Thanks for the ideas. Here is what I posted: ## Description: Arrow is a columnar in-memory analytics layer designed to accelerate big data. It houses a set of canonical in-memory representations of flat and hierarchical data along with multiple language-bindings for structure manipulation. It also provides IPC and common algorithm implementations.
## Issues: - There are no issues requiring board attention at this time. ## Activity: - Arrow has made great progress since the last report. - The community has actively been driving towards a set of cross-language compatibility tests. These are now complete. - The compatibility tests were a key gate identified to seeing the specification as solidified. Now that it is, the community will be starting work on our second release. - This release will show the arrow projects java arrow, arrow-cpp, py-arrow and Parquet's parquet-cpp all working nicely together. ## Health report: - A core group of community members continue to make good progress on various aspects of both the Java, C++ and python projects. - We're seen a small number of casual contributors arrive and provide additional patches to the project. - Multiple people have been doing community outreach through the various blog posts, meetups and conference presentations. Examples include - Upcoming talk at Strata San Jose in March - Upcoming talk at Dataworks Summit Munich in April - Arrow and Pandas vision: https://s.apache.org/arrow_1701_01 - Python Data Wrangling talk: https://s.apache.org/arrow_1701_02 - We continue to see nice growth in mailing list and jira activity. ## PMC changes: - Currently 18 PMC members. - Wes McKinney was added to the PMC on Wed Oct 19 2016 ## Committer base changes: - Currently 21 committers. - Uwe Korn was added as a committer on Thu Oct 27 2016 ## Releases: - Last release was 0.1.0 on Tue Oct 11 2016 ## JIRA activity: - 140 JIRA tickets created in the last 3 months - 117 JIRA tickets closed/resolved in the last 3 months On Mon, Jan 9, 2017 at 10:16 AM, Wes McKinney <[email protected]> wrote: > The integration test success is the biggest news. We should definitely > try to release 0.2 as soon as possible. > > Other features > > - Significantly improved performance in Python pandas interoperability > - Refactored parquet-cpp to depend on Arrow C++ memory management > (buffers) and IO components > > I wrote 3 blog posts recently that include some words about Arrow > > http://wesmckinney.com/blog/outlook-for-2017/ > http://wesmckinney.com/blog/high-perf-arrow-to-pandas/ > http://wesmckinney.com/blog/python-hdfs-interfaces/ > > I talked some about Arrow in my recent talk: > http://www.slideshare.net/wesm/python-data-wrangling- > preparing-for-the-future. > > Thanks > Wes > > On Mon, Jan 9, 2017 at 12:45 PM, Julien Le Dem <[email protected]> wrote: > > Now that we have cross compatibility tests between Java and C++ we're > going > > to release a 0.2 soon. > > arrow-cpp, py-arrow and parquet-cpp work together nicely. > > I'm going to talk about arrow at Starta San Jose (March) and Dataworks > > Summit in Munich (April) > > > > > > On Mon, Jan 9, 2017 at 9:38 AM, Jacques Nadeau <[email protected]> > wrote: > > > >> Hey All, I'm going to full together a arrow board report. Anything > people > >> think I should note? Presentations, progress, key features, etc? > >> > >> thanks, > >> jacques > >> > > > > > > > > -- > > Julien >
