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exercises/exercise_using_the_cloud_to_summarize_and_visualize_data/index.html

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+        <li class="md-nav__item">
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+    <span class="md-ellipsis">
+      Hints
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 </ul>
 <h2 id="due-dates">Due dates</h2>
 <p>The due date will be discussed in the email but they are flexible.   </p>
+<h2 id="hints">Hints</h2>
+<p>Things you may find helpful when completing this exercise: 
+1. See this link [Mounting an SMB File Share: Windows] (<a href="https://learn.microsoft.com/en-us/azure/storage/files/storage-how-to-use-files-windows">https://learn.microsoft.com/en-us/azure/storage/files/storage-how-to-use-files-windows</a>) for help creating the file share and mounting it to your VM
+1. During the tutorial you will need to sign into your fileshare through the VM. NOTE: This is not your Azure username and password. The username is the name of your fileshare and the password is a fileshare key. This can be found by clicking the "Access Keys" tab on the fileshare menu. Press show on the top key and copy that.
+1. Make sure you are working in your fileshare network location, not your C Drive. This can be shown in File Explorer under My PC.
+1. If you run into trouble specifying the path to the hourly_weather.csv file, just move the file into the Python folder. Then you don't have to specify the path, just type the file name.
+1. In order to see the PNG files in your Azure account, make sure to create a snapshot in your file share. (In your file share: Click snapshots, and add Snapshot. The resulting snapshot should include all the files you have in your "Z" (fileshare) drive on the VM)</p>
 
 
 

sessions/05_big_data/index.html

@@ -1584,10 +1584,12 @@ <h2 id="videos">Videos</h2>
 <p><em>These are detailed explanations of the commercial version of Apache Spark from the Databricks company, and exactly how to create and use a Databricks cluster on Azure to run Python code</em></p>
 <h2 id="readings">Readings</h2>
 <p>Slide Deck: <a href="../../topics/big_data_intro_for_researchers.html">Overview of Big Data with Spark for Researchers</a></p>
-<p><a href="https://michiganstate.sharepoint.com/sites/MSUICERCloudFellowship2/Shared%20Documents/General/Materials/TOOLS%20AND%20TECHNOLOGIES%20FOR%20THE%20IMPLEMENTATION%20OF%20BIG%20DATA_Self_Vorhis%20CH10%20DO%20NOT%20DISTRIBUTE.pdf">Tools And Technologies For The Implementation Of Big Data, Richard J. Self, Dave Voorhis</a>Chapter 10 from "Applications of Big Data for National Security." <a href="http://dx.doi.org/10.1016/B978-0-12-801967-2.00010-0">http://dx.doi.org/10.1016/B978-0-12-801967-2.00010-0</a> 
-Copyright © 2015 Elsevier Inc. All rights reserved.</p>
-<p><em>PDF copy, for use by Cloud Computing Fellowship only (link is access restricted).  The book is available as an <a href="http://catalog.lib.msu.edu/record=b11321901~S39a">electronic copy from the MSU Library</a></em></p>
-<p>While the book itself is really not of interest to us, this particular chapter is one of the better and more readable introductions to "big data" I've seen, written for professionals like yourselves.    Dr. Self studies ethics and big data for University of Derby in the UK. </p>
+<p><a href="https://michiganstate.sharepoint.com/sites/MSUICERCloudFellowship2/Shared%20Documents/General/Materials/TOOLS%20AND%20TECHNOLOGIES%20FOR%20THE%20IMPLEMENTATION%20OF%20BIG%20DATA_Self_Vorhis%20CH10%20DO%20NOT%20DISTRIBUTE.pdf">Tools And Technologies For The Implementation Of Big Data, Richard J. Self, Dave Voorhis</a> Chapter 10 from "Applications of Big Data for National Security." Copyright © 2015 Elsevier Inc. All rights reserved.</p>
+<ol>
+<li>If the previous link did not work, click this link and enter your MSU email. It will give you access to the full chapter: <a href="http://dx.doi.org/10.1016/B978-0-12-801967-2.00010-0">http://dx.doi.org/10.1016/B978-0-12-801967-2.00010-0</a> </li>
+<li>PDF copy, for use by Cloud Computing Fellowship only (link is access restricted).</li>
+<li>While the book itself is really not of interest to us, this particular chapter is one of the better and more readable introductions to "big data" I've seen, written for professionals like yourselves.    Dr. Self studies ethics and big data for University of Derby in the UK. </li>
+</ol>
 <p><strong>Textbook: Cloud Computing for Science and Engineering</strong></p>
 <ul>
 <li>