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CASE STUDY: Big Data @ Scale

August 20, 2019

Prerequisite: None

Moied Wahid

Vice President, Platform Engineering

Experian

During this session, we will share our experience building and operating a multitenant, secure, on-demand analytics platform which offers cutting-edge insights to businesses and provides fast and easy access to consumer data and tools to process and analyze voluminous amounts of data. All of this can help users make decisions with greater accuracy, get to market faster, and increase revenue.

In the presentation, I want to talk about how we use technology as a differentiator to build a secure big data platform for innovation, agility, and velocity using a public cloud. I will explain the data architecture and how analytics workloads impact data architecture and technology. We’ll also share what we’ve learned about managing a big data platform on a public cloud, including the infrastructure and application challenges in building and operating a multitenant platform. Most important, we want to share reliability engineering efforts for availability, performance, efficiency, change management, monitoring, emergency response, and capacity planning for big data platforms.

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