10/11 Finding Cost Efficiencies with Spark & AWS


Details
****We are on for Oct. 11th. We look forward to seeing you then!
**** PRE-REGISTER HERE: https://goo.gl/forms/QplPhw0VI40cPfGJ3 Please complete this simple form to expedite the sign-in process.
We will be on the 5th Floor.
Please join us, HatchIT and Gravy Analytics for this FREE event to hear how a Spark and AWS architecture offers great opportunities for cost savings.
*** ABSTRACT
Gravy Analytics is a venture-backed location intelligence company. In support of our data product and service offerings, we process billions of signals against millions of place and event-related data objects that are created and maintained by Gravy. The data is handled by several sequential Spark jobs that are coordinated by an orchestration layer. To do this processing in a cost-effective manner, we use AWS EMR Spot instances. AWS Spot instances provide significant cost savings but present their own unique challenges. We’ll explore these challenges in detail, and review how we’ve addressed these and other technical obstacles that arise with sudden changes to our incoming data supply.
*** SPEAKERS
Guy DeCorte - Bio
Guy is Founder and Chief Technology Officer at Gravy Analytics. As CTO, Guy leads a talented team of professionals developing innovative data products and related services. This includes processing billions of signals a day, acquiring, improving and managing millions of high value data assets, and delivering real-time and batch data products. He has spent much of his career working with engineering teams to develop new software and data products at leading companies, including CSC and AT&T. Guy splits his time between Central Oregon and Northern Virginia. His interests range from anthropology & history to research on machine learning techniques that emulate the way humans learn from 0-5 years old.
Nathan Case – Bio
Nathan is the lead engineer for Gravy Analytics’ Core Platform team. In this role, Nathan is responsible
for processing the billions of signal and device-related information received each day in support of Gravy’s data products and real-time services. To do so, Nathan and his team rely on large Spark jobs, Java, Scala, S3, DynamoDB, Snowflake, MySQL, data mining, and geospatial and heuristic algorithms. A key member of the Gravy team since 2014, Nathan has helped to architect, expand and optimize Gravy's core platform. He also works closely with the team charged with creating strategies underpinning Gravy's continued growth in data and product offerings. Outside of the office, Nathan’s many interests include 3D printing, amphibians and fish, cooking, and woodworking.
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SPARK + AI SUMMIT EUROPE DISCOUNT CODE
As you know Spark + AI Summit Europe 2018 will be at the ExCeL Exhibition Centre, London, from Oct 2-4th. We are providing members of your meetup organization a special 20% discount code DCMU
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10/11 Finding Cost Efficiencies with Spark & AWS