At P&G, the Global Business Services organization delivers many shared services, including the core data infrastructure and applications from data warehouses to business intelligence and advanced analytics. Terry Mcfadden and Priyank Patel discuss Procter and Gamble’s three-year journey to enable production applications with on-cluster BI technology, exploring in detail the architecture challenges and choices made by the team along this journey, evaluation criteria, and how the final choice (Arcadia) fit with the big data infrastructure.
For the past three years, IT within the GBS team has been working with Hadoop (Cloudera on Oracle appliances). The first year’s efforts focused on exploratory analytics and proof of concepts while the second year’s activities moved closer toward big data-based applications. Along this journey, the team identified a need for a BI tool more suited for the Hadoop ecosystem. Last year, the team embarked on an ambitious project to enable ~300 users globally to start deriving insights from 200 TB of raw data stored in Hadoop. The specific application was built using Arcadia’s Hadoop-converged BI technology that enabled the team to build an application meeting their goals.
Terry McFadden is the principal enterprise information architect at Procter & Gamble, where he drives the company’s big data efforts. Terry has a long history of attacking wicked problems in the data area. He holds several US patents and was an early text analytics practitioner. Terry holds an MBA from Xavier University.
Priyank Patel is the cofounder and chief product officer at Arcadia Data, where he leads the team’s charter in building visually beautiful and highly scalable analytical products and guides customers through their successful adoption. Previously, Priyank was part of the founding engineering team at Aster Data, where he designed core components of the Aster Database. He holds a master’s degree in computer science from Stanford University.
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