Big Data Engineering
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  Tony Shan   Tony Shan
Chief IoTologist


Wednesday, August 21, 2013
02:00 PM - 05:00 PM

Level:  Technical - Intermediate

This presentation introduces the Big Data Engineering (BDE), which is defined as the practical application of a systematic, disciplined, quantifiable approach to the analysis, design, construction, operation, and maintenance of Big Data solutions. BDE is a holistic method focusing on 8 crucial areas: Methodology, Program, Governance, Resources, Quality, Risk Mitigation, KPI & Financials, and Practice. BDE also systematically addresses the lifecycle of Big Data solutioning in 12 stages: Plan, Requirement, Analysis, Modeling, Platform, Design, Development, Integration, Testing, Runtime, Deployment, and Operation. Each of these 12 stages comprises individual elements as subdisplines. For example, the NoSQL platform options include key-value, column-based, document-oriented, graph, NewSQL, and In-memory stores. Case studies and working examples will be discussed in great details in the session to illustrate the pragmatic use of BDE in the real-world implementations. Best practices and lessons learned are articulated as well.

Topics you will learn about include:

  • Engineering discipline
  • Lifecycle
  • Methodology
  • Governance
  • Best practices

Tony Shan is a renowned visionary and thought leader incubating and nurturing interdisciplinary practice and enablement on emerging technologies like IoT, big data, cloud and bots. He drives large-scale transformation of most complex information systems at Fortune 500 companies. He leads pragmatic innovation for enterprise digitization in consulting. He serves as an editor/advisory board of journals, chair of events, and a judge in IT competitions. He speaks and organizes in various conferences, and authored hundreds of publications. As an intrapreneur/entrepreneur, he also founded several startups and user groups/forums.

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