availability without compromising performance. Cassandras linear scalability, proven fault tolerance and tunable consistency, combined with its being optimized for write traffic, make it an attractive choice for performing structured logging of application and transactional events. But using a columnar store like Cassandra for analytical needs poses its own problems, problems we solved by careful construction of Column Families combined with diplomatic use of Hadoop. This tutorial focuses on building a similar system from scratch, showing how to perform analytical queries in near real time and still getting the benefits of the high-performance database engine of Cassandra. The key subjects are: The splendors and miseries of NoSQL Apache Cassandra use cases Difficulties of using Map/Reduce directly in Cassandra Amazon cloud solutions: Elastic MapReduce and S3 Real-enough time analysis]]>
The Cassandra database is an excellent choice when you need scalability and high availability without compromising performance. Cassandras linear scalability, proven fault tolerance and tunable consistency, combined with its being optimized for write traffic, make it an attractive choice for performing structured logging of application and transactional events. But using a columnar store like Cassandra for analytical needs poses its own problems, problems we solved by careful construction of Column Families combined with diplomatic use of Hadoop. This tutorial focuses on building a similar system from scratch, showing how to perform analytical queries in near real time and still getting the benefits of the high-performance database engine of Cassandra. The key subjects are: The splendors and miseries of NoSQL Apache Cassandra use cases Difficulties of using Map/Reduce directly in Cassandra Amazon cloud solutions: Elastic MapReduce and S3 Real-enough time analysis]]> Tue, 19 Nov 2013 17:53:19 GMT /slideshow/tues-115pm-cassandra-s3-hadoop-quick-auditing-and-analyticsyazovskiy/28431966 yazovsky@slideshare.net(yazovsky) Tues 115pm cassandra + s3 + hadoop = quick auditing and analytics_yazovskiy yazovsky The Cassandra database is an excellent choice when you need scalability and high availability without compromising performance. Cassandras linear scalability, proven fault tolerance and tunable consistency, combined with its being optimized for write traffic, make it an attractive choice for performing structured logging of application and transactional events. But using a columnar store like Cassandra for analytical needs poses its own problems, problems we solved by careful construction of Column Families combined with diplomatic use of Hadoop. This tutorial focuses on building a similar system from scratch, showing how to perform analytical queries in near real time and still getting the benefits of the high-performance database engine of Cassandra. The key subjects are: The splendors and miseries of NoSQL Apache Cassandra use cases Difficulties of using Map/Reduce directly in Cassandra Amazon cloud solutions: Elastic MapReduce and S3 Real-enough time analysis <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/tues115pmcassandras3hadoopquickauditingandanalyticsyazovskiy-131119175319-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The Cassandra database is an excellent choice when you need scalability and high availability without compromising performance. Cassandras linear scalability, proven fault tolerance and tunable consistency, combined with its being optimized for write traffic, make it an attractive choice for performing structured logging of application and transactional events. But using a columnar store like Cassandra for analytical needs poses its own problems, problems we solved by careful construction of Column Families combined with diplomatic use of Hadoop. This tutorial focuses on building a similar system from scratch, showing how to perform analytical queries in near real time and still getting the benefits of the high-performance database engine of Cassandra. The key subjects are: The splendors and miseries of NoSQL Apache Cassandra use cases Difficulties of using Map/Reduce directly in Cassandra Amazon cloud solutions: Elastic MapReduce and S3 Real-enough time analysis
Tues 115pm cassandra + s3 + hadoop = quick auditing and analytics_yazovskiy from Anton Yazovskiy
]]> 332 2 https://cdn.slidesharecdn.com/ss_thumbnails/tues115pmcassandras3hadoopquickauditingandanalyticsyazovskiy-131119175319-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 仗 亳仗仂仍亰仂于舒仆亳 Xml 弍亟 Marklogic /slideshow/xml-marklogic/14637290 xmlmarklogic-121008103906-phpapp01
亠亰亠仆舒亳 从仂仆亠亠仆亳亳 Happydev 2012]]>
亠亰亠仆舒亳 从仂仆亠亠仆亳亳 Happydev 2012]]> Mon, 08 Oct 2012 10:39:05 GMT /slideshow/xml-marklogic/14637290 yazovsky@slideshare.net(yazovsky) 仗 亳仗仂仍亰仂于舒仆亳 Xml 弍亟 Marklogic yazovsky 亠亰亠仆舒亳 从仂仆亠亠仆亳亳 Happydev 2012 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/xmlmarklogic-121008103906-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 亠亰亠仆舒亳 从仂仆亠亠仆亳亳 Happydev 2012
仗 亳仗仂仍亰仂于舒仆亳 Xml 弍亟 Marklogic from Anton Yazovskiy
]]> 660 2 https://cdn.slidesharecdn.com/ss_thumbnails/xmlmarklogic-121008103906-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-yazovsky-48x48.jpg?cb=1523442718 https://cdn.slidesharecdn.com/ss_thumbnails/tues115pmcassandras3hadoopquickauditingandanalyticsyazovskiy-131119175319-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/tues-115pm-cassandra-s3-hadoop-quick-auditing-and-analyticsyazovskiy/28431966 Tues 115pm cassandra +... https://cdn.slidesharecdn.com/ss_thumbnails/xmlmarklogic-121008103906-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/xml-marklogic/14637290 仗 亳仗仂仍亰仂于舒仆亳 Xml...