{"id":23702,"date":"2019-06-20T10:58:41","date_gmt":"2019-06-20T17:58:41","guid":{"rendered":"https:\/\/devblogs.microsoft.com\/dotnet\/?p=23702"},"modified":"2021-09-29T12:16:40","modified_gmt":"2021-09-29T19:16:40","slug":"help-us-shape-the-future-of-net-for-apache-spark","status":"publish","type":"post","link":"https:\/\/devblogs.microsoft.com\/dotnet\/help-us-shape-the-future-of-net-for-apache-spark\/","title":{"rendered":"Help us shape the future of .NET for Apache Spark"},"content":{"rendered":"<p><a href=\"https:\/\/nam06.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fspark.apache.org%2F&amp;data=02%7C01%7Ct-mehari%40microsoft.com%7C41e01e39f2f546b3871d08d6f5a6312d%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C636966491468742162&amp;sdata=zslhAn3b0ZiUxpp%2F97Ut8ArBiFtOu1U3Nj8lFejf59U%3D&amp;reserved=0\">Apache Spark\u2122<\/a> is a general-purpose distributed processing engine for analytics over large data set typically terabytes or petabytes of data. Apache Spark can be used for processing batches of data, real-time streams, machine learning, and ad-hoc query. So far Spark has been accessible through Scala, Java, Python and R but not .NET.<\/p>\n<p>At <a href=\"https:\/\/nam06.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fdevblogs.microsoft.com%2Fdotnet%2Fintroducing-net-for-apache-spark%2F&amp;data=02%7C01%7Ct-mehari%40microsoft.com%7C41e01e39f2f546b3871d08d6f5a6312d%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C636966491468752157&amp;sdata=ltTakI9h32Z7tdKEja9NUkf0CIBpdkKKZemA4TlEPag%3D&amp;reserved=0\">Spark + AI summit<\/a> earlier this year, we released <a href=\"https:\/\/nam06.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fdotnet.microsoft.com%2Fapps%2Fdata%2Fspark&amp;data=02%7C01%7Ct-mehari%40microsoft.com%7C41e01e39f2f546b3871d08d6f5a6312d%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C636966491468752157&amp;sdata=GzhJp8EIocnNccoMpRkYrFE0mctiDcF1hqUCd0Iy46Y%3D&amp;reserved=0\">.NET for Apache Spark<\/a> which makes Spark accessible to .NET developers. The initial reception for .NET for Apache Spark has been very positive and as we build .NET for Apache Spark in the open we would love to get your feedback.<\/p>\n<p>Please fill out the survey below and help shape\u00a0how we can improve .NET for Apache Spark\u00a0for your needs by\u00a0sharing your experiences and challenges.<\/p>\n<h2><a href=\"https:\/\/www.research.net\/r\/TRPD7GS\">.NET For Apache Spark Survey<\/a><\/h2>\n<p><a href=\"https:\/\/www.research.net\/r\/8PPFMT5\" target=\"_blank\" rel=\"noopener noreferrer\"><img decoding=\"async\" class=\"alignnone\" src=\"https:\/\/msdnshared.blob.core.windows.net\/media\/2018\/07\/feedback.svg\" alt=\"\" width=\"415\" height=\"196\" \/><\/a><\/p>\n<p>The survey should take\u00a0less than 10\u00a0minutes\u00a0\u00a0to complete!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Apache Spark\u2122 is a general-purpose distributed processing engine for analytics over large data set typically terabytes or petabytes of data. Apache Spark can be used for processing batches of data, real-time streams, machine learning, and ad-hoc query. So far Spark has been accessible through Scala, Java, Python and R but not .NET. At Spark + [&hellip;]<\/p>\n","protected":false},"author":5260,"featured_media":58792,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[685],"tags":[4],"class_list":["post-23702","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-dotnet","tag-net"],"acf":[],"blog_post_summary":"<p>Apache Spark\u2122 is a general-purpose distributed processing engine for analytics over large data set typically terabytes or petabytes of data. Apache Spark can be used for processing batches of data, real-time streams, machine learning, and ad-hoc query. So far Spark has been accessible through Scala, Java, Python and R but not .NET. At Spark + [&hellip;]<\/p>\n","_links":{"self":[{"href":"https:\/\/devblogs.microsoft.com\/dotnet\/wp-json\/wp\/v2\/posts\/23702","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/devblogs.microsoft.com\/dotnet\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/devblogs.microsoft.com\/dotnet\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/dotnet\/wp-json\/wp\/v2\/users\/5260"}],"replies":[{"embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/dotnet\/wp-json\/wp\/v2\/comments?post=23702"}],"version-history":[{"count":0,"href":"https:\/\/devblogs.microsoft.com\/dotnet\/wp-json\/wp\/v2\/posts\/23702\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/dotnet\/wp-json\/wp\/v2\/media\/58792"}],"wp:attachment":[{"href":"https:\/\/devblogs.microsoft.com\/dotnet\/wp-json\/wp\/v2\/media?parent=23702"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/dotnet\/wp-json\/wp\/v2\/categories?post=23702"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/dotnet\/wp-json\/wp\/v2\/tags?post=23702"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}