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Big Data diagram and icons visuals editable in PowerPoint <ul> <li>Big Data definition 3V, 4V: Volume, Velocity, Variety, Veracity</li> <li>Big Data New Business Opportunities: Mobile, Social media ...</li> <li>Big Data Technologies: Software and Hardware</li> <li>Data sizes table: Small, Large, Big data</li> <li>fully editable style, size and colors</li> </ul>

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<h5>Content:<br> Big Data visuals toolbox - diagrams and icons editable in PowerPoint </h5> <p> Package content: <ul> <li>Big Data definition: Gartner's 3V (Volume, Velocity, Variety) Extended 4Vs of Big Data: Volume, Velocity, Variety, Veracity</li> <li>Big Data New Business Opportunities: New products (Localization, Mobile, Social Media products ...) <br> Cheaper operations (SaaS applications in the cloud e.g. Salesforce, Google docs, Microsoft 365 ...) </li> <li>Big Data Technologies: Software <ul><li> Data Analytics & Visualizations, BI (Qlikview, Tableau, SAS, GoodData) </li><li> Databases (Oracle, IBM, Cloudera, HortonWorks, EMC2, AWS, Windows Azure) </li><li> Technologies (Hadoop, MapReduce, NoSQL, Apache HBase, Spark) </li> </ul> <li>Big Data Technologies: Hardware <li>Data sizes table: Small, Large, Big data</li> <li>Icons in handdrawn scribble style graphics. </li> <li>Icons for light background and dark background </li> </ul> </p>

<b>Fully editable in PowerPoint</b> set of vector shapes fully editable by using built-in PowerPoint tools, including <ul> <li> changing color of the icon filling and its outline </li> <li> adding shadows </li> <li> changing shape and size, rotating, flipping the object </li> <li> putting shapes behind or on top of text </li> </ul> See editing demonstration in <a href="http://www.infodiagram.com/howto_video.html"> our HowTo Videos</a>.

<h5> About Big Data </h5> <ul> <li> Big Data definition ( <a target="_blank" rel="nofollow" href="http://en.wikipedia.org/wiki/Big_data">Wikipedia</a> ) </li> <li>News on Big Data, Analytics, Data Mining <a target="_blank" rel="nofollow" href="http://www.kdnuggets.com/">KDNuggets</a> </li> <li> IBM Big data page: <a target="_blank" rel="nofollow" href="http://www.ibmbigdatahub.com/">Big Data Hub</a> </li> </ul> <h5>Authors</h5> <ul> <li> Topic contributor: Peter Zvirinsky </li>

	<li> Contact: 
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