Michael Franklin

ACM Fellow University of Chicago, USA, Chair of the CS department, ACM Fellow

个人介绍：

Franklin是加州大学伯克利分校计算机科学的兼职教授，主要研究集中在大数据、数据库、操作系统和网络技术等领域。他是现芝加哥大学计算机系教授兼主席，也是计算和数据科学教务长的高级顾问。Franklin教授于2005年被评为ACM Fellow，在2009年获得IBM Faculty Award 和 Google Faculty Research Grant 。

议题：

Big Data Software: What’s Next?

议题介绍：

The Big Data revolution has been enabled by a wealth of innovation in software platforms for data storage, analytics, and machine learning. The design of Big Data platforms such as Hadoop and Spark focused on scalability, fault-tolerance and performance. As these and other systems increasingly become part of the mainstream, the next set of challenges are becoming clearer. Requirements for performance are changing as workloads and hardware evolve. But more fundamentally,other issues are moving to the forefront. These include ease of use for a wide range of users, security, concerns about privacy and potential bias, and the perennial problems of data quality and integration from heterogeneous sources. In this talk, I will give an overview of how we got here, with an emphasis on the development of the Apache Spark system. I will then discuss recent progress and open challenges for these emerging issues.