際際滷shows by User: az82 / http://www.slideshare.net/images/logo.gif 際際滷shows by User: az82 / Thu, 12 May 2016 06:55:59 GMT 際際滷Share feed for 際際滷shows by User: az82 Clickstream Analysis With Apache Spark /slideshow/clickstream-analysis-with-apache-spark-61934438/61934438 apachebigdata-clickstream-analysis-160512065559
On large-scale web sites, users leave thousands of traces every second. Businesses need to process and interpret these traces in real-time to be able to react on the behavior of their users. In this talk, Andreas will show a real world example of the power of a modern open-source stack. He will walk you through the design of a real-time clickstream analysis PAAS solution based on Apache Spark, Kafka, Parquet and HDFS, explain our decision making and present our lessons learned.]]>
On large-scale web sites, users leave thousands of traces every second. Businesses need to process and interpret these traces in real-time to be able to react on the behavior of their users. In this talk, Andreas will show a real world example of the power of a modern open-source stack. He will walk you through the design of a real-time clickstream analysis PAAS solution based on Apache Spark, Kafka, Parquet and HDFS, explain our decision making and present our lessons learned.]]> Thu, 12 May 2016 06:55:59 GMT /slideshow/clickstream-analysis-with-apache-spark-61934438/61934438 az82@slideshare.net(az82) Clickstream Analysis With Apache Spark az82 On large-scale web sites, users leave thousands of traces every second. Businesses need to process and interpret these traces in real-time to be able to react on the behavior of their users. In this talk, Andreas will show a real world example of the power of a modern open-source stack. He will walk you through the design of a real-time clickstream analysis PAAS solution based on Apache Spark, Kafka, Parquet and HDFS, explain our decision making and present our lessons learned. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/apachebigdata-clickstream-analysis-160512065559-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> On large-scale web sites, users leave thousands of traces every second. Businesses need to process and interpret these traces in real-time to be able to react on the behavior of their users. In this talk, Andreas will show a real world example of the power of a modern open-source stack. He will walk you through the design of a real-time clickstream analysis PAAS solution based on Apache Spark, Kafka, Parquet and HDFS, explain our decision making and present our lessons learned.
Clickstream Analysis With Apache Spark from Andreas Zitzelsberger
]]> 290 4 https://cdn.slidesharecdn.com/ss_thumbnails/apachebigdata-clickstream-analysis-160512065559-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 Real Time BOM Explosions With Apache Solr and Spark /slideshow/real-time-bom-explosions-with-apache-solr-and-spark/61934214 apachebigdata-realtime-bom-explosions-160512064829
Bill of materials (BOMs) are at the heart of every manufacturing process. Especially large BOMs can be found in the automotive industry, where a complex and highly variable product meets high production volumes. Drawing from the experiences made in an ongoing real world project for a major car manufacturer, Andreas will provide an in-depth view how Apache Solr and Apache Spark were used to power an innovative architecture that provides lightning-fast BOM explosions, demand forecasts and scenario-based planning on 20 billion records per scenario.]]>
Bill of materials (BOMs) are at the heart of every manufacturing process. Especially large BOMs can be found in the automotive industry, where a complex and highly variable product meets high production volumes. Drawing from the experiences made in an ongoing real world project for a major car manufacturer, Andreas will provide an in-depth view how Apache Solr and Apache Spark were used to power an innovative architecture that provides lightning-fast BOM explosions, demand forecasts and scenario-based planning on 20 billion records per scenario.]]> Thu, 12 May 2016 06:48:29 GMT /slideshow/real-time-bom-explosions-with-apache-solr-and-spark/61934214 az82@slideshare.net(az82) Real Time BOM Explosions With Apache Solr and Spark az82 Bill of materials (BOMs) are at the heart of every manufacturing process. Especially large BOMs can be found in the automotive industry, where a complex and highly variable product meets high production volumes. Drawing from the experiences made in an ongoing real world project for a major car manufacturer, Andreas will provide an in-depth view how Apache Solr and Apache Spark were used to power an innovative architecture that provides lightning-fast BOM explosions, demand forecasts and scenario-based planning on 20 billion records per scenario. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/apachebigdata-realtime-bom-explosions-160512064829-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Bill of materials (BOMs) are at the heart of every manufacturing process. Especially large BOMs can be found in the automotive industry, where a complex and highly variable product meets high production volumes. Drawing from the experiences made in an ongoing real world project for a major car manufacturer, Andreas will provide an in-depth view how Apache Solr and Apache Spark were used to power an innovative architecture that provides lightning-fast BOM explosions, demand forecasts and scenario-based planning on 20 billion records per scenario.
Real Time BOM Explosions With Apache Solr and Spark from Andreas Zitzelsberger
]]> 585 7 https://cdn.slidesharecdn.com/ss_thumbnails/apachebigdata-realtime-bom-explosions-160512064829-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-az82-48x48.jpg?cb=1601295425 az82.de https://cdn.slidesharecdn.com/ss_thumbnails/apachebigdata-clickstream-analysis-160512065559-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/clickstream-analysis-with-apache-spark-61934438/61934438 Clickstream Analysis W... https://cdn.slidesharecdn.com/ss_thumbnails/apachebigdata-realtime-bom-explosions-160512064829-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/real-time-bom-explosions-with-apache-solr-and-spark/61934214 Real Time BOM Explosio...