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   <media:description>Short intro to the Apache Spark MLlib (ML) module by Robert Hryniewicz</media:description>
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   <media:description>Short intro to the Apache Spark SQL module by Robert Hryniewicz</media:description>
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  <title>Part 1 - Spark Basics - Apache Spark Crash Course Mini-series</title>
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  <published>2017-07-26T10:47:41+00:00</published>
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  <media:group>
   <media:title>Part 1 - Spark Basics - Apache Spark Crash Course Mini-series</media:title>
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   <media:description>Short, high-level overview of Apache Spark by Robert Hryniewicz</media:description>
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 <entry>
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  <title>Pinsight Media: Using Big Data to Capture Consumers in 8 Seconds or Less</title>
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  <author>
   <name>Hortonworks</name>
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  <published>2017-07-11T17:49:02+00:00</published>
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  <media:group>
   <media:title>Pinsight Media: Using Big Data to Capture Consumers in 8 Seconds or Less</media:title>
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   <media:description>From the DataWork Summit 2017, Day 2.

Pinsight Media is the premium source for actionable insights using first-party carrier data. Pinsight uses this data to power business decisions to help brands understand consumers and consumer behavior. Check out their YouTube channel: https://www.youtube.com/channel/UCRZdggOZ1UQvkgvRXdMUeAg

In this video, Kevin McGinnis, CEO at Pinsight Media, presents his keynote, &quot;The 8 Second Data Rule&quot;.

Abstract: Our mobile device gives 24/7 access to news and information. So it’s no wonder the average attention span is 8 seconds or less. Yet most data available to brands today is often weeks or months old, meaning most of it is old news. So how can brands be confident that the data used to target audiences truly reflects who they are as consumers? Pinsight gets behind the lock screen to uncover a brand’s best customer, giving a predictive look at consumers to determine intent to engage. Kevin McGinnis, CEO of Pinsight, will share how his company taps into the power of mobile, analyzing vast volumes of demographic, behavioral and location data from the Sprint network, to fuel confident decisions that move businesses forward.</media:description>
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 <entry>
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  <title>Commoditizing Your Data: Competitive Advantage for the Small Business</title>
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   <name>Hortonworks</name>
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  <published>2017-07-07T20:04:56+00:00</published>
  <updated>2017-07-19T18:30:11+00:00</updated>
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   <media:title>Commoditizing Your Data: Competitive Advantage for the Small Business</media:title>
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   <media:description>From DataWorks Summit 2017 in San Jose, California. To watch the full Day 2 Keynotes, visit https://youtu.be/pTevNY7AjtU

Speaker: Tim Leonard, EVP Operations &amp; CTO of TMW, a Trimble Company
Title: Commoditizing Your Data to Sell - a Transportation Example 

Abstract: As with companies in nearly every industry, transportation enterprises are challenged to make good decisions quickly, providing competitive advantage through innovation and quality-of-service. Making these decisions requires intuition, information and agility; i.e.,the ability to move in the right direction, right now.
 
In many respects, this challenge is more difficult for the transportation industry than it is for many others. While there are certainly major players in transportation, data suggests that 91% of all trucking companies operate fleets of 6 or fewer trucks, and 97% operate 20 or fewer. As a result of this extreme fragmentation, getting solid, timely information to serve as the basis for business decisions is very difficult for many companies.
 
We will look at the way we can commoditize data for the small business to be as competitive as the big guys, like in pricing.

Read more about how Hortonworks customers are innovating in their industries: https://hortonworks.com/customers/</media:description>
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 <entry>
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  <title>Delivering on the Promise of Precision Medicine via Hortonworks</title>
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  <author>
   <name>Hortonworks</name>
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  <published>2017-07-06T00:50:30+00:00</published>
  <updated>2017-07-17T12:21:18+00:00</updated>
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   <media:title>Delivering on the Promise of Precision Medicine via Hortonworks</media:title>
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   <media:description>From DataWorks Summit 2017 in San Jose, California. To watch the full Day 1 Keynote, visit https://youtu.be/slJXLia_c_k

Speaker: Dr. Wade Schulz, Resident Physician and Senior Solutions Architect at Yale-New Haven Health
Title: Enabling Precision Medicine with Healthcare Data Science Platforms
Abstract: From wearable devices to whole genome sequencing, data science and precision medicine are now integral to nearly every area of healthcare. The ability to integrate clinical and laboratory data into a cohesive data lake offers the potential to drive new discoveries. Hear from Dr. Schulz, a physician scientist at Yale School of Medicine, on how Hadoop and other data science technologies will transform healthcare delivery and biomedical research with real-time and prescriptive analytics.

Read more about how healthcare companies leverage the power of Hortonworks here: https://hortonworks.com/solutions/healthcare/</media:description>
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 <entry>
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  <title>Building Real time streaming app in under 10 mins without Writing any code</title>
  <link rel="alternate" href="https://www.youtube.com/watch?v=DjihsIQ7pig"/>
  <author>
   <name>Hortonworks</name>
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  <published>2017-06-23T09:23:57+00:00</published>
  <updated>2017-07-19T19:50:47+00:00</updated>
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   <media:title>Building Real time streaming app in under 10 mins without Writing any code</media:title>
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   <media:description>Imagine if you could build and deploy an end to end complex streaming analytics app on a streaming engine like Storm or Flink that did the following: 

1. Joining Streams

2. Aggregations over Windows (Time or Count based)

3. Complex Event Processing

4. Pattern Matching

5. Model scoring.

Now imagine implementing and deploying this without writing a single line of code in under 10 mins. 


Imagine no more; it is indeed here. In this talk, we will discuss an exciting open source project led by Hortonworks on building and deploying streaming applications using a drag and drop paradigm.

Agenda: 
6:00 - 6:30 - Network and Socialize 
6:30 - 7:00 - Use Case for developing next Gen Streaming Apps and Demo 
7:00 - 7:30 - Streaming Analytics Manager Introduction 
7:30 - 8:00 - Schema Registry</media:description>
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 <entry>
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  <yt:videoId>3gK_1amcCEw</yt:videoId>
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  <title>How Walgreens Boots Alliance Uses Hortonworks for Exceptional Customer Experience</title>
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  <author>
   <name>Hortonworks</name>
   <uri>https://www.youtube.com/channel/UCXFjdDwI_CRTPxlshXWMu7w</uri>
  </author>
  <published>2017-06-21T23:47:57+00:00</published>
  <updated>2017-07-19T01:57:49+00:00</updated>
  <media:group>
   <media:title>How Walgreens Boots Alliance Uses Hortonworks for Exceptional Customer Experience</media:title>
   <media:content url="https://www.youtube.com/v/3gK_1amcCEw?version=3" type="application/x-shockwave-flash" width="640" height="390"/>
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   <media:description>From DataWorks Summit 2017 in San Jose, California.

Gowri Selka of Walgreens Boots Alliance shares how the company leverages BIg Data to improve customer experience. Walgreens has over 100 million customers. They believe success is achieved through understanding and focusing on these customers.

To learn more about Walgreens Boots Alliance, visit: http://www.walgreensbootsalliance.com/

To learn more about how retailers of all sizes leverage Hortonworks to understand customers and drive business, visit: https://hortonworks.com/solutions/retail/</media:description>
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 <entry>
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  <yt:videoId>70Mesk5vuao</yt:videoId>
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  <title>Hortonworks Streaming Analytics Manager</title>
  <link rel="alternate" href="https://www.youtube.com/watch?v=70Mesk5vuao"/>
  <author>
   <name>Hortonworks</name>
   <uri>https://www.youtube.com/channel/UCXFjdDwI_CRTPxlshXWMu7w</uri>
  </author>
  <published>2017-06-20T16:20:32+00:00</published>
  <updated>2017-07-31T11:50:33+00:00</updated>
  <media:group>
   <media:title>Hortonworks Streaming Analytics Manager</media:title>
   <media:content url="https://www.youtube.com/v/70Mesk5vuao?version=3" type="application/x-shockwave-flash" width="640" height="390"/>
   <media:thumbnail url="https://i4.ytimg.com/vi/70Mesk5vuao/hqdefault.jpg" width="480" height="360"/>
   <media:description>Hortonworks Streaming Analytics Manager is an open source tool used to design, develop, deploy and manage streaming analytics applications using a drag drop visualize paradigm.</media:description>
   <media:community>
    <media:starRating count="11" average="5.00" min="1" max="5"/>
    <media:statistics views="608"/>
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 </entry>
 <entry>
  <id>yt:video:y2KLzz8rLSw</id>
  <yt:videoId>y2KLzz8rLSw</yt:videoId>
  <yt:channelId>UCXFjdDwI_CRTPxlshXWMu7w</yt:channelId>
  <title>Create a streaming analytics app in 10min</title>
  <link rel="alternate" href="https://www.youtube.com/watch?v=y2KLzz8rLSw"/>
  <author>
   <name>Hortonworks</name>
   <uri>https://www.youtube.com/channel/UCXFjdDwI_CRTPxlshXWMu7w</uri>
  </author>
  <published>2017-06-16T21:14:17+00:00</published>
  <updated>2017-08-03T08:42:22+00:00</updated>
  <media:group>
   <media:title>Create a streaming analytics app in 10min</media:title>
   <media:content url="https://www.youtube.com/v/y2KLzz8rLSw?version=3" type="application/x-shockwave-flash" width="640" height="390"/>
   <media:thumbnail url="https://i2.ytimg.com/vi/y2KLzz8rLSw/hqdefault.jpg" width="480" height="360"/>
   <media:description>Hortonworks DataFlow goes GA. It includes two new modules - streaming analytics manager and schema registry. This video showcase how app developers, business analysts and devOps team can use HDF3.0 to create, visualize and manage streaming analytics apps.</media:description>
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 <entry>
  <id>yt:video:CERlpy01Em4</id>
  <yt:videoId>CERlpy01Em4</yt:videoId>
  <yt:channelId>UCXFjdDwI_CRTPxlshXWMu7w</yt:channelId>
  <title>E-Payment Leader Klarna on Mitigating Risk through Hortonworks &amp; AI</title>
  <link rel="alternate" href="https://www.youtube.com/watch?v=CERlpy01Em4"/>
  <author>
   <name>Hortonworks</name>
   <uri>https://www.youtube.com/channel/UCXFjdDwI_CRTPxlshXWMu7w</uri>
  </author>
  <published>2017-06-01T03:35:09+00:00</published>
  <updated>2017-06-21T01:38:44+00:00</updated>
  <media:group>
   <media:title>E-Payment Leader Klarna on Mitigating Risk through Hortonworks &amp; AI</media:title>
   <media:content url="https://www.youtube.com/v/CERlpy01Em4?version=3" type="application/x-shockwave-flash" width="640" height="390"/>
   <media:thumbnail url="https://i4.ytimg.com/vi/CERlpy01Em4/hqdefault.jpg" width="480" height="360"/>
   <media:description>Klarna is a leading e-payment platform in Europe. It provides payment services for online storefronts and its core service is to assume stores' claims for payments and handle customer payments. Klarna uses Hortonworks Data Platform (HDP) and Hortonworks DataFlow (HDF) to help drive its deep data mining and AI, and to thus mitigate risk for buyers and sellers. 

Klarna values its partnership with Hortonworks for its close ties to the Apache ecosystem.

To learn more about Klarna, visit: https://www.klarna.com/us

To learn more about how innovative companies in the financial services industry leverage Hortonworks to mitigate risk and maximize opportunity, visit https://hortonworks.com/solutions/financial-services/</media:description>
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 <entry>
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  <yt:videoId>QxXToo5bTN0</yt:videoId>
  <yt:channelId>UCXFjdDwI_CRTPxlshXWMu7w</yt:channelId>
  <title>153 Years of Mission-Critical Data: Why DNV GL Turned to Hortonworks</title>
  <link rel="alternate" href="https://www.youtube.com/watch?v=QxXToo5bTN0"/>
  <author>
   <name>Hortonworks</name>
   <uri>https://www.youtube.com/channel/UCXFjdDwI_CRTPxlshXWMu7w</uri>
  </author>
  <published>2017-06-01T03:18:01+00:00</published>
  <updated>2017-06-23T16:53:56+00:00</updated>
  <media:group>
   <media:title>153 Years of Mission-Critical Data: Why DNV GL Turned to Hortonworks</media:title>
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   <media:thumbnail url="https://i2.ytimg.com/vi/QxXToo5bTN0/hqdefault.jpg" width="480" height="360"/>
   <media:description>Safer. Smarter. Greener. DNV GL is a 153-year-old company in the energy, maritime, and oil &amp; gas sectors. It is dedicated to leveraging Big Data to improve its systems and processes. Through the use of HDP, DNV GL has the freedom to develop new ideas and applications that leverage its Big Data for awesome potential.

To learn more about DNV GL, visit https://www.dnvgl.com/

Learn more about how companies in the energy and oil &amp; gas industries leverage Hortonworks, HDP, and HDF:
https://hortonworks.com/solutions/energy/
https://hortonworks.com/solutions/oil-gas/</media:description>
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