Abstract
"Big Data" is a hot topic but, in many ways, we are still trying to define what the phrase "Big Data" means. For many, there are more questions than answers at this point. Is it about size alone? Complexity? Variability? Data shape? Price/performance? New workloads? New types of users? Are existing data models, data management systems, data languages, and BI/ETL tools relevant in this space? Is MapReduce really a "major step backwards"? I have spent time over the last several years trying to answer many of these questions to my own satisfaction. As part of the journey I have witnessed a number of natural patterns that emerge in big data processing. In this talk I will present a catalog of these patterns and illustrate them across a scale spectrum from megabytes to 100s of petabytes. Finally, I will offer some thoughts around a systems and research agenda for this new world.
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