Repository: spark-website Updated Branches: refs/heads/asf-site eb97812f5 -> e6166eabf
Small updates to Powered By page Add Stanford DAWN and Alluxio because they asked to be listed there and update text for Databricks Project: http://git-wip-us.apache.org/repos/asf/spark-website/repo Commit: http://git-wip-us.apache.org/repos/asf/spark-website/commit/e6166eab Tree: http://git-wip-us.apache.org/repos/asf/spark-website/tree/e6166eab Diff: http://git-wip-us.apache.org/repos/asf/spark-website/diff/e6166eab Branch: refs/heads/asf-site Commit: e6166eabf8e7c96821a0cafc3eec4095ab943cbf Parents: eb97812 Author: Matei Zaharia <matei.zaha...@gmail.com> Authored: Sat Jun 16 10:02:09 2018 -0700 Committer: Matei Zaharia <matei.zaha...@gmail.com> Committed: Sat Jun 16 10:02:09 2018 -0700 ---------------------------------------------------------------------- powered-by.md | 31 +++++++++++++++---------------- site/doap.rdf | 5 ++++- site/powered-by.html | 41 +++++++++++++++++++++++------------------ site/sitemap.xml | 12 ++++++------ 4 files changed, 48 insertions(+), 41 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/spark-website/blob/e6166eab/powered-by.md ---------------------------------------------------------------------- diff --git a/powered-by.md b/powered-by.md index 1f075b9..8345ab2 100644 --- a/powered-by.md +++ b/powered-by.md @@ -40,17 +40,13 @@ initially launched Spark - Spark powers NOW APPS, a big data, real-time, predictive analytics platform. We use Spark SQL, MLlib and GraphX components for both batch ETL and analytics applied to telecommunication data, providing faster and more meaningful insights and actionable data to the operators. -- <a href="http://adatao.com";>Adatao, Inc.</a> - Data Intelligence for All - - Visual, Real-Time, Predictive Analytics on Spark+Hadoop, with built-in support for R, Python, - SQL, and Natural Language. - - Team of ex-Googlers and Yahoos with large-scale infrastructure experience - (including both flavors of MapReduce at Google and Yahoo) and PhD's in ML/Data Mining - - Determined that Spark, among the many alternatives, answered the right problem statements with - the right design - <a href="http://www.agilelab.it";>Agile Lab</a> - enhancing big data. 360 customer view, log analysis, BI - <a href="http://www.taobao.com/";>Alibaba Taobao</a> - We built one of the world's first Spark on YARN production clusters. +- <a href="http://alluxio.com/";>Alluxio</a> + - Alluxio, formerly Tachyon, is the world's first system that unifies disparate storage systems + at memory speed. - <a href="http://alpinenow.com/";>Alpine Data Labs</a> - <a href="http://amazon.com";>Amazon</a> - <a href="http://www.art.com/";>Art.com</a> @@ -92,13 +88,12 @@ and external data sources, driving holistic and actionable insights. - <a href="https://www.creditkarma.com/";>Credit Karma</a> - We create personalized experiences using Spark. - <a href="https://databricks.com";>Databricks</a> - - Formed by the creators of Apache Spark and Shark, Databricks is working to greatly expand these - open source projects and transform big data analysis in the process. We're deeply committed to - keeping all work on these systems open source. - - We provided a hosted service to run Spark, - <a href="http://www.databricks.com/cloud";>Databricks Cloud</a>, and partner to - <a href="https://databricks.com/support/";>support Apache Spark</a> with other Hadoop and big - data companies. + - Formed by the original creators of Apache Spark, Databricks is working to expand the + open source project and simplify big data and machine learning. We're deeply + committed to keeping all our work on Spark open source. + - We provided a <a href="https://www.databricks.com/product";>cloud-optimized platform</a> + to run Spark and ML applications on Amazon Web Services and Azure, as well as a comprehensive + <a href="https://databricks.com/training";>training program</a>. - <a href="http://dianping.com";>Dianping.com</a> - <a href="http://www.digby.com";>Digby</a> - <a href="http://www.drawbrid.ge/";>Drawbridge</a> @@ -177,7 +172,8 @@ across all screens - Components we are using: Spark Core (Scala API), Spark SQL, and GraphX - <a href="http://www.peerialism.com";>Peerialism</a> - <a href="http://www.planbmedia.com";>PlanBMedia</a> -- <a href="http://prediction.io/";>PredicitionIo</a> - PredictionIO currently offers two engine +- <a href="http://prediction.io/";>PredicitionIo</a> + - PredictionIO currently offers two engine templates for Apache Spark MLlib for recommendation (MLlib ALS) and classification (MLlib Naive Bayes). With these templates, you can create a custom predictive engine for production deployment efficiently. @@ -205,6 +201,9 @@ efficiently. - SK Telecom analyses mobile usage patterns of customer with Spark and Shark. - <a href="http://socialmetrix.com/";>Socialmetrix</a> - <a href="http://www.sohu.com";>Sohu</a> +- <a href="https://dawn.cs.stanford.edu";>Stanford DAWN</a> + - Research lab on infrastructure for usable machine learning, with multiple research projects that run over or + accelerate Apache Spark. - <a href="http://www.stratio.com/";>Stratio</a> - Offers an open-source Big Data platform centered around Apache Spark. - <a href="https://www.taboola.com/";>Taboola</a> â Powering 'Content You May Like' around the web @@ -231,4 +230,4 @@ efficiently. - <a href="http://www.zaloni.com/products/";>Zaloni</a> - Zaloni's data lake management platform (Bedrock) and self-service data preparation solution (Mica) leverage Spark for fast execution of transformations and data exploration. - \ No newline at end of file + http://git-wip-us.apache.org/repos/asf/spark-website/blob/e6166eab/site/doap.rdf ---------------------------------------------------------------------- diff --git a/site/doap.rdf b/site/doap.rdf index 1568c3f..25bb8fc 100644 --- a/site/doap.rdf +++ b/site/doap.rdf @@ -28,13 +28,16 @@ <homepage rdf:resource="http://spark.apache.org"; /> <asfext:pmc rdf:resource="http://spark.apache.org"; /> <shortdesc>Apache Spark is a fast and general engine for large-scale data processing.</shortdesc> - <description>Apache Spark is a fast and general engine for large-scale data processing. It offers high-level APIs in Java, Scala and Python as well as a rich set of libraries including stream processing, machine learning, and graph analytics.</description> + <description>Apache Spark is a fast and general engine for large-scale data processing. It offers high-level APIs in Java, Scala, Python and R, as well as a rich set of libraries including stream processing, machine learning, and graph analytics.</description> <bug-database rdf:resource="http://issues.apache.org/jira/browse/SPARK"; /> <mailing-list rdf:resource="http://spark.apache.org/community.html"; /> <download-page rdf:resource="http://spark.apache.org/downloads.html"; /> <programming-language>Java</programming-language> <programming-language>Scala</programming-language> <programming-language>Python</programming-language> + <programming-language>R</programming-language> + <programming-language>SQL</programming-language> + <programming-language>JDBC</programming-language> <category rdf:resource="http://projects.apache.org/category/big-data"; /> </Project> </rdf:RDF> http://git-wip-us.apache.org/repos/asf/spark-website/blob/e6166eab/site/powered-by.html ---------------------------------------------------------------------- diff --git a/site/powered-by.html b/site/powered-by.html index 00a7b81..1b7b093 100644 --- a/site/powered-by.html +++ b/site/powered-by.html @@ -240,16 +240,6 @@ MLlib and GraphX components for both batch ETL and analytics applied to telecomm providing faster and more meaningful insights and actionable data to the operators.</li> </ul> </li> - <li><a href="http://adatao.com";>Adatao, Inc.</a> - Data Intelligence for All - <ul> - <li>Visual, Real-Time, Predictive Analytics on Spark+Hadoop, with built-in support for R, Python, -SQL, and Natural Language.</li> - <li>Team of ex-Googlers and Yahoos with large-scale infrastructure experience -(including both flavors of MapReduce at Google and Yahoo) and PhD’s in ML/Data Mining</li> - <li>Determined that Spark, among the many alternatives, answered the right problem statements with -the right design</li> - </ul> - </li> <li><a href="http://www.agilelab.it";>Agile Lab</a> <ul> <li>enhancing big data. 360 customer view, log analysis, BI</li> @@ -260,6 +250,12 @@ the right design</li> <li>We built one of the world’s first Spark on YARN production clusters.</li> </ul> </li> + <li><a href="http://alluxio.com/";>Alluxio</a> + <ul> + <li>Alluxio, formerly Tachyon, is the world’s first system that unifies disparate storage systems +at memory speed.</li> + </ul> + </li> <li><a href="http://alpinenow.com/";>Alpine Data Labs</a></li> <li><a href="http://amazon.com";>Amazon</a></li> <li><a href="http://www.art.com/";>Art.com</a> @@ -326,13 +322,12 @@ provide real time video optimization</a></li> </li> <li><a href="https://databricks.com";>Databricks</a> <ul> - <li>Formed by the creators of Apache Spark and Shark, Databricks is working to greatly expand these -open source projects and transform big data analysis in the process. We’re deeply committed to -keeping all work on these systems open source.</li> - <li>We provided a hosted service to run Spark, -<a href="http://www.databricks.com/cloud";>Databricks Cloud</a>, and partner to -<a href="https://databricks.com/support/";>support Apache Spark</a> with other Hadoop and big -data companies.</li> + <li>Formed by the original creators of Apache Spark, Databricks is working to expand the +open source project and simplify big data and machine learning. We’re deeply +committed to keeping all our work on Spark open source.</li> + <li>We provided a <a href="https://www.databricks.com/product";>cloud-optimized platform</a> +to run Spark and ML applications on Amazon Web Services and Azure, as well as a comprehensive +<a href="https://databricks.com/training";>training program</a>.</li> </ul> </li> <li><a href="http://dianping.com";>Dianping.com</a></li> @@ -461,10 +456,14 @@ scatterplots from millions to billions of datapoints.</li> </li> <li><a href="http://www.peerialism.com";>Peerialism</a></li> <li><a href="http://www.planbmedia.com";>PlanBMedia</a></li> - <li><a href="http://prediction.io/";>PredicitionIo</a> - PredictionIO currently offers two engine + <li><a href="http://prediction.io/";>PredicitionIo</a> + <ul> + <li>PredictionIO currently offers two engine templates for Apache Spark MLlib for recommendation (MLlib ALS) and classification (MLlib Naive Bayes). With these templates, you can create a custom predictive engine for production deployment efficiently.</li> + </ul> + </li> <li><a href="http://premise.com";>Premise</a></li> <li><a href="http://www.quantifind.com";>Quantifind</a></li> <li><a href="http://radius.com";>Radius Intelligence</a> @@ -507,6 +506,12 @@ and personalization.</li> </li> <li><a href="http://socialmetrix.com/";>Socialmetrix</a></li> <li><a href="http://www.sohu.com";>Sohu</a></li> + <li><a href="https://dawn.cs.stanford.edu";>Stanford DAWN</a> + <ul> + <li>Research lab on infrastructure for usable machine learning, with multiple research projects that run over or +accelerate Apache Spark.</li> + </ul> + </li> <li><a href="http://www.stratio.com/";>Stratio</a> <ul> <li>Offers an open-source Big Data platform centered around Apache Spark.</li> http://git-wip-us.apache.org/repos/asf/spark-website/blob/e6166eab/site/sitemap.xml ---------------------------------------------------------------------- diff --git a/site/sitemap.xml b/site/sitemap.xml index 85f60bc..2ef0386 100644 --- a/site/sitemap.xml +++ b/site/sitemap.xml @@ -696,27 +696,27 @@ <changefreq>weekly</changefreq> </url> <url> - <loc>https://spark.apache.org/screencasts/</loc> + <loc>https://spark.apache.org/graphx/</loc> <changefreq>weekly</changefreq> </url> <url> - <loc>https://spark.apache.org/streaming/</loc> + <loc>https://spark.apache.org/mllib/</loc> <changefreq>weekly</changefreq> </url> <url> - <loc>https://spark.apache.org/mllib/</loc> + <loc>https://spark.apache.org/streaming/</loc> <changefreq>weekly</changefreq> </url> <url> - <loc>https://spark.apache.org/sql/</loc> + <loc>https://spark.apache.org/news/</loc> <changefreq>weekly</changefreq> </url> <url> - <loc>https://spark.apache.org/graphx/</loc> + <loc>https://spark.apache.org/screencasts/</loc> <changefreq>weekly</changefreq> </url> <url> - <loc>https://spark.apache.org/news/</loc> + <loc>https://spark.apache.org/sql/</loc> <changefreq>weekly</changefreq> </url> <url> --------------------------------------------------------------------- To unsubscribe, e-mail: commits-unsubscr...@spark.apache.org For additional commands, e-mail: commits-h...@spark.apache.org
