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author | Matei Zaharia <matei@databricks.com> | 2016-08-03 19:12:55 -0700 |
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committer | Matei Zaharia <matei@databricks.com> | 2016-08-03 19:12:55 -0700 |
commit | 9700f2f4afe566412bdb73b443b3aad99b375af1 (patch) | |
tree | 34e05bf37c3951c1308db06673e982e0cae20509 /site/releases/spark-release-1-4-0.html | |
parent | 612383440bfa727a9980cf83460b8f32df8d666c (diff) | |
download | spark-website-9700f2f4afe566412bdb73b443b3aad99b375af1.tar.gz spark-website-9700f2f4afe566412bdb73b443b3aad99b375af1.tar.bz2 spark-website-9700f2f4afe566412bdb73b443b3aad99b375af1.zip |
Trademarks page and some FAQ cleanup
Diffstat (limited to 'site/releases/spark-release-1-4-0.html')
-rw-r--r-- | site/releases/spark-release-1-4-0.html | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/site/releases/spark-release-1-4-0.html b/site/releases/spark-release-1-4-0.html index c5ba82024..e6e1f0286 100644 --- a/site/releases/spark-release-1-4-0.html +++ b/site/releases/spark-release-1-4-0.html @@ -250,7 +250,7 @@ Python coverage. MLlib also adds several new algorithms.</p> </ul> <h3 id="spark-streaming">Spark Streaming</h3> -<p>Spark streaming adds visual instrumentation graphs and significantly improved debugging information in the UI. It also enhances support for both Kafka and Kinesis.</p> +<p>Spark streaming adds visual instrumentation graphs and significantly improved debugging information in the UI. It also enhances support for both Kafka and Kinesis. </p> <ul> <li><a href="https://issues.apache.org/jira/browse/SPARK-7602">SPARK-7602</a>: Visualization and monitoring in the streaming UI including batch drill down (<a href="https://issues.apache.org/jira/browse/SPARK-6796">SPARK-6796</a>, <a href="https://issues.apache.org/jira/browse/SPARK-6862">SPARK-6862</a>)</li> @@ -276,7 +276,7 @@ Python coverage. MLlib also adds several new algorithms.</p> <h4 id="test-partners">Test Partners</h4> -<p>Thanks to The following organizations, who helped benchmark or integration test release candidates: <br /> Intel, Palantir, Cloudera, Mesosphere, Huawei, Shopify, Netflix, Yahoo, UC Berkeley and Databricks.</p> +<p>Thanks to The following organizations, who helped benchmark or integration test release candidates: <br /> Intel, Palantir, Cloudera, Mesosphere, Huawei, Shopify, Netflix, Yahoo, UC Berkeley and Databricks. </p> <h4 id="contributors">Contributors</h4> <ul> @@ -529,7 +529,7 @@ Python coverage. MLlib also adds several new algorithms.</p> <footer class="small"> <hr> - Apache Spark, Spark, Apache, and the Spark logo are <a href="https://www.apache.org/foundation/marks/">trademarks</a> of + Apache Spark, Spark, Apache, and the Spark logo are <a href="/trademarks.html">trademarks</a> of <a href="http://www.apache.org">The Apache Software Foundation</a>. </footer> |