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From Lei Chang <chang.lei...@gmail.com>
Subject hawq board report
Date Fri, 12 Oct 2018 00:56:54 GMT
Hi Guys,

Please see the following board report. Comments and suggestions are



## Description:

HAWQ is a Hadoop native SQL query engine that combines the key technological
advantages of MPP database with the scalability and convenience of Hadoop.
HAWQ reads data from and writes data to HDFS natively.

HAWQ delivers industry-leading performance and linear scalability. It
provides users the tools to confidently and successfully interact with
petabyte range data sets. HAWQ provides users with a complete, standards
compliant SQL interface.

## Issues:


## Activity:

1) The community released Jiali YAO volunteered as the next release
manager and the team is planning a new release. The features in the
release are:

    - New Feature: Pluggable Vectorized Execution Engine on HAWQ.
    - New Feature: Support Runtime Filter for HAWQ local hash join.

2) Talks:
    - The way to Apache TLP - HAWQ practices, COSCon 2018  (coming talk,
      Speaker: Lei Chang)
    -  Apache HAWQ on Kubernetes: Bring SQL on Hadoop to Cloud, ApacheCon
       (Speaker: Ivan Weng, Wen Lin)

## PMC changes:

Last PMC addition was Amy Bai Kevin Monroe on April 24, 2018, Currently 36
PMC members

## Committer base changes:
Last committer addition was  Shubham Sharma on April 25, 2018, Currently 45

## Releases: Last release was on Sep 23, 2018

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