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Change #30906
2014-10-30
15:41:29
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1250467269
MapR presents Apache Drill: Self Service Data Exploration
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<p><img src="http://d0.awsstatic.com/Image_Thumbs/emr/third-party-tools/mapr-280.png"></p> <p><a href="https://www.mapr.com/">MapR</a> is presenting this event.</p> <p><br>MapR delivers on the promise of Hadoop with a proven, enterprise-grade Big Data platform that supports many mission-critical and real-time production uses.</p> <p><img src="http://photos1.meetupstatic.com/photos/event/2/3/7/0/600_408309072.jpeg"></p> <p><a href="http://www.thetus.com/">Thetus</a> is our wonderful host! </p> <p><br><img src="http://photos2.meetupstatic.com/photos/event/a/a/e/8/600_419203752.jpeg"></p> <p><a href="http://pulehupizza.com/">Pulehu Pizza</a> are our expert pizza makers!</p> <p><img src="http://photos2.meetupstatic.com/photos/event/2/9/b/0/600_408310672.jpeg"></p> <p><a href="http://talend.com/">Talend</a> is organizing the event.</p> <p><b>Description</b> </p> <p>Time to value is everything. </p> <p>With the emergence of new data sources such as web logs, social media, mobile applications and sensor data, organizations are looking extend BI by providing insights into new areas such as operational performance, product optimization and customer satisfaction. </p> <p>However, traditional data management processes simply don’t work in this new world of big data.</p> <p>Organizations now not only have to manage higher volumes of information, but the data itself arrives at faster rates in real time and is more complex, dynamic than traditional transactional datasets. To be useful, this data must be analyzed in much more shorter intervals than traditional reporting cycles of weeks and months. </p> <p>In this session, we will see how <a href="http://incubator.apache.org/drill/">Apache Drill</a> is driving this audacious goal to bring Self Service data exploration to Hadoop/NoSQL data, by letting users explore any type of data, immediately as it comes in, using the ANSI SQL language/SQL tools they are already familiar with. We'll see Drill in action on a live Hadoop cluster.</p> <p><b>About the Presenter</b></p> <p><a href="https://www.linkedin.com/profile/view?id=11254587">Aditya Kishore</a> is a software engineer at MapR Technologies where he works on Apache HBase, MapR-DB, Hadoop security and most recently Apache Drill. Prior to MapR, Aditya worked at Novell as software engineer on the infrastructure team.</p> <p><img src="http://photos3.meetupstatic.com/photos/event/1/8/7/6/600_427686262.jpeg"></p> <p><b>Agenda</b></p> <p>6:00 – 6:30 Welcome & Networking</p> <p>6:30 – 7:30 Presentation by Aditya Kishore</p> <p>7:30 – 8:30 Networking + drinks and our signature delicious thin crust pizzas!</p> |
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1250467269 |
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996335164 |
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2014-11-19 18:00:00 -0800 |
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MapR presents Apache Drill: Self Service Data Exploration |
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http://www.meetup.com/Hadoop-Portland/events/216654112/ |
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202394642 |
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