Big Data Analytics @ Uber

案例来源:Uber
会议地点:上海
分享时间: 2019-05-18 13:30-14:30

牛璐  |

Uber Data infra,senior software engineer

Lu is with Data Infrastructure Team at Uber, primary working on Interactive SQL engine. Before Uber, Lu worked at Yahoo Ads and Yahoo Finance team, built Yahoo's user profile system and financial data serving system respectively. Lu holds a CS master's degree from University of Southern California and bachelor's degree from Sun Yat-Sen University.

课程概要

From user acquisition to ads campaign, big data analytics is widely used at Uber. Lots of data-driven decisions are made from PB+ data. From early days to now, data analytics plays an important role in growing Uber from 0 to 1.

In this talk, we will introduce how Uber builds big data platform to meet the needs of data analytics at scale. We will start with users cases, following with essential components of big data and our implementation. Finally, we will describe how the data platform be able to scale in cost-effective way.

听众收益

Understand data driven decision making
Big Data Analytics challenges
Build data platform for analytics at scale

牛璐  |

Uber Data infra,senior software engineer

Lu is with Data Infrastructure Team at Uber, primary working on Interactive SQL engine. Before Uber, Lu worked at Yahoo Ads and Yahoo Finance team, built Yahoo's user profile system and financial data serving system respectively. Lu holds a CS master's degree from University of Southern California and bachelor's degree from Sun Yat-Sen University.

课程概要

From user acquisition to ads campaign, big data analytics is widely used at Uber. Lots of data-driven decisions are made from PB+ data. From early days to now, data analytics plays an important role in growing Uber from 0 to 1.

In this talk, we will introduce how Uber builds big data platform to meet the needs of data analytics at scale. We will start with users cases, following with essential components of big data and our implementation. Finally, we will describe how the data platform be able to scale in cost-effective way.

听众收益

Understand data driven decision making
Big Data Analytics challenges
Build data platform for analytics at scale

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