{"id":739,"date":"2014-09-19T08:55:42","date_gmt":"2014-09-19T06:55:42","guid":{"rendered":"http:\/\/blog.zhaw.ch\/datascience\/?p=739"},"modified":"2014-09-19T09:11:31","modified_gmt":"2014-09-19T07:11:31","slug":"big-data-query-processing-with-mixed-workloads","status":"publish","type":"post","link":"https:\/\/blog.zhaw.ch\/datascience\/big-data-query-processing-with-mixed-workloads\/","title":{"rendered":"Big Data Query Processing with Mixed Workloads"},"content":{"rendered":"<p>As part of a recent project called <a href=\"http:\/\/www.zhaw.ch\/fileadmin\/php_includes\/popup\/projekt-detail.php?projektnr=2066\">Big Data Query Processing<\/a> we have evaluated complex query workloads using modern Big Data systems. In particular, we have performed benchmarks of Cloudera Impala using a business intelligence use case provided by an industry partner. The results can be found on the following blog post hosted by Cloudera:<\/p>\n<h1 class=\"heading \"><a href=\"http:\/\/blog.cloudera.com\/blog\/2014\/09\/how-impala-supports-mixed-workloads-in-multi-user-environments\/\">How Impala Supports Mixed Workloads in Multi-User Environments<\/a><\/h1>\n<p>&nbsp;<\/p>\n<div class=\"pt-sm\">Schlagw\u00f6rter: <a href=\"https:\/\/blog.zhaw.ch\/datascience\/tag\/big-data\/\">Big Data<\/a>, <a href=\"https:\/\/blog.zhaw.ch\/datascience\/tag\/business-intelligence\/\">Business Intelligence<\/a>, <a href=\"https:\/\/blog.zhaw.ch\/datascience\/tag\/query-processing\/\">Query Processing<\/a><br><\/div>","protected":false},"excerpt":{"rendered":"<p>As part of a recent project called Big Data Query Processing we have evaluated complex query workloads using modern Big Data systems. In particular, we have performed benchmarks of Cloudera Impala using a business intelligence use case provided by an industry partner. The results can be found on the following blog post hosted by Cloudera: [&hellip;]<\/p>\n","protected":false},"author":45,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"ngg_post_thumbnail":0,"footnotes":""},"categories":[7],"tags":[3,11,31],"features":[],"class_list":["post-739","post","type-post","status-publish","format-standard","hentry","category-blog","tag-big-data","tag-business-intelligence","tag-query-processing"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.2 (Yoast SEO v27.2) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Big Data Query Processing with Mixed Workloads - Data Science made in Switzerland<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/blog.zhaw.ch\/datascience\/big-data-query-processing-with-mixed-workloads\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Big Data Query Processing with Mixed Workloads\" \/>\n<meta property=\"og:description\" content=\"As part of a recent project called Big Data Query Processing we have evaluated complex query workloads using modern Big Data systems. 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The results can be found on the following blog post hosted by Cloudera: [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/blog.zhaw.ch\/datascience\/big-data-query-processing-with-mixed-workloads\/\" \/>\n<meta property=\"og:site_name\" content=\"Data Science made in Switzerland\" \/>\n<meta property=\"article:published_time\" content=\"2014-09-19T06:55:42+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2014-09-19T07:11:31+00:00\" \/>\n<meta name=\"author\" content=\"Kurt Stockinger\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Kurt Stockinger\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/blog.zhaw.ch\/datascience\/big-data-query-processing-with-mixed-workloads\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/blog.zhaw.ch\/datascience\/big-data-query-processing-with-mixed-workloads\/\"},\"author\":{\"name\":\"Kurt Stockinger\",\"@id\":\"https:\/\/blog.zhaw.ch\/datascience\/#\/schema\/person\/be759de41b9280abf1c81594f04e0c1c\"},\"headline\":\"Big Data Query Processing with Mixed Workloads\",\"datePublished\":\"2014-09-19T06:55:42+00:00\",\"dateModified\":\"2014-09-19T07:11:31+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/blog.zhaw.ch\/datascience\/big-data-query-processing-with-mixed-workloads\/\"},\"wordCount\":71,\"commentCount\":0,\"keywords\":[\"Big Data\",\"Business Intelligence\",\"Query Processing\"],\"articleSection\":[\"Blog\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/blog.zhaw.ch\/datascience\/big-data-query-processing-with-mixed-workloads\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/blog.zhaw.ch\/datascience\/big-data-query-processing-with-mixed-workloads\/\",\"url\":\"https:\/\/blog.zhaw.ch\/datascience\/big-data-query-processing-with-mixed-workloads\/\",\"name\":\"Big Data Query Processing with Mixed Workloads - 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