http://git-wip-us.apache.org/repos/asf/incubator-spot/blob/263c2647/how-apache-spot-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/index.html
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+
+                            <header class="article-header entry-header">
+
+                                <h1 class="entry-title single-title" 
itemprop="headline" rel="bookmark">How Apache Spot (Incubating) Helps Create 
Well-Stocked Data Lakes and Catch Powerful Insights</h1>
+
+                                <p class="byline entry-meta vcard">
+
+                                    <time class="updated entry-time" 
datetime="2016-08-08" itemprop="datePublished">
+                                        August 8, 2016
+                                    </time>
+                                    </span>
+                                </p>
+
+                            </header>
+                            <section class="entry-content cf" 
itemprop="articleBody">
+                                <p>
+                                    About four years ago, the era of the Big 
Data analytics began. Paired with advanced analytics, massive volumes of data 
can be culled to not only inform critical decisions, but also to simulate 
sophisticated “what if” scenarios that allow companies to gain competitive 
advantages by generating and predicting different scenarios. For example, a 
financial services company can more accurately determine what other products to 
offer a customer, and in what order, based on a wide variety of data, then use 
advanced analytics to gather insights. Creating a data lake that can be 
effectively used for predictive analytics raises tough questions — what data 
sources should we use?  How should this data be collected and ingested? What 
are the best algorithms to analyze the data, and how should we present these 
results to our decision maker?
+                                </p>
+                                <p>
+                                    Apache Spot can help to solve most of 
these issues. Following is a description of the Apache Spot, which is designed 
to facilitate Big Data analytics scenarios like the financial services 
company’s question about the right product to offer customers.
+                                </p>
+                                <a 
href="../wp-content/uploads/2016/09/ONI_Architecture-Diagram_1300_v4.png"><img 
src="../wp-content/uploads/2016/09/ONI_Architecture-Diagram_1300_v4.png" 
alt="oni_architecture-diagram_1300_v4" width="1300" height="675" 
class="alignnone size-full wp-image-114" 
srcset="../wp-content/uploads/2016/09/ONI_Architecture-Diagram_1300_v4.png 
1300w, 
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300w, 
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768w, 
../wp-content/uploads/2016/09/ONI_Architecture-Diagram_1300_v4-1024x532.png 
1024w" sizes="(max-width: 1300px) 100vw, 1300px" /></a>
+                                <h3><strong>Apache Spot Core 
Components</strong></h3>
+                                <p>
+                                    The Apache Spot Core is composed of three 
main components — data integration (collectors), data store (HDFS here, but 
can also be a non-SQL database) and machine learning.
+                                </p>
+                                <p>
+                                    In this diagram, the top left shows Apache 
Spot Data Sources, which include the collection of the information that will be 
used to create a data lake. The process is simple. Define a pull or push from 
the source of information then capture this information on Apache Spot’s 
“collectors.” The collectors are processes that interpret the information 
that is sent, then write it to the HDFS system in the Apache Spot cluster. The 
HDFS stores the data lake and ensures that resources can grow while remaining 
economical at every size. The Apache Spot algorithms are part of machine 
learning and are used to detect the uncommon information in the data lake.
+                                </p>
+                                <h3><strong>Operational Analytics</strong></h3>
+                                <p>
+                                    As part of operational analytics, Apache 
Spot executes different batch processes that add information to machine 
learning results to provide meaning and context. Using the financial services 
product example, basic customer data could be augmented with information about 
other customers in the same region along with information about which products 
those customers recommended or complained about. Basically, the data scientists 
can “play” with the data using different algorithms to identify insights.
+                                </p>
+                                <h3><strong>Visualizing Results</strong></h3>
+                                <p>
+                                    The Apache Spot GUI displays the results 
that the machine learning algorithms generate. Results are represented such 
that it is easy to identify both the most common things as well as find the 
most suspicious or uncommon information that is part of the data lake.
+                                </p>
+                                <h3><strong>Customizable Open 
Source</strong></h3>
+                                <p>
+                                    Because Apache Spot is an open-source 
project, most of the components depicted here can be modified by the end user.
+                                </p>
+                            </section>
+                            <footer class="article-footer">
+
+                                filed under: <a 
href="../category/uncategorized/" rel="category tag">Uncategorized</a>
+
+                            </footer>
+
+                        </article>
+
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+
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last-col cf" role="complementary">
+
+                        <div id="recent-posts-2" class="widget 
widget_recent_entries">
+                            <h4 class="widgettitle">Recent Posts</h4>
+                            <ul>
+                                <li>
+                                    <a 
href="../jupyter-notebooks-for-data-analysis/">Jupyter Notebooks for Data 
Analysis</a>
+                                </li>
+                                <li>
+                                    <a 
href="../apache-spot-and-cybersecurity-using-netflows-to-detect-threats-to-critical-infrastructure/">Apache
 Spot (Incubating) and Cybersecurity — Using NetFlows to Detect Threats to  
Critical Infrastructure</a>
+                                </li>
+                                <li>
+                                    <a 
href="../how-apache-spot-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/">How
 Apache Spot (Incubating) Helps Create Well-Stocked Data Lakes and Catch 
Powerful Insights</a>
+                                </li>
+                                <li>
+                                    <a 
href="../apache-spot-3-most-asked-questions/">Apache Spot (Incubating): 3 
Most-Asked Questions</a>
+                                </li>
+                            </ul>
+                        </div>
+                        <div id="archives-2" class="widget widget_archive">
+                            <h4 class="widgettitle">Archives</h4>
+                            <ul>
+                                <li>
+                                    <a href='../2016/09/'>September 2016</a>
+                                </li>
+                                <li>
+                                    <a href='../2016/08/'>August 2016</a>
+                                </li>
+                                <li>
+                                    <a href='../2016/03/'>March 2016</a>
+                                </li>
+                            </ul>
+                        </div>
+
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+
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+
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+                        &copy; 2016 Apache Spot.
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http://git-wip-us.apache.org/repos/asf/incubator-spot/blob/263c2647/index.html
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diff --git a/index.html b/index.html
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@@ -354,45 +337,6 @@
                     <p class="btn-margin center">
                         Spot accelerates the development of cybersecurity 
applications by providing a cybersecurity analytics framework.  This means more 
solutions can be created faster. This is because Spot allows organizations to 
focus developing the analytics and visualizations for applications that 
discover cybercrime rather than spending time building systems to ingest, 
integrate, store, and process myriad volumes or varieties of security data.
                     </p>
-                    <!--
-                    <div class="quotes">
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-                    </div>
-                    <div class="table-cell">
-                    <p>...that allows me to see and customize the data and 
scripts to my enviroment. I want control over how the solution works.”</p>    
                                </div>
-                    </div>
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-                    <div class="table-cell quote-man">
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-                    <h3>Junior Analyst</h3>
-                    </div>
-                    <div class="table-cell">
-                    <p>...that automatically alerts me to actionable 
suspicious events and ways to optimize my network in a timely fashion. Help me 
investigate these events and tell the story across stakeholders in my 
organization.”
-                    </p>                                    </div>
-                    </div>
-                    </div>
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-                    </div>
-                    <div class="table-cell">
-                    <p>...tells me the story of what happened in a way I can 
understand so I can make decisions as a result.”
-                    </p>                                    </div>
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-                    </div>
-
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                 </div>
             </div>
@@ -447,43 +391,6 @@
 
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-                    <!--
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-                    <img src="wp-content/themes/oni/library/images/two.png" 
alt="" />
-                    </div>
-                    <div class="table-cell">
-                    <p>Human input helps the system evolve. <strong>Quickly 
eliminate false positives from the lineup.</strong></p>                         
       </div>
-                    </div>
-                    </div>
-
-                    <div class="table">
-                    <div class="table-row">
-                    <div class="table-cell number">
-                    <img src="wp-content/themes/oni/library/images/three.png" 
alt="" />
-                    </div>
-                    <div class="table-cell">
-                    <p>And make every item on the list <strong>worth your 
time</strong> to investigate.</p>                                </div>
-                    </div>
-                    </div>
-
-                    </div>  -->
-
                 </div>
 
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class="icon-envelope"></span></a><a href="https://twitter.com/onihadoop"; 
target="_blank"><span class="icon-twitter"></span></a>
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                     <p>

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+
+                            <header class="article-header entry-header">
+
+                                <h1 class="entry-title single-title" 
itemprop="headline" rel="bookmark">Jupyter Notebooks for Data Analysis</h1>
+
+                                <p class="byline entry-meta vcard">
+
+                                    <time class="updated entry-time" 
datetime="2016-09-22" itemprop="datePublished">
+                                        September 22, 2016
+                                    </time>
+                                    </span>
+                                </p>
+
+                            </header>
+                            <section class="entry-content cf" 
itemprop="articleBody">
+                                <p>
+                                    <strong>Why Does Apache Spot Include 
iPython notebooks? </strong>
+                                </p>
+                                <p>
+                                    The project team wants Apache Spot to be a 
versatile tool that can be used by anyone. This means that data scientists and 
developers need to be able to query and handle the source data to find all the 
information they need for their decision making. The iPython Notebook is an 
appropriate platform for easy data exploration. One of its biggest advantages 
is that it provides parallel and distributed computing to enable code execution 
and debugging in an interactive environment – thus the ‘i’ in iPython.
+                                </p>
+                                <p>
+                                    The iPython notebook is a web based 
interactive computational environment that provides access to the Python shell. 
While iPython notebooks were originally designed to work with the Python 
language, they support a number of other programming languages, including Ruby, 
Scala, Julia, R, Go, C, C++, Java and Perl. There are also multiple additional 
packages that can be used to get the most out of this highly-customizable tool.
+                                </p>
+                                <p>
+                                    Starting on version 4.0, most notebook 
functionalities are now part of the Project Jupyter, while iPython remains as 
the kernel to work with Python code in the notebooks.
+                                </p>
+                                <img 
src="../wp-content/uploads/2016/10/iPython-1.png" alt="ipython" width="361" 
height="107" class="aligncenter size-full wp-image-140" 
srcset="../wp-content/uploads/2016/10/iPython-1.png 361w, 
../wp-content/uploads/2016/10/iPython-1-300x89.png 300w" sizes="(max-width: 
361px) 100vw, 361px" />
+                                <p>
+                                    <strong>IPython with Apache Spot for 
Network Threat Detection</strong>
+                                </p>
+                                <p>
+                                    <em>NOTE:  This is not intended to be a 
step-by-step tutorial on how to code a threat analysis in Apache Spot, but more 
like an introduction on how to approach the suspicions of a security 
breach.</em>
+                                </p>
+                                <p>
+                                    Although machine learning (ML) will do 
most of the work detecting anomalies in the traffic, Apache Spot also includes 
two notebook templates that can get you started on this. The 
<em>Threat_Investigation_master.ipynb</em> is designed to query the raw data 
table to find all connections in a day that are related to any threat you 
select – even connections that were not necessarily flagged as suspicious by 
ML on a first run. This gives us the chance to get a new data subset and here 
is where the fun begins.
+                                </p>
+                                <p>
+                                    If you suspect of a specific type of 
attack in your network, you can get the whole story by answering the Five 
‘W’s.
+                                </p>
+                                <p>
+                                    <strong><em>What? </em></strong>
+                                </p>
+                                <p>
+                                    Maybe there’s been an increase in the 
logs collected by the system, which indicates abnormal amounts of communication 
in your network. Or, the amount of POST requests in your network have risen 
overnight. This is the mystery that needs to be solved by researching through 
the anomalies previously detected by ML.
+                                </p>
+                                <p>
+                                    <strong><em>Who?</em></strong>
+                                </p>
+                                <p>
+                                    Assuming you have a network context, you 
can identify the name of the infected machine inside the network, as well as 
the name of the IP or DNS on the other side of the connection (if it is a known 
host). If you don’t have a network context or are using DHCP, this can be a 
little tricky to detect using only Netflow logs. But, that’s where DNS and 
Proxy logs, come in handy. Including a network context file with Apache Spot is 
really simple and can go a long way when identifying a threat.
+                                </p>
+                                <p>
+                                    <strong><em>When?</em></strong>
+                                </p>
+                                <p>
+                                    To have a broader visibility on the 
attack, you can customize the queries on the Threat investigation notebook to 
review the data through a wider time lapse – instead of just checking through 
the current day. With this, you could find an increase of a certain type of 
requests to one (or many) URIs and predict its future behavior.
+                                </p>
+                                <p>
+                                    <strong><em>Where?</em></strong>
+                                </p>
+                                <p>
+                                    When working only with DNS, having a 
destination URL might not say much about where your information is going to, 
but Apache Spot allows you to connect with a geolocation database to identify 
the location of the suspected attackers IP. Taking advantage of this option, 
you can visually locate the other end of the connection on a map. You might 
find that it’s pointing to a country banned by your company, indicating a 
leak.
+                                </p>
+                                <p>
+                                    <strong><em>Why?</em></strong>
+                                </p>
+                                <p>
+                                    This answer to “why” will depend 
highly on the result of the analysis. For instance, an excessive amount of POST 
requests from one machine inside the network to an unidentified URI can 
indicate a data mining attack. Tracing back to patient zero, you can find that 
this could have originated with a phishing email, malicious software installed 
by an employee or a one-time visitor’s infected machine that connected to 
your network.
+                                </p>
+                                <p>
+                                    <strong>How to Get Answers to the Five Ws 
Questions</strong>
+                                </p>
+                                <p>
+                                    All of the previous questions can be 
answered by looking at the raw data collected. Although performing elaborated 
queries directly to your database can seem tempting, this type of analysis with 
Hive, or even Impala, can be very time consuming. A better approach would be to 
use Pandas to read and transform your dataset into a relational structured 
dataframe. This lets you work with as if it were an offline structured 
relational database.
+                                </p>
+                                <p>
+                                    Once you have your desired results and 
data subsets, you can use MatplotLib to easily graph your findings. (We cover 
this subject in more depth in another post.) Another advantage of the notebook 
is that you can download it as HTML or a PDF file to store locally and use it 
in a presentation – or just keep it for future reference.
+                                </p>
+                                <p>
+                                    <strong>Wrap Up</strong>
+                                </p>
+                                <p>
+                                    This post was meant to be just a brief 
introduction of how you can use iPython notebooks in Apache Spot to perform 
further data analysis and include it our executive report (in addition to the 
already included Story board). Although this is not the only way you can do 
this, it is a very interactive and fun way to do it. You’ll also see that the 
overall processing time is very short – thanks to the iPython notebook task 
parallelism ability.
+                                </p>
+                                <p>
+                                    We want to hear from YOU! Have you used 
iPython notebooks before? How do you feel about having this tool in Apache 
Spot? If you’re interested in further data analysis through interactive 
charts, a new post is coming soon on D3 and jQuery data visualization. Also, 
check back soon to read more on this and other Cybersecurity subjects.
+                                </p>
+                            </section>
+                            
+                            <footer class="article-footer">
+            
+                              filed under: <a href="../category/data-science/" 
rel="category tag">Data Science</a>, <a href="../category/ipython-notebooks/" 
rel="category tag">Ipython Notebooks</a>, <a 
href="../category/threat-analysis-tools/" rel="category tag">Threat Analysis 
Tools</a>
+                              
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+
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+                            <h4 class="widgettitle">Recent Posts</h4>
+                            <ul>
+                                <li>
+                                    <a 
href="../jupyter-notebooks-for-data-analysis/">Jupyter Notebooks for Data 
Analysis</a>
+                                </li>
+                                <li>
+                                    <a 
href="../apache-spot-and-cybersecurity-using-netflows-to-detect-threats-to-critical-infrastructure/">Apache
 Spot (Incubating) and Cybersecurity — Using NetFlows to Detect Threats to  
Critical Infrastructure</a>
+                                </li>
+                                <li>
+                                    <a 
href="../how-apache-spot-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/">How
 Apache Spot (Incubating) Helps Create Well-Stocked Data Lakes and Catch 
Powerful Insights</a>
+                                </li>
+                                <li>
+                                    <a 
href="../apache-spot-3-most-asked-questions/">Apache Spot (Incubating): 3 
Most-Asked Questions</a>
+                                </li>
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+                            <h4 class="widgettitle">Archives</h4>
+                            <ul>
+                                <li>
+                                    <a href='../2016/09/'>September 2016</a>
+                                </li>
+                                <li>
+                                    <a href='../2016/08/'>August 2016</a>
+                                </li>
+                                <li>
+                                    <a href='../2016/03/'>March 2016</a>
+                                </li>
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src='/wp-includes/js/wp-embed.min.js'></script>
+
+    </body>
+
+</html>
+<!-- end of site. what a ride! -->

http://git-wip-us.apache.org/repos/asf/incubator-spot/blob/263c2647/tag/github/feed/index.html
----------------------------------------------------------------------
diff --git a/tag/github/feed/index.html b/tag/github/feed/index.html
index f385614..71bcefa 100644
--- a/tag/github/feed/index.html
+++ b/tag/github/feed/index.html
@@ -18,9 +18,9 @@
        <sy:updateFrequency>1</sy:updateFrequency>
        
        <item>
-               <title>Apache Spot: Three Most-Asked Questions</title>
-               
<link>http://spot.incubator.apache.org/open-network-insight-3-most-asked-questions/</link>
-               
<comments>http://spot.incubator.apache.org/open-network-insight-3-most-asked-questions/#respond</comments>
+               <title>Apache Spot (Incubating): Three Most-Asked 
Questions</title>
+               
<link>http://spot.incubator.apache.org/apache-spot-3-most-asked-questions/</link>
+               
<comments>http://spot.incubator.apache.org/apache-spot-3-most-asked-questions/#respond</comments>
                <pubDate>Tue, 29 Mar 2016 05:48:19 +0000</pubDate>
                <dc:creator><![CDATA[oni-admin]]></dc:creator>
                                <category><![CDATA[Security 
Analytics]]></category>
@@ -29,7 +29,7 @@
                <category><![CDATA[open source]]></category>
 
                <guid 
isPermaLink="false">http://spot.incubator.apache.org/?p=62</guid>
-               <description><![CDATA[While this is not the first blog post 
about Apache Spot, it is the first one by a creator of the solution. As a 
security data scientist in Intel&#8217;s Data Center Group, I joined a small 
team to start thinking about solving really hard problems in cloud analytics. 
The team grew, and out of that...  <a class="excerpt-read-more" 
href="http://spot.incubator.apache.org/open-network-insight-3-most-asked-questions/";
 title="Read Apache Spot: Three Most-Asked Questions">Read more 
&#187;</a>]]></description>
+               <description><![CDATA[While this is not the first blog post 
about Apache Spot, it is the first one by a creator of the solution. As a 
security data scientist in Intel&#8217;s Data Center Group, I joined a small 
team to start thinking about solving really hard problems in cloud analytics. 
The team grew, and out of that...  <a class="excerpt-read-more" 
href="http://spot.incubator.apache.org/apache-spot-3-most-asked-questions/"; 
title="Read Apache Spot: Three Most-Asked Questions">Read more 
&#187;</a>]]></description>
                                <content:encoded><![CDATA[<p>While this is not 
the first blog post about Apache Spot, it is the first one by a creator of the 
solution. As a security data scientist in Intel&#8217;s Data Center Group, I 
joined a small team to start thinking about solving really hard problems in 
cloud analytics. The team grew, and out of that effort, came Apache Spot. Since 
we started talking about the project, these are the three questions I am asked 
the most.</p>
 <p><strong>What Is Apache Spot?</strong><br />
 Apache Spot is an open source, flow and packet analytics solution built on 
Hadoop. It combines big data processing, at-scale machine learning, and unique 
security analytics to put potential threats in front of defenders. While I am a 
data scientist today, I was a security investigator just a few years ago. I 
wanted to develop a solution that would put new tools and technology in play 
for defenders, but without requiring them to walk away from security and get a 
math degree.</p>
@@ -40,11 +40,11 @@ Apache Spot is an open source, flow and packet analytics 
solution built on Hadoo
 <p>At Intel, I have worked in IT, for a security product company (McAfee), and 
in the Data Center Group. Intel IT was an early pioneer of the concept of 
proactive investigations to protect intellectual property. McAfee (now Intel 
Security Group) has a broad customer base in the realms of network, endpoint, 
and content security, to name only a few. And the Intel Data Center group has 
strategic partnerships with Cloudera and Accenture, as well as some pretty cool 
analytics efforts of their own. Add the performance benefits we achieve with 
Intel Architecture, especially the Intel MPI Library and Intel Math Kernel 
Library, and it certainly makes sense to me.</p>
 <p><strong>Why Open Source?</strong></p>
 <p>I learned from my earlier efforts in security analytics, that to invite 
collaboration from academia, the public sector, and the private sector, open 
source software is an excellent choice. We are now seeking to build a community 
of developers, data scientists, and security enthusiasts to grow Apache Spot 
into something we can all be proud of. We have also chosen an Apache software 
license, so that it can enrich commercial software offerings as well.</p>
-<p>The greatest thing for me since we announced at RSA is to hear OTHER people 
talk about Apache Spot (formerly Open Network Insight or ONI), here are some of 
my favorites, from <a 
href="http://vision.cloudera.com/open-network-insight-changing-infosec-data-science-forever/";
 target="_blank">a Data Scientist @ eBay </a>, <a 
href="https://newsroom.accenture.com/news/accenture-introduces-the-accenture-cyber-intelligence-platform-to-help-organizations-continuously-predict-detect-and-combat-cyber-attacks.htm";
 target="_blank">a Security Provider</a>, and <a 
href="http://vision.cloudera.com/adaptive-security-at-big-data-scale-for-next-generation-digital-security/";
 target="_blank">a Big Data company</a>.</p>
+<p>The greatest thing for me since we announced at RSA is to hear OTHER people 
talk about Apache Spot (formerly Open Network Insight or ONI), here are some of 
my favorites, from <a 
href="http://vision.cloudera.com/apache-spot-changing-infosec-data-science-forever/";
 target="_blank">a Data Scientist @ eBay </a>, <a 
href="https://newsroom.accenture.com/news/accenture-introduces-the-accenture-cyber-intelligence-platform-to-help-organizations-continuously-predict-detect-and-combat-cyber-attacks.htm";
 target="_blank">a Security Provider</a>, and <a 
href="http://vision.cloudera.com/adaptive-security-at-big-data-scale-for-next-generation-digital-security/";
 target="_blank">a Big Data company</a>.</p>
 <p>Fork us on Github!</p>
 <p>Grant Babb</p>
 ]]></content:encoded>
-                       
<wfw:commentRss>http://spot.incubator.apache.org/open-network-insight-3-most-asked-questions/feed/</wfw:commentRss>
+                       
<wfw:commentRss>http://spot.incubator.apache.org/apache-spot-3-most-asked-questions/feed/</wfw:commentRss>
                <slash:comments>0</slash:comments>
                </item>
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http://git-wip-us.apache.org/repos/asf/incubator-spot/blob/263c2647/tag/github/index.html
----------------------------------------------------------------------
diff --git a/tag/github/index.html b/tag/github/index.html
index a084a84..1d36a96 100644
--- a/tag/github/index.html
+++ b/tag/github/index.html
@@ -12,7 +12,7 @@
 
         <meta http-equiv="X-UA-Compatible" content="IE=edge">
 
-        <title>Apache Spot  github</title>
+        <title>Github</title>
 
         <meta name="HandheldFriendly" content="True">
         <meta name="MobileOptimized" content="320">
@@ -126,24 +126,6 @@
         <script type='text/javascript' 
src='../../wp-content/themes/oni/library/js/jquery.meanmenu.js'></script>
         <link rel='https://api.w.org/' href='../../wp-json/' />
 
-        <script>
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'//www.google-analytics.com/analytics.js', 'ga');
-
-                       ga('create', 'UA-75955621-1', 'auto');
-                       ga('send', 'pageview');
-
-        </script>
     </head>
 
     <body class="archive tag tag-github tag-6" itemscope 
itemtype="http://schema.org/WebPage";>
@@ -161,16 +143,16 @@
                     <nav role="navigation" itemscope 
itemtype="http://schema.org/SiteNavigationElement";>
                         <ul id="menu-main-menu" class="nav top-nav cf">
                             <li id="menu-item-129" class="menu-item 
menu-item-type-custom menu-item-object-custom menu-item-129">
-                                <a target="_blank" 
href="https://github.com/Open-Network-Insight/open-network-insight";>Get 
Started</a>
+                                <a target="_blank" 
href="https://github.com/Open-Network-Insight/apache-spot";>Get Started</a>
                             </li>
                             <li id="menu-item-5" class="menu-item 
menu-item-type-custom menu-item-object-custom menu-item-5">
-                                <a target="_blank" 
href="https://github.com/Open-Network-Insight/open-network-insight#if-you-want-all-of-the-oni-code-at-once-just-clone-it";>Download</a>
+                                <a target="_blank" 
href="https://github.com/Open-Network-Insight/apache-spot#if-you-want-all-of-the-oni-code-at-once-just-clone-it";>Download</a>
                             </li>
                             <li id="menu-item-130" class="menu-item 
menu-item-type-custom menu-item-object-custom menu-item-130">
-                                <a target="_blank" 
href="https://github.com/Open-Network-Insight/open-network-insight#contributing-to-oni";>Contribute</a>
+                                <a target="_blank" 
href="https://github.com/Open-Network-Insight/apache-spot#contributing-to-oni";>Contribute</a>
                             </li>
                             <li id="menu-item-106" class="menu-item 
menu-item-type-custom menu-item-object-custom menu-item-106">
-                                <a target="_blank" 
href="https://github.com/Open-Network-Insight/open-network-insight/wiki";>Wiki</a>
+                                <a target="_blank" 
href="https://github.com/Open-Network-Insight/apache-spot/wiki";>Wiki</a>
                             </li>
                             <li id="menu-item-13" class="menu-item 
menu-item-type-post_type menu-item-object-page current_page_parent 
menu-item-13">
                                 <a href="../../blog/">Blog</a>
@@ -192,11 +174,11 @@
 
                         <h1 class="page-title">Tag: github</h1>
 
-                        <article id="post-62" class="cf post-62 post type-post 
status-publish format-standard hentry category-security-analytics tag-github 
tag-open-network-insight tag-open-source" role="article">
+                        <article id="post-62" class="cf post-62 post type-post 
status-publish format-standard hentry category-security-analytics tag-github 
tag-apache-spot tag-open-source" role="article">
 
                             <header class="entry-header article-header">
 
-                                <h3 class="h2 entry-title"><a 
href="../../open-network-insight-3-most-asked-questions/" rel="bookmark" 
title="Apache Spot: Three Most-Asked Questions">Apache Spot: Three Most-Asked 
Questions</a></h3>
+                                <h3 class="h2 entry-title"><a 
href="../../apache-spot-3-most-asked-questions/" rel="bookmark" title="Apache 
Spot: Three Most-Asked Questions">Apache Spot (Incubating): Three Most-Asked 
Questions</a></h3>
                                 <p class="byline entry-meta vcard">
                                     <time class="updated entry-time" 
datetime="2016-03-29" itemprop="datePublished">
                                         March 29, 2016
@@ -209,7 +191,7 @@
                             <section class="entry-content cf">
 
                                 <p>
-                                    While this is not the first blog post 
about Apache Spot, it is the first one by a creator of the solution. As a 
security data scientist in Intel&#8217;s Data Center Group, I joined a small 
team to start thinking about solving really hard problems in cloud analytics. 
The team grew, and out of that&#8230; <a class="excerpt-read-more" 
href="../../open-network-insight-3-most-asked-questions/" title="Read Apache 
Spot: Three Most-Asked Questions">Read more &raquo;</a>
+                                    While this is not the first blog post 
about Apache Spot, it is the first one by a creator of the solution. As a 
security data scientist in Intel&#8217;s Data Center Group, I joined a small 
team to start thinking about solving really hard problems in cloud analytics. 
The team grew, and out of that&#8230; <a class="excerpt-read-more" 
href="../../apache-spot-3-most-asked-questions/" title="Read Apache Spot: Three 
Most-Asked Questions">Read more &raquo;</a>
                                 </p>
 
                             </section>
@@ -228,13 +210,16 @@
                             <h4 class="widgettitle">Recent Posts</h4>
                             <ul>
                                 <li>
-                                    <a 
href="../../open-network-insight-oni-and-cybersecurity-using-netflows-to-detect-threats-to-critical-infrastructure/">Apache
 Spot and Cybersecurity — Using NetFlows to Detect Threats to  Critical 
Infrastructure</a>
+                                    <a 
href="../../jupyter-notebooks-for-data-analysis/">Jupyter Notebooks for Data 
Analysis</a>
+                                </li>
+                                <li>
+                                    <a 
href="../../apache-spot-and-cybersecurity-using-netflows-to-detect-threats-to-critical-infrastructure/">Apache
 Spot (Incubating) and Cybersecurity — Using NetFlows to Detect Threats to  
Critical Infrastructure</a>
                                 </li>
                                 <li>
-                                    <a 
href="../../how-open-network-insight-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/">How
 Apache Spot Helps Create Well-Stocked Data Lakes and Catch Powerful 
Insights</a>
+                                    <a 
href="../../how-apache-spot-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/">How
 Apache Spot (Incubating) Helps Create Well-Stocked Data Lakes and Catch 
Powerful Insights</a>
                                 </li>
                                 <li>
-                                    <a 
href="../../open-network-insight-3-most-asked-questions/">Apache Spot: Three 
Most-Asked Questions</a>
+                                    <a 
href="../../apache-spot-3-most-asked-questions/">Apache Spot (Incubating): 3 
Most-Asked Questions</a>
                                 </li>
                             </ul>
                         </div>
@@ -242,6 +227,9 @@
                             <h4 class="widgettitle">Archives</h4>
                             <ul>
                                 <li>
+                                    <a href='../../2016/09/'>September 2016</a>
+                                </li>
+                                <li>
                                     <a href='../../2016/08/'>August 2016</a>
                                 </li>
                                 <li>

http://git-wip-us.apache.org/repos/asf/incubator-spot/blob/263c2647/tag/open-network-insight/feed/index.html
----------------------------------------------------------------------
diff --git a/tag/open-network-insight/feed/index.html 
b/tag/open-network-insight/feed/index.html
index e9db2f3..b30ebf2 100644
--- a/tag/open-network-insight/feed/index.html
+++ b/tag/open-network-insight/feed/index.html
@@ -8,8 +8,8 @@
        >
 
 <channel>
-       <title>open network insight &#8211; Apache Spot</title>
-       <atom:link 
href="http://spot.incubator.apache.org/tag/open-network-insight/feed/"; 
rel="self" type="application/rss+xml" />
+       <title>Open Network Insight &#8211; Apache Spot</title>
+       <atom:link 
href="http://spot.incubator.apache.org/tag/apache-spot/feed/"; rel="self" 
type="application/rss+xml" />
        <link>http://spot.incubator.apache.org</link>
        <description></description>
        <lastBuildDate>Tue, 27 Sep 2016 18:37:15 +0000</lastBuildDate>
@@ -18,9 +18,9 @@
        <sy:updateFrequency>1</sy:updateFrequency>
        
        <item>
-               <title>Apache Spot: Three Most-Asked Questions</title>
-               
<link>http://spot.incubator.apache.org/open-network-insight-3-most-asked-questions/</link>
-               
<comments>http://spot.incubator.apache.org/open-network-insight-3-most-asked-questions/#respond</comments>
+               <title>Apache Spot (Incubating): Three Most-Asked 
Questions</title>
+               
<link>http://spot.incubator.apache.org/apache-spot-3-most-asked-questions/</link>
+               
<comments>http://spot.incubator.apache.org/apache-spot-3-most-asked-questions/#respond</comments>
                <pubDate>Tue, 29 Mar 2016 05:48:19 +0000</pubDate>
                <dc:creator><![CDATA[oni-admin]]></dc:creator>
                                <category><![CDATA[Security 
Analytics]]></category>
@@ -29,7 +29,7 @@
                <category><![CDATA[open source]]></category>
 
                <guid 
isPermaLink="false">http://spot.incubator.apache.org/?p=62</guid>
-               <description><![CDATA[While this is not the first blog post 
about Apache Spot, it is the first one by a creator of the solution. As a 
security data scientist in Intel&#8217;s Data Center Group, I joined a small 
team to start thinking about solving really hard problems in cloud analytics. 
The team grew, and out of that...  <a class="excerpt-read-more" 
href="http://spot.incubator.apache.org/open-network-insight-3-most-asked-questions/";
 title="Read Apache Spot: Three Most-Asked Questions">Read more 
&#187;</a>]]></description>
+               <description><![CDATA[While this is not the first blog post 
about Apache Spot, it is the first one by a creator of the solution. As a 
security data scientist in Intel&#8217;s Data Center Group, I joined a small 
team to start thinking about solving really hard problems in cloud analytics. 
The team grew, and out of that...  <a class="excerpt-read-more" 
href="http://spot.incubator.apache.org/apache-spot-3-most-asked-questions/"; 
title="Read Apache Spot: Three Most-Asked Questions">Read more 
&#187;</a>]]></description>
                                <content:encoded><![CDATA[<p>While this is not 
the first blog post about Apache Spot, it is the first one by a creator of the 
solution. As a security data scientist in Intel&#8217;s Data Center Group, I 
joined a small team to start thinking about solving really hard problems in 
cloud analytics. The team grew, and out of that effort, came Apache Spot. Since 
we started talking about the project, these are the three questions I am asked 
the most.</p>
 <p><strong>What Is Apache Spot?</strong><br />
 Apache Spot is an open source, flow and packet analytics solution built on 
Hadoop. It combines big data processing, at-scale machine learning, and unique 
security analytics to put potential threats in front of defenders. While I am a 
data scientist today, I was a security investigator just a few years ago. I 
wanted to develop a solution that would put new tools and technology in play 
for defenders, but without requiring them to walk away from security and get a 
math degree.</p>
@@ -40,11 +40,11 @@ Apache Spot is an open source, flow and packet analytics 
solution built on Hadoo
 <p>At Intel, I have worked in IT, for a security product company (McAfee), and 
in the Data Center Group. Intel IT was an early pioneer of the concept of 
proactive investigations to protect intellectual property. McAfee (now Intel 
Security Group) has a broad customer base in the realms of network, endpoint, 
and content security, to name only a few. And the Intel Data Center group has 
strategic partnerships with Cloudera and Accenture, as well as some pretty cool 
analytics efforts of their own. Add the performance benefits we achieve with 
Intel Architecture, especially the Intel MPI Library and Intel Math Kernel 
Library, and it certainly makes sense to me.</p>
 <p><strong>Why Open Source?</strong></p>
 <p>I learned from my earlier efforts in security analytics, that to invite 
collaboration from academia, the public sector, and the private sector, open 
source software is an excellent choice. We are now seeking to build a community 
of developers, data scientists, and security enthusiasts to grow Apache Spot 
into something we can all be proud of. We have also chosen an Apache software 
license, so that it can enrich commercial software offerings as well.</p>
-<p>The greatest thing for me since we announced at RSA is to hear OTHER people 
talk about Apache Spot (formerly Open Network Insight or ONI), here are some of 
my favorites, from <a 
href="http://vision.cloudera.com/open-network-insight-changing-infosec-data-science-forever/";
 target="_blank">a Data Scientist @ eBay </a>, <a 
href="https://newsroom.accenture.com/news/accenture-introduces-the-accenture-cyber-intelligence-platform-to-help-organizations-continuously-predict-detect-and-combat-cyber-attacks.htm";
 target="_blank">a Security Provider</a>, and <a 
href="http://vision.cloudera.com/adaptive-security-at-big-data-scale-for-next-generation-digital-security/";
 target="_blank">a Big Data company</a>.</p>
+<p>The greatest thing for me since we announced at RSA is to hear OTHER people 
talk about Apache Spot (formerly Open Network Insight or ONI), here are some of 
my favorites, from <a 
href="http://vision.cloudera.com/apache-spot-changing-infosec-data-science-forever/";
 target="_blank">a Data Scientist @ eBay </a>, <a 
href="https://newsroom.accenture.com/news/accenture-introduces-the-accenture-cyber-intelligence-platform-to-help-organizations-continuously-predict-detect-and-combat-cyber-attacks.htm";
 target="_blank">a Security Provider</a>, and <a 
href="http://vision.cloudera.com/adaptive-security-at-big-data-scale-for-next-generation-digital-security/";
 target="_blank">a Big Data company</a>.</p>
 <p>Fork us on Github!</p>
 <p>Grant Babb</p>
 ]]></content:encoded>
-                       
<wfw:commentRss>http://spot.incubator.apache.org/open-network-insight-3-most-asked-questions/feed/</wfw:commentRss>
+                       
<wfw:commentRss>http://spot.incubator.apache.org/apache-spot-3-most-asked-questions/feed/</wfw:commentRss>
                <slash:comments>0</slash:comments>
                </item>
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http://git-wip-us.apache.org/repos/asf/incubator-spot/blob/263c2647/tag/open-network-insight/index.html
----------------------------------------------------------------------
diff --git a/tag/open-network-insight/index.html 
b/tag/open-network-insight/index.html
index 0b20aed..64c6c02 100644
--- a/tag/open-network-insight/index.html
+++ b/tag/open-network-insight/index.html
@@ -12,7 +12,7 @@
 
         <meta http-equiv="X-UA-Compatible" content="IE=edge">
 
-        <title>Apache Spot  open network insight</title>
+        <title>Open Network Insight</title>
 
         <meta name="HandheldFriendly" content="True">
         <meta name="MobileOptimized" content="320">
@@ -33,7 +33,7 @@
         <link rel='dns-prefetch' href='//s.w.org' />
         <link rel="alternate" type="application/rss+xml" title="Apache Spot 
&raquo; Feed" href="../../feed/" />
         <link rel="alternate" type="application/rss+xml" title="Apache Spot 
&raquo; Comments Feed" href="../../comments/feed/" />
-        <link rel="alternate" type="application/rss+xml" title="Apache Spot 
&raquo; open network insight Tag Feed" 
href="../../tag/open-network-insight/feed/" />
+        <link rel="alternate" type="application/rss+xml" title="Apache Spot 
&raquo; open network insight Tag Feed" href="../../tag/apache-spot/feed/" />
         <script type="text/javascript">
                        window._wpemojiSettings = {
                                "baseUrl" : 
"https:\/\/s.w.org\/images\/core\/emoji\/2\/72x72\/",
@@ -126,27 +126,9 @@
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src='../../wp-content/themes/oni/library/js/jquery.meanmenu.js'></script>
         <link rel='https://api.w.org/' href='../../wp-json/' />
 
-        <script>
-                       (function(i, s, o, g, r, a, m) {
-                               i['GoogleAnalyticsObject'] = r;
-                               i[r] = i[r] ||
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-    <body class="archive tag tag-open-network-insight tag-7" itemscope 
itemtype="http://schema.org/WebPage";>
+    <body class="archive tag tag-apache-spot tag-7" itemscope 
itemtype="http://schema.org/WebPage";>
 
         <div id="container">
 
@@ -161,16 +143,16 @@
                     <nav role="navigation" itemscope 
itemtype="http://schema.org/SiteNavigationElement";>
                         <ul id="menu-main-menu" class="nav top-nav cf">
                             <li id="menu-item-129" class="menu-item 
menu-item-type-custom menu-item-object-custom menu-item-129">
-                                <a target="_blank" 
href="https://github.com/Open-Network-Insight/open-network-insight";>Get 
Started</a>
+                                <a target="_blank" 
href="https://github.com/Open-Network-Insight/apache-spot";>Get Started</a>
                             </li>
                             <li id="menu-item-5" class="menu-item 
menu-item-type-custom menu-item-object-custom menu-item-5">
-                                <a target="_blank" 
href="https://github.com/Open-Network-Insight/open-network-insight#if-you-want-all-of-the-oni-code-at-once-just-clone-it";>Download</a>
+                                <a target="_blank" 
href="https://github.com/Open-Network-Insight/apache-spot#if-you-want-all-of-the-oni-code-at-once-just-clone-it";>Download</a>
                             </li>
                             <li id="menu-item-130" class="menu-item 
menu-item-type-custom menu-item-object-custom menu-item-130">
-                                <a target="_blank" 
href="https://github.com/Open-Network-Insight/open-network-insight#contributing-to-oni";>Contribute</a>
+                                <a target="_blank" 
href="https://github.com/Open-Network-Insight/apache-spot#contributing-to-oni";>Contribute</a>
                             </li>
                             <li id="menu-item-106" class="menu-item 
menu-item-type-custom menu-item-object-custom menu-item-106">
-                                <a target="_blank" 
href="https://github.com/Open-Network-Insight/open-network-insight/wiki";>Wiki</a>
+                                <a target="_blank" 
href="https://github.com/Open-Network-Insight/apache-spot/wiki";>Wiki</a>
                             </li>
                             <li id="menu-item-13" class="menu-item 
menu-item-type-post_type menu-item-object-page current_page_parent 
menu-item-13">
                                 <a href="../../blog/">Blog</a>
@@ -192,11 +174,11 @@
 
                         <h1 class="page-title">Tag: open network insight</h1>
 
-                        <article id="post-62" class="cf post-62 post type-post 
status-publish format-standard hentry category-security-analytics tag-github 
tag-open-network-insight tag-open-source" role="article">
+                        <article id="post-62" class="cf post-62 post type-post 
status-publish format-standard hentry category-security-analytics tag-github 
tag-apache-spot tag-open-source" role="article">
 
                             <header class="entry-header article-header">
 
-                                <h3 class="h2 entry-title"><a 
href="../../open-network-insight-3-most-asked-questions/" rel="bookmark" 
title="Apache Spot: Three Most-Asked Questions">Apache Spot: Three Most-Asked 
Questions</a></h3>
+                                <h3 class="h2 entry-title"><a 
href="../../apache-spot-3-most-asked-questions/" rel="bookmark" title="Apache 
Spot: Three Most-Asked Questions">Apache Spot (Incubating): Three Most-Asked 
Questions</a></h3>
                                 <p class="byline entry-meta vcard">
                                     <time class="updated entry-time" 
datetime="2016-03-29" itemprop="datePublished">
                                         March 29, 2016
@@ -209,7 +191,7 @@
                             <section class="entry-content cf">
 
                                 <p>
-                                    While this is not the first blog post 
about Apache Spot, it is the first one by a creator of the solution. As a 
security data scientist in Intel&#8217;s Data Center Group, I joined a small 
team to start thinking about solving really hard problems in cloud analytics. 
The team grew, and out of that&#8230; <a class="excerpt-read-more" 
href="../../open-network-insight-3-most-asked-questions/" title="Read Apache 
Spot: Three Most-Asked Questions">Read more &raquo;</a>
+                                    While this is not the first blog post 
about Apache Spot, it is the first one by a creator of the solution. As a 
security data scientist in Intel&#8217;s Data Center Group, I joined a small 
team to start thinking about solving really hard problems in cloud analytics. 
The team grew, and out of that&#8230; <a class="excerpt-read-more" 
href="../../apache-spot-3-most-asked-questions/" title="Read Apache Spot: Three 
Most-Asked Questions">Read more &raquo;</a>
                                 </p>
 
                             </section>
@@ -228,13 +210,16 @@
                             <h4 class="widgettitle">Recent Posts</h4>
                             <ul>
                                 <li>
-                                    <a 
href="../../open-network-insight-oni-and-cybersecurity-using-netflows-to-detect-threats-to-critical-infrastructure/">Apache
 Spot and Cybersecurity — Using NetFlows to Detect Threats to  Critical 
Infrastructure</a>
+                                    <a 
href="../../jupyter-notebooks-for-data-analysis/">Jupyter Notebooks for Data 
Analysis</a>
+                                </li>
+                                <li>
+                                    <a 
href="../../apache-spot-and-cybersecurity-using-netflows-to-detect-threats-to-critical-infrastructure/">Apache
 Spot (Incubating) and Cybersecurity — Using NetFlows to Detect Threats to  
Critical Infrastructure</a>
                                 </li>
                                 <li>
-                                    <a 
href="../../how-open-network-insight-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/">How
 Apache Spot Helps Create Well-Stocked Data Lakes and Catch Powerful 
Insights</a>
+                                    <a 
href="../../how-apache-spot-helps-create-well-stocked-data-lakes-and-catch-powerful-insights/">How
 Apache Spot (Incubating) Helps Create Well-Stocked Data Lakes and Catch 
Powerful Insights</a>
                                 </li>
                                 <li>
-                                    <a 
href="../../open-network-insight-3-most-asked-questions/">Apache Spot: Three 
Most-Asked Questions</a>
+                                    <a 
href="../../apache-spot-3-most-asked-questions/">Apache Spot (Incubating): 3 
Most-Asked Questions</a>
                                 </li>
                             </ul>
                         </div>
@@ -242,6 +227,9 @@
                             <h4 class="widgettitle">Archives</h4>
                             <ul>
                                 <li>
+                                    <a href='../../2016/09/'>September 2016</a>
+                                </li>
+                                <li>
                                     <a href='../../2016/08/'>August 2016</a>
                                 </li>
                                 <li>

http://git-wip-us.apache.org/repos/asf/incubator-spot/blob/263c2647/tag/open-source/feed/index.html
----------------------------------------------------------------------
diff --git a/tag/open-source/feed/index.html b/tag/open-source/feed/index.html
index a971588..42cd1c0 100644
--- a/tag/open-source/feed/index.html
+++ b/tag/open-source/feed/index.html
@@ -18,7 +18,7 @@
        <sy:updateFrequency>1</sy:updateFrequency>
        
        <item>
-               <title>Apache Spot: Three Most-Asked Questions</title>
+               <title>Apache Spot (Incubating): Three Most-Asked 
Questions</title>
                
<link>http://spot.incubator.apache.org/open-network-insight-3-most-asked-questions/</link>
                
<comments>http://spot.incubator.apache.org/open-network-insight-3-most-asked-questions/#respond</comments>
                <pubDate>Tue, 29 Mar 2016 05:48:19 +0000</pubDate>

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