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author | Andy Konwinski <andrew@apache.org> | 2014-04-21 18:53:37 +0000 |
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committer | Andy Konwinski <andrew@apache.org> | 2014-04-21 18:53:37 +0000 |
commit | fd77adadc4edd7f315363dde7793d9604f316907 (patch) | |
tree | 9ce610ce414e4eb38acfa85eeb4058afc7a5f392 /site | |
parent | 9b2208823451712551372c7408d0cb5d6e0ae6c0 (diff) | |
download | spark-website-fd77adadc4edd7f315363dde7793d9604f316907.tar.gz spark-website-fd77adadc4edd7f315363dde7793d9604f316907.tar.bz2 spark-website-fd77adadc4edd7f315363dde7793d9604f316907.zip |
move screencasts to top of video section, remove duplicate link to external blog, add training video to summit video section, tweak some wording
Diffstat (limited to 'site')
-rw-r--r-- | site/documentation.html | 38 |
1 files changed, 18 insertions, 20 deletions
diff --git a/site/documentation.html b/site/documentation.html index 66235cd17..5988fdc3e 100644 --- a/site/documentation.html +++ b/site/documentation.html @@ -168,16 +168,24 @@ <li><a href="/docs/0.6.2/">Spark 0.6.2</a></li> </ul> -<p>Read these documents to get started with Spark, as well as with the built-in components -(<a href="/docs/latest/mllib-guide.html">MLlib</a> and -<a href="/docs/latest/streaming-programming-guide.html">Spark Streaming</a>).</p> +<p>The documentation linked to above covers getting started with Spark, as well the built-in components <a href="/docs/latest/mllib-guide.html">MLlib</a>, +<a href="/docs/latest/streaming-programming-guide.html">Spark Streaming</a>, and <a href="/docs/latest/graphx-guide.html">GraphX</a>.</p> -<p>In addition, this page lists some external resources for learning Spark.</p> +<p>In addition, this page lists other resources for learning Spark.</p> <h3>Videos</h3> -<p>See the <a href="http://www.youtube.com/channel/UCRzsq7k4-kT-h3TDUBQ82-w">Apache Spark YouTube Channel</a> for videos from Spark events. There are separate <a href="http://www.youtube.com/channel/UCRzsq7k4-kT-h3TDUBQ82-w/playlists">playlists</a> for different video types. Below, we provide direct links to videos.</p> +<p>See the <a href="http://www.youtube.com/channel/UCRzsq7k4-kT-h3TDUBQ82-w">Apache Spark YouTube Channel</a> for videos from Spark events. There are separate <a href="http://www.youtube.com/channel/UCRzsq7k4-kT-h3TDUBQ82-w/playlists">playlists</a> for videos of different topics. Besides browsing through playlists, you can also find direct links to videos below.</p> -<h4>Spark Summits</h4> +<h4>Screencast Tutorial Videos</h4> +<ul> + <li><a href="/screencasts/1-first-steps-with-spark.html">Screencast 1: First Steps with Spark</a></li> + <li><a href="/screencasts/2-spark-documentation-overview.html">Screencast 2: Spark Documentation Overview</a></li> +<li><a href="/screencasts/3-transformations-and-caching.html">Screencast 3: Transformations and Caching</a></li> +<li><a href="/screencasts/4-a-standalone-job-in-spark.html">Screencast 4: A Spark Standalone Job in Scala</a></li> + +</ul> + +<h4>Spark Summit Videos</h4> <ul> <li>Videos from Spark Summit 2013, San Francisco, Dec 2-3 2013 <ul> @@ -185,19 +193,11 @@ <li><a href="http://www.youtube.com/playlist?list=PL-x35fyliRwjXj33QvAXN0Vlx0gc6u0je">YouTube playist of all Keynotes</a></li> <li><a href="http://www.youtube.com/playlist?list=PL-x35fyliRwiNcKwIkDEQZBejiqxEJ79U">YouTube playist of Track A (Spark Applications)</a></li> <li><a href="http://www.youtube.com/playlist?list=PL-x35fyliRwiNcKwIkDEQZBejiqxEJ79U">YouTube playist of Track B (Spark Deployment, Scheduling & Perf, Related projects)</a></li> + <li><a href="http://www.youtube.com/playlist?list=PL-x35fyliRwjR1Umntxz52zv3EcKpbzCp">YouTube playist of the Training Day (i.e. the 2nd day of the summit)</a></li> </ul> </li> </ul> -<h4>Screencast Tutorials</h4> -<ul> - <li><a href="/screencasts/1-first-steps-with-spark.html">Screencast 1: First Steps with Spark</a></li> - <li><a href="/screencasts/2-spark-documentation-overview.html">Screencast 2: Spark Documentation Overview</a></li> -<li><a href="/screencasts/3-transformations-and-caching.html">Screencast 3: Transformations and Caching</a></li> -<li><a href="/screencasts/4-a-standalone-job-in-spark.html">Screencast 4: A Spark Standalone Job in Scala</a></li> - -</ul> - <h4>Meetup Talk Videos</h4> <ul> <li><a href="http://www.youtube.com/watch?v=ju2OQEXqONU&list=PL-x35fyliRwiP3YteXbnhk0QGOtYLBT3a">Adding Native SQL Support to Spark with Catalyst</a> (<a href="http://files.meetup.com/3138542/Spark%20SQL%20Meetup%20-%204-8-2012.pdf">slides</a>) by Michael Armbrust, at Tagged in San Francisco, 2014-04-08</li> @@ -215,11 +215,10 @@ <p><a name="summit"></a></p> <h3>Training Materials</h3> <ul> - <li><a href="http://spark-summit.org/2013">Spark Summit 2013</a> contained a training session for which - <a href="http://spark-summit.org/summit-2013/#agendapluginwidget-5">slides and videos</a> are available for free online. - The session also included <a href="http://spark-summit.org/2013/exercises/">exercises</a> that you can run on Amazon EC2.</li> + <li>The 2nd day of <a href="http://spark-summit.org/2013">Spark Summit 2013</a> was a training session, and you can find the slides and videos from that inline in <a href="http://spark-summit.org/summit-2013/#agendapluginwidget-5">the training day agenda</a>. + The session also included <a href="http://spark-summit.org/2013/exercises/">exercises</a> that you can walk through yourself, which will guide you through launching a Spark cluster on EC2 and using various Spark components to analyze real data.</li> <li>The <a href="https://amplab.cs.berkeley.edu/">UC Berkeley AMPLab</a> regularly hosts training camps on Spark and related projects. -Slides, videos and EC2-based exercises are available online: +Slides, videos and EC2-based exercises from each of these are available online: <ul> <li><a href="http://ampcamp.berkeley.edu/4/">AMP Camp 4</a> (Strata Santa Clara, Feb 2014) — focus on BlinkDB, MLlib, GraphX, Tachyon</li> <li><a href="http://ampcamp.berkeley.edu/3/">AMP Camp 3</a> (Berkeley, CA, Aug 2013)</li> @@ -233,7 +232,6 @@ Slides, videos and EC2-based exercises are available online: <ul> <li><a href="http://engineering.ooyala.com/blog/using-parquet-and-scrooge-spark">Using Parquet and Scrooge with Spark</a> — Scala-friendly Parquet and Avro usage tutorial from Ooyala's Evan Chan</li> - <li><a href="http://engineering.ooyala.com/blog/using-parquet-and-scrooge-spark">Using Parquet and Scrooge with Spark</a> — Scala-friendly Parquet and Avro usage tutorial from Ooyala's Evan Chan</li> <li><a href="http://codeforhire.com/2014/02/18/using-spark-with-mongodb/">Using Spark with MongoDB</a> — by Sampo Niskanen from Wellmo</li> <li><a href="http://spark-summit.org/2013">Spark Summit 2013</a> — contained 30 talks about Spark use cases, available as slides and videos</li> <li><a href="http://www.pwendell.com/2013/09/28/declarative-streams.html">Sampling Twitter Using Declarative Streams</a> — Spark Streaming tutorial by Patrick Wendell</li> |