HBase can be an intimidating beast for someone considering its adoption. For what kinds of workloads is it well suited? How does it integrate into the rest of my application infrastructure? What are the data semantics upon which applications can be built? What are the deployment and operational concerns? In this talk, each of these questions are addressed in turn. In order to answer them, the design of HBase must first be explored so as to have some understanding of its critical paths. Supporting evidence is provided through both high-level application architecture and internal system details. This is an interactive talk: bring your questions and your use-cases.
Nick stumbled into HBase in 2008 when his nightly ETL jobs started taking 20+ hours to complete. Since then, he has applied Hadoop and HBase to projects in social media, social gaming, click-stream analysis, climatology, and geographic data. Nick also helped establish Seattle’s Scalability Meetup and tried his hand at entrepreneurship. Most recently, he is an author on HBase in Action, available now. He has a passion for distributed, scalable, online access to scientific data.
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