January 13, 2020

216 words 2 mins read

The Journey of Leading Open Source Engineering Team in China

The Journey of Leading Open Source Engineering Team in China

7 years ago, Jocelyn started her journey in open source development world as a software engineering team manager.At beginning, Jocelyn simply assumed that the only difference with open source developm …
Talk Title The Journey of Leading Open Source Engineering Team in China
Speakers Jocelyn Li (Senior Software Engineering Manager, Intel Corporation)
Conference Open Source Summit + ELC Europe
Conf Tag
Location Lyon, France
Date Oct 27-Nov 1, 2019
URL Talk Page
Slides Talk Slides
Video

7 years ago, Jocelyn started her journey in open source development world as a software engineering team manager.At beginning, Jocelyn simply assumed that the only difference with open source development model is making the source code publicly available. In the last 7 years, Jocelyn built up 3 software engineering team in China working on several open source software projects libVA, Sound Open Firmware and Zephyr OS. Jocelyn led the Sound Open Firmware project from scratch to delivering to Chromebook product in 2 years.In this talk, Jocelyn will talk about the various challenges(listed below) and share how she led the open source engineering team by changing her mindset, embracing the open source development model and role-modeling the way.- Reluctant to discuss via mailing list- Embracing community- Submitting patches with good quality change log and code- Discussion and debating- Upstream vs Product

firmware code open source zephyr book
comments powered by Disqus
The Presto Cost-Based Optimizer for interactive SQL on anything

The Presto Cost-Based Optimizer for interactive SQL on anything

January 5, 2020

Presto is a popular open sourcedistributed SQL engine for interactive queries over heterogeneous data sources (Hadoop/HDFS, Amazon S3, Azure ADSL, RDBMS, NoSQL, etc). Wojciech Biela and Piotr Findeisen offer an overview of the Cost-Based Optimizer (CBO) for Presto, which brings a great performance boost. Join in to learn about CBO internals, the motivating use cases, and observed improvements.
Faster ML over joins of tables

Faster ML over joins of tables

December 24, 2019

Arun Kumar details recent techniques to accelerate ML over data that is the output of joins of multiple tables. Using ideas from query optimization and learning theory, Arun demonstrates how to avoid joins before ML to reduce runtimes and memory and storage footprints. Along the way, he explores open source software prototypes and sample ML code in both R and Python.
Developing Open Source for Safety and Security

Developing Open Source for Safety and Security

September 19, 2019

Open source projects thrive when they can accept great ideas and developers are able to extend the code to scratch their itch. Developing safety critical applications, on the other hand, requires ri …
Bridging the Gap Between Open Source and University Students and Women

Bridging the Gap Between Open Source and University Students and Women

January 12, 2020

There exists a large number of programs that act as a source of motivation for university students to contribute to open source such as Google Summer of Code, Outreachy, Rails girls summer of code etc …
Creating a Virtuous Cycle of Running Code Across your APIs

Creating a Virtuous Cycle of Running Code Across your APIs

January 11, 2020

Successful open source projects have APIs that are powerful and intuitive, documentation that is clear and concise, and libraries and SDKs that simplify and accelerate API usage. This fuels the creati …
Executive Briefing: Overview of data governance

Executive Briefing: Overview of data governance

January 11, 2020

Effective data governance is foundational for AI adoption in enterprise, but it's an almost overwhelming topic. Paco Nathan offers an overview of its history, themes, tools, process, standards, and more. Join in to learn what impact machine learning has on data governance and vice versa.