November 19, 2019

151 words 1 min read

The power of the open source ecosystem (sponsored by Huawei)

The power of the open source ecosystem (sponsored by Huawei)

Ying Xiong discusses the fast-growing open source market in China, exploring the role Huawei plays in China's open source software industry, developer community engagement, and Huaweis continuous commitment to open source strategy and growing contribution to various open source technologies.
Talk Title The power of the open source ecosystem (sponsored by Huawei)
Speakers Ying Xiong (Huawei)
Conference O’Reilly Open Source Convention
Conf Tag Making Open Work
Location Austin, Texas
Date May 8-11, 2017
URL Talk Page
Slides Talk Slides
Video Talk Video

Ying Xiong discusses the fast-growing open source market in China, exploring the role Huawei plays in China’s open source software industry, developer community engagement, and Huawei’s continuous commitment to open source strategy and growing contribution to various open source technologies. Along the way, Ying shares use cases on how Huawei uses innovated open source technologies to solve problems for its customers and partners. This keynote is sponsored by Huawei.

ecosystem huawei use case open source
comments powered by Disqus
Transforming telecommunications through open source software

Transforming telecommunications through open source software

November 19, 2019

The telecommunications industry's major network operators and vendors have not traditionally engaged with open source. Now, under pressure to transform their networks to support mobile devices and the demand for video, this is changing. William Snow tells the story of how Open Networking Laboratory has transformed the industry through open source and where the industry is headed using open source.
The secret to strategic design: Mastering planning

The secret to strategic design: Mastering planning

November 11, 2019

In response to a managers question about how to plan products, Alan Kay famously remarked, The best way to predict the future is to invent it. His answer invokes a paradox at the heart of design: we cant know the future, yet its what we design for. Peter Morville argues that to practice strategic design amid disruptive innovation, we must get better at planning.
Architecting a next-generation data platform

Architecting a next-generation data platform

November 9, 2019

Using Entity 360 as an example, Jonathan Seidman, Ted Malaska, Mark Grover, and Gwen Shapira explain how to architect a modern, real-time big data platform leveraging recent advancements in the open source software world, using components like Kafka, Impala, Kudu, Spark Streaming, and Spark SQL with Hadoop to enable new forms of data processing and analytics.
Driving enterprise open source adoption, from data lake to AI (sponsored by Teradata)

Driving enterprise open source adoption, from data lake to AI (sponsored by Teradata)

November 6, 2019

It is no surprise that reducing operational IT expenditures and increasing software capabilities is a top priority for large enterprises. Given its advantages, open source software has proliferated across the globe. Ron Bodkin explains how Teradata drives open source adoption inside enterprises using open source data management and AI techniques leveraged across the analytical ecosystem.
Hoodie: Incremental processing on Hadoop at Uber

Hoodie: Incremental processing on Hadoop at Uber

November 6, 2019

Uber relies on making data-driven decisions at every level, and most of these decisions can benefit from faster data processing. Vinoth Chandar and Prasanna Rajaperumal introduce Hoodie, a newly open sourced system at Uber that adds new incremental processing primitives to existing Hadoop technologies to provide near-real-time data at 10x reduced cost.
Paint the landscape and secure your data center with Apache Spot

Paint the landscape and secure your data center with Apache Spot

November 4, 2019

Cesar Berho and Alan Ross offer an overview of open source project Apache Spot (incubating), which delivers next-generation cybersecurity analytics architecture through unsupervised learning using machine-learning techniques at cloud scale for anomaly detection.