Apache: Big Data Europe 2016
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Tuesday, November 15 • 11:00 - 11:50
Building a Robust Analytics Platform with an Open-Source Stack - Dao Mi & Alex Kass, DigitalOcean

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As modern enterprises migrate to microservice-centric cloud architecture, it has become imperative to build a new data analysis framework to handle äóñ often in real time - the event-based data these services produce. For this presentation, we will demonstrate how to leverage multiple open source projects to build a robust framework quickly and cheaply that can scale with an organization as it grows and inexorably generates more and more data.

They will cover a tangible, real-world, implementation that includes Apache technologies such as Kafka, Mesos, and Spark, as well as open-source PrestoDB (Facebook).

The speakers will discuss lessons learnt during and after the build, as well as

some specific use-cases for how this approach brought about otherwise-unattainable actionable business insights and results, including hardware failure prediction and capacity planning.

avatar for Alex Kass

Alex Kass

Engineering Manager, DigitalOcean
Alex Kass has worked at companies ranging from large financial institutions to early-stage startups, regularly building successful analytical models and systems of varying size. At DigitalOcean, a fast-growing global cloud hosting provider, he has at his disposal sufficient software... Read More →
avatar for Dao Mi

Dao Mi

Data Engineer, Digital Ocean
Dao Mi has extensive experience working with data of different scale, type and velocity across myriad industries, from natural gas to floating bonds. While at Microsoft, he helped deliver BI and predictive analytics solutions to Fortune 500 clients. He has helped build a large custom... Read More →

Tuesday November 15, 2016 11:00 - 11:50 CET
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