Hi all,

Our quarterly project board report needs to be submitted on May 13th, and I 
wanted to include anything notable going on that we want to appear in the board 
archive. Here is my draft below — let me know if you have suggested changes.

===============================================

Apache Spark is a fast and general engine for large-scale data processing. It 
offers high-level APIs in Java, Scala, Python and R as well as a rich set of 
libraries including stream processing, machine learning, and graph analytics.

Project status:

- Progress is continuing on the upcoming Apache Spark 3.0 release, with the 
first votes on release candidates. This will be a major release with various 
API and SQL language updates, so we’ve tried to solicit broad input on it 
through two preview releases and a lot of JIRA and mailing list discussion.

- The community is also voting on a release candidate for Apache Spark 2.4.6, 
bringing bug fixes to the 2.4 branch.

Trademarks:

- Nothing new to report in the past 3 months.

Latest releases:

- Spark 2.4.5 was released on Feb 8th, 2020.
- Spark 3.0.0-preview2 was released on Dec 23rd, 2019.
- Spark 3.0.0-preview was released on Nov 6th, 2019.
- Spark 2.3.4 was released on Sept 9th, 2019.

Committers and PMC:

- The latest PMC member was added on Sept 4th, 2019 (Dongjoon Hyun).
- The latest committer was added on Sept 9th, 2019 (Weichen Xu). We also added
Ryan Blue, L.C. Hsieh, Gengliang Wang, Yuming Wang and Ruifeng Zheng as
committers in the past three months.
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