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single-sc-sessions postid-111 ztwp slug-kafka-ans-samza custom-header header-image header-full-width content-sidebar"><div id="wrap"> <div class="logo" id="geekout-header-logo"> <a title="GeekOUT EE 2015" href="/"> <div class="logo_geekout" style="background:url('//static.zeroturnaround.com/img/logos/logo_geekout.png') no-repeat; background-size:contain; max-width:100%; width:164px; height:40px; margin-top:11px;"></div> </a> </div> <div id="nav"><div class="wrap"><ul id="menu-main-menu" class="menu genesis-nav-menu menu-primary"><li id="menu-item-21" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-21"><a href="/speakers/">Speakers</a></li> <li id="menu-item-17" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-17"><a href="/schedule/">Schedule</a></li> <li id="menu-item-16" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-16"><a href="/info/">Info</a></li> <li id="menu-item-266" class="menu-item 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out </span> </a></div><div class="clearfix"></div></div></div><div id="inner"><div id="content-sidebar-wrap"><div id="content" class="hfeed"><div class="post-111 sc-sessions type-sc-sessions status-publish hentry sc-session-grouping-day-2 entry"><h1 class="entry-title">Going realtime with Kafka and Samza at Improve Digital</h1> <div class="entry-content"><p>by <a href="/speakers/garry-turkington/">Garry Turkington</a>  </p><div style="font-style:italic"><p>Friday, 12 June 2015 11:30 @ Room 1</p> </div><p>At Improve Digital we capture significant data volumes that we have traditionally processed with batch-based tools on Hadoop. But as demands for reduced latency between data generation and availability grew we looked to start processing data in near-realtime. We have adopted Apache Kafka as our central system for data collection and distribution. Atop this we use Apache Samza to implement stream-based processing.</p> <p>This presentation will introduce Kafka and Samza within the context of our adoption of the technologies. We will discuss the architectural challenges and opportunities brought about by incorporating Kafka and Samza and how we integrate them with our broader infrastructure. We will also look at some of our specific use cases – particularly streaming aggregation, alerting and machine learning – and describe some of the algorithmic approaches we have adopted.</p> </div></div></div><div id="sidebar" class="sidebar widget-area"><div id="text-3" class="widget widget_text"><div class="widget-wrap"> <div class="textwidget"><a class="twitter-timeline" href="https://twitter.com/GeekOutEE" data-widget-id="344836070640328704">Tweets by @GeekOutEE</a> <script>!function(d,s,id){var js,fjs=d.getElementsByTagName(s)[0],p=/^http:/.test(d.location)?'http':'https';if(!d.getElementById(id)){js=d.createElement(s);js.id=id;js.src=p+"://platform.twitter.com/widgets.js";fjs.parentNode.insertBefore(js,fjs);}}(document,"script","twitter-wjs");</script></div> </div></div> </div></div></div><div id="footer-widgets" class="footer-widgets"><div class="wrap"><div class="footer-widgets-1 widget-area"><div id="connect-widget-2" class="widget widget_connect"><div class="widget-wrap"><p><a href="https://twitter.com/GeekOutEE" class="btn-twitter">Twitter</a> <a href="https://www.facebook.com/GeekOut.ee" class="btn-facebook">Facebook</a> </p></div></div> </div></div></div><div id="footer" class="footer"><div class="wrap"><div class="creds"><p><p>© 2015 Geekout EE. 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