Xin Luna Dong (Amazon)
Jianjun Chen (Huawei US Silicon Valley R&D Center)
Abstract: Building large software systems is always a challenging venture, but especially so in academia. This talk will describe the experiences that the speaker and his partners in software crime at UC Irvine and UC Riverside had that culminated in the Big Data Management System now available as Apache AsterixDB. The talk will cover a mix of the history and technical content of the nearly ten-year-old project, starting with its inception during the MapReduce craze, and will describe the phases that the effort has gone through and some of the lessons learned along the way. The talk will also cover the speaker’s own reflections and opinions on the challenges of systems-building, as well as writing about it, in our current culture in academia. Included will be the case for doing this sort of thing – including the dangers of doing “systems” research in the absence of an actual system, and why the gain outweighs the pain of building (and also sharing) database software in academia. As of late 2018, Apache AsterixDB is also having commercial impact; it is the storage and parallel query engine underlying the new offering from Couchbase called Couchbase Analytics. The last part of the talk will explain how we are attempting to balance the uses of AsterixDB as (i) a generally available open source Apache software platform, (ii) an ongoing end-to-end research testbed for university students’ work, and (iii) the technology powering a commercial NoSQL product offering.
Data Management at Huawei: Recent Accomplishments and Future Challenges
Abstract: Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart devices, and cloud services – Huawei is committed to bringing digital transformation to every person, home and organization for a fully connected, intelligent world. Founded in 1987, Huawei currently has more than 180,000 employees, and operates in more than 170 countries and regions with revenue over 100 billion USD in 2018.
Data management has been playing a key role in Huawei in all of the four key domains above. We have developed innovative products and solutions to support rapid business growth driven by customer requirements. While some data management problems are common, each domain also has its own special requirements and challenges. In this talk, we will go through some recent advancements in Huawei data management, such as our highly elastic in-memory database for telecom networks (GMDB) and our petabyte scale enterprise analytics platform (FusionInsight MPPDB). In addition, we will talk about new challenges in the data management area that we are actively working on, such as autonomous data management and device-edge-cloud collaboration data platform.
Dr. Jianjun Chen, technical VP of Huawei US Silicon Valley R&D Center, leads advanced database research and development in Huawei database group. He joined Huawei in January 2017 and is responsible for defining the vision, system architecture and key technologies of multiple Huawei database products. He is a seasoned database expert with over 16 years of R&D and technical leadership experience. His expertise includes cloud data management, query optimization, mobile cloud computing and NoSQL databases.
Dr. Chen received his Ph.D in 2001 from Computer Sciences department of University of Wisconsin, Madison, under Professor David DeWitt’s supervision. After graduation, he worked in Microsoft SQL Server Query Optimizer team and later became one of the founding engineers of Microsoft SQL Azure. After almost 9 years in Microsoft, he joined Yahoo! Lab Cloud Sciences group and worked on PNUTS system. Next, he worked in various Google Cloud Platform (GCP) and Ads Backend database teams for more than 4 years, including Cloud SQL, Cloud Datastore and F1. During his tenure in GCP, he was an active proponent of mobile cloud computing and led a team across GCP and Android to build an MBaaS (a.k.a. mobile backend as a service) product from scratch.
Dr. Chen is a recipient of the SIGMOD 10 year Test-Time award in 2010 for the visionary work in scalable continuous query processing, as part of his Ph.D dissertation research.