Self-Service Data Exploration Using Apache Drill by David Kewley of MapR

Abstract:-
Time to value is everything. 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. However, traditional data management processes simply don’t work in this new world of big data. 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. In this session, we will see how Apache Drill 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.

Bio:-
David Kewley - Senior Field Enablement Engineer, MapR. David is a Senior Engineer on the Field Enablement team at MapR, where he provides tools, support, and mentorship to both MapR field personnel and customers. His experience working with MapR customers, as well as running large-scale HPC clusters earlier in his career, gives him a unique perspective on what it takes to make a big data solution actually work. Previously, David was the HPC Delivery Technical Lead for Dell, where he provided technical leadership to Dell’s HPC Delivery team, improved technical execution of HPC cluster deployments, and drove improvement in both technical and business processes. Prior to that, he worked as a Dell HPC Resident Consultant, helping a customer run a 1300-node Dell HPC cluster. David holds an MS in Computation and Neural Systems from Caltech, and a BS in Physics from the University of Rochester.

Velocify is hosting this event in their "Great Room" Conference Room. the location is 100 N Sepulveda Blvd, El Segundo, CA.

Park in the garages below(Use any of the bldgs - 100, 200 or 222). Validation is provided. Please bring your parking ticket for the validation. Visitor entrance is on Sepulveda and Grant.

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