You are viewing a plain text version of this content. The canonical link for it is here.

Posted to user@kylin.apache.org by ShaoFeng Shi <sh...@apache.org> on 2017/08/18 07:13:19 UTC

[Announce] Apache Kylin 2.1.0 released

The Apache Kylin team is pleased to announce the immediate availability of
the 2.1.0 release.

This is a major release after 2.0, with more than 100 bug fixes and
enhancements; All of the changes in this release can be found in:
https://kylin.apache.org/docs21/release_notes.html

You can download the source release and binary packages from Apache Kylin's
download page: https://kylin.apache.org/download/

Apache Kylin is an open source Distributed Analytics Engine designed to
provide SQL interface and multi-dimensional analysis (OLAP) on Apache
Hadoop, supporting extremely large datasets.

Apache Kylin lets you query massive data set at sub-second latency in 3
steps:
1. Identify a star schema or snowflake schema data set on Hadoop.
2. Build Cube on Hadoop.
3. Query data with ANSI-SQL and get results in sub-second, via ODBC, JDBC
or RESTful API.

Thanks everyone who have contributed to the 2.1.0 release.

We welcome your help and feedback. For more information on how to
report problems, and to get involved, visit the project website at
https://kylin.apache.org/

-- 
Best regards,

Shaofeng Shi 史少锋

Re: [Announce] Apache Kylin 2.1.0 released

Posted by Han Luke <lu...@gmail.com>.

Thanks Shaofeng to be the release manager.

Luke
________________________________
From: ShaoFeng Shi <sh...@apache.org>
Sent: Friday, August 18, 2017 3:13:19 PM
To: announce@apache.org; user; dev
Subject: [Announce] Apache Kylin 2.1.0 released

The Apache Kylin team is pleased to announce the immediate availability of the 2.1.0 release.

This is a major release after 2.0, with more than 100 bug fixes and enhancements; All of the changes in this release can be found in:
https://kylin.apache.org/docs21/release_notes.html

You can download the source release and binary packages from Apache Kylin's download page: https://kylin.apache.org/download/

Apache Kylin is an open source Distributed Analytics Engine designed to provide SQL interface and multi-dimensional analysis (OLAP) on Apache Hadoop, supporting extremely large datasets.

Apache Kylin lets you query massive data set at sub-second latency in 3 steps:
1. Identify a star schema or snowflake schema data set on Hadoop.
2. Build Cube on Hadoop.
3. Query data with ANSI-SQL and get results in sub-second, via ODBC, JDBC or RESTful API.

Thanks everyone who have contributed to the 2.1.0 release.

We welcome your help and feedback. For more information on how to
report problems, and to get involved, visit the project website at
https://kylin.apache.org/

--
Best regards,

Shaofeng Shi 史少锋

Re: [Announce] Apache Kylin 2.1.0 released

Posted by Han Luke <lu...@gmail.com>.

Thanks Shaofeng to be the release manager.

Luke
________________________________
From: ShaoFeng Shi <sh...@apache.org>
Sent: Friday, August 18, 2017 3:13:19 PM
To: announce@apache.org; user; dev
Subject: [Announce] Apache Kylin 2.1.0 released

The Apache Kylin team is pleased to announce the immediate availability of the 2.1.0 release.

This is a major release after 2.0, with more than 100 bug fixes and enhancements; All of the changes in this release can be found in:
https://kylin.apache.org/docs21/release_notes.html

You can download the source release and binary packages from Apache Kylin's download page: https://kylin.apache.org/download/

Apache Kylin is an open source Distributed Analytics Engine designed to provide SQL interface and multi-dimensional analysis (OLAP) on Apache Hadoop, supporting extremely large datasets.

Apache Kylin lets you query massive data set at sub-second latency in 3 steps:
1. Identify a star schema or snowflake schema data set on Hadoop.
2. Build Cube on Hadoop.
3. Query data with ANSI-SQL and get results in sub-second, via ODBC, JDBC or RESTful API.

Thanks everyone who have contributed to the 2.1.0 release.

We welcome your help and feedback. For more information on how to
report problems, and to get involved, visit the project website at
https://kylin.apache.org/

--
Best regards,

Shaofeng Shi 史少锋