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:
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.
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.
Richard has been at the cutting edge of big data since its inception, leading multiple efforts to build multi-petabyte Hadoop platforms, maximizing business value by combining data science with big data. He has extensive experience creating advanced analytic systems using data warehousing and data mining technologies
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