Awesome, thanks Szehon! I'll definitely include these. Any other talks that we should highlight?
On Wed, Oct 12, 2022 at 11:18 AM Szehon Ho <szehon.apa...@gmail.com> wrote: > Hi Ryan, > > Do you mention Iceberg-related talks in the board report? There were four > Iceberg talks at ApacheCon2022 (somehow the event schedule is hidden only > to participants, not sure why): > > > - Accelerate Data Lakehouse deployment with Apache Iceberg in Cloudera > Data Platform (Attila Turoczy, Bill Zhang) > - Apache Iceberg's REST Catalog - A Gateway to Enriching Data Access > via the Simplicity of an HTTP Service (Sam Redai) > - Iceberg's Best Secret: Exploring Metadata Tables (Szehon Ho) > - Integrated Audits: Streamlined Data Observability with Apache > Iceberg (Sam Redai) > > If not, feel free to ignore. > Thanks, > Szehon > > > > On Wed, Oct 12, 2022 at 9:36 AM Ryan Blue <b...@apache.org> wrote: > >> Hi everyone, >> >> Here’s the board report I just posted. If you have anything to add, >> please reply to let me know! >> Description: >> >> Apache Iceberg is a table format for huge analytic datasets that is >> designed >> for high performance and ease of use. >> Issues: >> >> There are no issues requiring board attention. >> Membership Data: >> >> Apache Iceberg was founded 2020-05-19 (2 years ago) >> There are currently 22 committers and 12 PMC members in this project. >> The Committer-to-PMC ratio is roughly 2:1. >> >> Community changes, past quarter: >> >> - No new PMC members. Last addition was Jack Ye on 2021-11-14. >> - Fokko Driesprong was added as committer on 2022-08-21 >> - Steven Wu was added as committer on 2022-10-07 >> - Yufei Gu was added as committer on 2022-08-25 >> >> Project Activity: >> >> The community had 2 releases in the 0.14.x line and an initial Python >> release, >> 0.1.0. In addition, the vote for a 1.0.0 release is currently passing. >> >> The Python release is the result of significant community effort and >> includes >> a new CLI utility (pyiceberg), support for Hive and REST catalogs, and the >> ability to read table metadata. The next goal is a 0.2.0 release that can >> handle >> query planning to enable reads in Python and Python-based engines. >> >> The 1.0.0 JVM release adds API guarantees to the API module, but is >> closely >> based on 0.14.1 to make transitioning to a new major version simple. >> >> Next, the community is preparing a 1.1.0 release with significant new >> updates: >> >> - The ability to read and write table branches >> - Scan metrics reporting >> - Support for Spark FunctionCatalog >> - FLIP-27 reader support in Flink SQL >> - Z-order support when rewriting or compacting data files >> - Support for Puffin stats in table metadata >> >> Community Health: >> >> The community continues to be healthy in terms of commits. The number of >> unique contributors decreased slightly, which indicates the community >> should >> ensure pull requests from contributors are getting enough attention. >> >> The increase of issues closed is due to setting up a stale issues bot to >> help >> keep issues fresh and relevant. The community also added issue templates >> to >> make bug reports and feature requests better and more clear. >> >> -- >> Ryan Blue >> > -- Ryan Blue Tabular
