O'Reilly、Cloudera 主办
Make Data Work
2017年7月12-13日:培训
2017年7月13-15日:会议
北京,中国

Apache Kudo: 1.0版和未来 (Apache Kudu: 1.0 and beyond)

此演讲使用中文 (This will be presented in Chinese)

Hao Hao (Cloudera)
14:50–15:30 Friday, 2017-07-14
数据工程和架构 (Data engineering and architecture)
地点: 紫金大厅B(Grand Hall B) 观众水平 (Level): Beginner

必要预备知识 (Prerequisite Knowledge)

General familiarity with the Apache Kudu (incubating) (no experience contributing to Kudu or programming using the Kudu APIs required)

您将学到什么 (What you'll learn)

Learn the latest news from Kudu development and what to expect in upcoming releases and explore examples from real-life users who have deployed Kudu in production

描述 (Description)

在2015 Strata纽约大会上,Apache Kudu首次发布了beta版,并在2016年发布了1.0正式版。现在它已经成为一个开源项目1年了。在本演讲里,Hao会简要介绍Kudu存储引擎项目的目标和它的特性集,以及它在过去一年里的最新发展,包括一些新的特性(比如支持时间序列的任务、性能优化、与Spark的集成和高可靠的可复制主节点)。在这个过程中,Hao还会展示Kudu的一些真实的生产级别的部署,和一些新开发的帮助运维Kudu集群的工具。最后,她会概述Kudu项目今后这一年的路线图,包括安全部分的计划和其他一些新特性。


Apache Kudu was first announced as a public beta release at Strata in NYC 2015 and reached 1.0 release in 2016. It has now been a public open source project for more than a year. Hao Hao offers an overview of Apache Kudu and outlines the goals and feature set of the Kudu storage engine, covering the development that has taken place over the last year, including new features such as improved support for time series workloads, performance improvements, Spark integration, and highly available replicated masters. Along the way, Hao explores real-world production deployments and some of the tools that have been built to help operators manage a Kudu cluster. She ends with a view of the roadmap of the Kudu project for the upcoming year, including plans for security and other new features.

Photo of Hao Hao

Hao Hao

Cloudera

Hao Hao is a software engineer at Cloudera currently working on Apache Kudu and Apache Sentry and is committer and PMC of the Apache Sentry project. Previously, she worked on eBay’s Search Backend team, building search infrastructure for eBay’s online buying platform. Hao performed extensive research on smartphone security and web security while she was a PhD student at Syracuse University.

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