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Posted to commits@datalab.apache.org by dg...@apache.org on 2021/02/09 14:58:37 UTC

[incubator-datalab] branch gh-pages updated: added new templates for promotion page (#1067)

This is an automated email from the ASF dual-hosted git repository.

dgnatyshyn pushed a commit to branch gh-pages
in repository https://gitbox.apache.org/repos/asf/incubator-datalab.git


The following commit(s) were added to refs/heads/gh-pages by this push:
     new a3f1443  added new templates for promotion page (#1067)
a3f1443 is described below

commit a3f144376783486abefe3737825359cacfcc21cc
Author: Yurii Tykhun <yu...@ukr.net>
AuthorDate: Tue Feb 9 16:58:29 2021 +0200

    added new templates for promotion page (#1067)
    
    Co-authored-by: Yurii Tykhun <ty...@gmail.com>
---
 index.html | 13 ++++++++-----
 1 file changed, 8 insertions(+), 5 deletions(-)

diff --git a/index.html b/index.html
index 3d65f6f..e75aa67 100755
--- a/index.html
+++ b/index.html
@@ -700,13 +700,16 @@
                                 <figcaption>
                                     <h3>Leverage the power of analytical tools</h3>
                                     <ul class="list-points">
+                                        <li>Apache Zeppelin</li>
+                                        <li>Deep Learning</li>
                                         <li>Jupyter</li>
-                                        <li>Zeppelin</li>
+                                        <li>Jupyter with TensorFlow</li>
+                                        <li>JupyterLab</li>
                                         <li>RStudio</li>
-                                        <li>Tensor Flow</li>
-                                        <li>Deep Learning</li>
-                                        <li>Add computational power to your jobs by deploying elastic Spark cluster on
-                                            memory, storage, compute, GPU optimized instances</li>
+                                        <li>RStudio with TensorFlow (implemented on AWS)</li>
+                                        <li>Superset (implemented on GCP)</li>
+                                        <li>Add computational power to your jobs by deploying Standalone Apache Spark cluster/EMR 
+                                            (AWS)/Dataproc (GCP) on memory, storage, compute, GPU optimized instances</li>
                                     </ul>
                                 </figcaption>
                             </div>


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