大数据现状及未来的宏观分析和生命科学数据的实时分析项目实例

码工合作社／硅谷大数据协会

码工合作社和硅谷大数据协会特邀资深码工茹寅飞和张歌作为本次活动的主讲嘉宾，共同分享精彩专题
茹寅飞，Fullstack engineer@Mixpanel（2014 ～ now）。参与过Mixpanel web端大部分工具（Segmentation, Funnel, Retention, Dashboard, A/B testing，等）的前端和后端的研发。参与了Android和iOS app v1的开发，并且是多个后端service和android sdk的owner。曾在Broadcom担任software engineer。
茹寅飞分享主题：大数据服务公司的发展现状及展望 - 1. 大数据服务公司分类 2. 数据分析公司要解决的问题 3. 数据分析公司技术难题 4. 数据分析公司的未来
张歌，Andrew worked as software QA engineer for DNA sequencing at Roche and OLAP middleware for Hyperion (acquired by Oracle). Prior to that, Andrew worked as Mechanical engineer for automobile and railway industrials in Japan and China.
 
Andrew will present some of the projects he had been working on software automation for machine data on DNA sequencing for life science that combine machine data, FPGA, GPU processing, lab codes, data visualization using bash, python (ipython notebook), and Splunk (a real time data monitor tool). The presentation will show how to get sense from the data generated from lab machine in close to real time.

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大数据现状及未来的宏观分析和生命科学数据的实时分析项目实例

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大数据现状及未来的宏观分析和生命科学数据的实时分析项目实例

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