Big data is quickly losing all meaning, joining the ranks of buzzwords like cloud and open. Nonetheless, it is changing how large companies operate. We'll start out with a quick introduction to what big data problems are and why they've become important, covering use cases and impact on existing markets. We'll then spend most of our time talking about the design choices of various technology solutions including consistency models, schema, abstraction levels, the rise of the developer in technology decisions and how all of these impact adoption and usage. We'll use Hadoop and NoSQL technologies as a backdrop for the impact of real customer use on technology design and architecture.
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About the speaker:
Jacques Nadeau leads Apache Drill development efforts at MapR Technologies. He is an industry veteran with over 15 years of big data and analytics experience. Most recently, he was cofounder and CTO of search engine startup YapMap. Before that, he was director of new product engineering with Quigo (contextual advertising, acquired by AOL in 2007). He also built the Avenue A | Razorfish analytics data warehousing system and associated services practice (acquired by Microsoft).