What are the essential components of a data platform? This tutorial will explain how the various parts of the Hadoop and big data ecosystem fit together in production to create a data platform supporting batch, interactive and realtime analytical workloads.
By tracing the flow of data from source to output, we’ll explore the options and considerations for components, including:
We’ll give also advice on:
Manu has a background in cloud computing and big data, handling billions of transactions per day in real time. He enjoys building and architecting scalable, highly available data solutions, and has extensive experience working in online advertising and social media.
With over 15 years in advanced analytical applications and architecture, John is dedicated to helping organizations become more data-driven. He combines deep expertise in analytics and data science with business acumen and dynamic engineering leadership.
A leading expert on big data architecture and Hadoop, Stephen brings over 20 years of experience creating scalable, high-availability, data and applications solutions. A veteran of WalmartLabs, Sun and Yahoo!, Stephen leads data architecture and infrastructure.
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