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URL :  Scaling Big Data Mining Infrastructure: Twitter
Author : Jimmy Lin - Dmitriy Ryab
Detail : eBook Edition: 2013

The analytics platform at Twitter has experienced tremendous growth over the past few years in terms of size, complexity, number of users, and variety of use cases. In this paper, we discuss the evolution of our infrastructure and the development of capabilities for data mining on “big data”. One important lesson is that successful big data mining in practice is about much more than what most academics would consider data mining: life “in the trenches” is occupied by much preparatory work that precedes the application of data mining algorithms and followed by substantial effort to turn preliminary models into robust solutions. (From Author)

eBook Contents

Introduction - How We Got Here - He Big Data Mining Cycle - Schemas and Beyond - Plumbing Is Important – Conclusions – Acknowledgments

eBook License: Copyright from SIGKDD

Available in PDF format – 14 pages – 617 Kb
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