Session Details

Update Traditional Data Pipeline to Fit Big Data and Cloud  

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Date :
9:45 AM Saturday
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Interested : (78) - Registered : (-)


Many company has enough data to become data driven company, yet the old school way to deal with data, such as using in-house MySQL and similar solutions, is hard to scale to fit the requirements of modern data-driven approaches. This is an introduction to a couple of common solutions to migrate the old-school data infrastructure onto a cloud platform (including Treasure Data), and a quick pros and cons analysis for each of these choices.

The Speaker(s)


MengKe Li

MK is a Product Manager at Treasure Data, a Big Data Pipeline/Infrastructure company that supports more than 60B records of data from customers per day and that's still growing fast. Treasure Data is also the lead author of open source project Fluentd, a streaming data collection tool that's used by many companies including Google, Facebook, LinkedIn, Snapchat and Apple.
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