diff options
| -rw-r--r-- | documentation.md | 17 | ||||
| -rw-r--r-- | site/documentation.html | 16 |
2 files changed, 19 insertions, 14 deletions
diff --git a/documentation.md b/documentation.md index d9378a64a..0024e48dd 100644 --- a/documentation.md +++ b/documentation.md @@ -91,16 +91,11 @@ In addition to the videos listed below, you can also view <a href="http://www.me </ul> -<h3>Hands-On Exercises</h3> - -<ul> - <li><a href="http://spark-summit.org/2013/exercises/">Hands-on exercises</a> are available online from Spark Summit 2013. These exercises let you launch a small EC2 cluster, load a dataset, and query it with Spark, Shark, Spark Streaming, and MLlib.</li> -</ul> - <a name="summit"></a> <h3>Training Materials</h3> <ul> - <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>. + <li><a href="http://spark-summit.org/2014/training">Training materials and exercises from Spark Summit 2014</a> are available online. These include videos and slides of talks as well as exercises you can run on your laptop. Topics include Spark core, tuning and debugging, Spark SQL, Spark Streaming, GraphX and MLlib.</li> + <li><a href="http://spark-summit.org/2013">Spark Summit 2013</a> included a training session, with slides and videos available on <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 from each of these are available online: @@ -113,6 +108,14 @@ Slides, videos and EC2-based exercises from each of these are available online: </li> </ul> + +<h3>Hands-On Exercises</h3> + +<ul> + <li><a href="http://spark-summit.org/2014/training">Hands-on exercises from Spark Summit 2014</a>. These let you install Spark on your laptop and learn basic concepts, Spark SQL, Spark Streaming, GraphX and MLlib.</li> + <li><a href="http://spark-summit.org/2013/exercises/">Hands-on exercises from Spark Summit 2013</a>. These exercises let you launch a small EC2 cluster, load a dataset, and query it with Spark, Shark, Spark Streaming, and MLlib.</li> +</ul> + <h3>External Tutorials, Blog Posts, and Talks</h3> <ul> diff --git a/site/documentation.html b/site/documentation.html index 6fb801e14..1b0796e3d 100644 --- a/site/documentation.html +++ b/site/documentation.html @@ -240,16 +240,11 @@ </ul> -<h3>Hands-On Exercises</h3> - -<ul> - <li><a href="http://spark-summit.org/2013/exercises/">Hands-on exercises</a> are available online from Spark Summit 2013. These exercises let you launch a small EC2 cluster, load a dataset, and query it with Spark, Shark, Spark Streaming, and MLlib.</li> -</ul> - <p><a name="summit"></a></p> <h3>Training Materials</h3> <ul> - <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>. + <li><a href="http://spark-summit.org/2014/training">Training materials and exercises from Spark Summit 2014</a> are available online. These include videos and slides of talks as well as exercises you can run on your laptop. Topics include Spark core, tuning and debugging, Spark SQL, Spark Streaming, GraphX and MLlib.</li> + <li><a href="http://spark-summit.org/2013">Spark Summit 2013</a> included a training session, with slides and videos available on <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 from each of these are available online: @@ -262,6 +257,13 @@ Slides, videos and EC2-based exercises from each of these are available online: </li> </ul> +<h3>Hands-On Exercises</h3> + +<ul> + <li><a href="http://spark-summit.org/2014/training">Hands-on exercises from Spark Summit 2014</a>. These let you install Spark on your laptop and learn basic concepts, Spark SQL, Spark Streaming, GraphX and MLlib.</li> + <li><a href="http://spark-summit.org/2013/exercises/">Hands-on exercises from Spark Summit 2013</a>. These exercises let you launch a small EC2 cluster, load a dataset, and query it with Spark, Shark, Spark Streaming, and MLlib.</li> +</ul> + <h3>External Tutorials, Blog Posts, and Talks</h3> <ul> |