[Announce] Apache Kylin 2.6.5 released
The Apache Kylin team is pleased to announce the immediate availability of the 2.6.5 release. This is a bugfix release after 2.6.4, with 32 bug fixes and enhancements. All of the changes in this release can be found in: https://kylin.apache.org/docs/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 dataset 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 to everyone who has contributed to this 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, Ni Chunen / George
[ANN] Last few days remaining to submit Outreachy intern project proposals for upcoming round
Hello all, The next round for Outreachy, a mentoring program for pairing open source software projects with mentees who are underrepresented communities in tech in their locality. These projects cover software development, data science, documentation, design, and other technical aspects of OSS. For those who have heard of or participated in Google Summer of Code before, this works fairly similarly. We have funding available for several projects to participate this round, so please take a look at the following instructions on how to get started as a mentor: https://s.apache.org/OutreachyMay2020 If you have any questions about eligibility, project guidance, etc., please reach out to the Outreachy coordinators on the d...@diversity.apache.org mailing list. -- Matt Sicker Secretary, Apache Software Foundation VP Logging Services, ASF
[Announce] Apache Kylin 3.0.1 released
The Apache Kylin team is pleased to announce the immediate availability of the 3.0.1 release. This is a bugfix release after 3.0.0, with 24 bug fixes and enhancements. All of the changes in this release can be found in: https://kylin.apache.org/docs/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 dataset 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 to everyone who has contributed to this 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, Ni Chunen / George
[ANNOUNCE] Apache NiFi 1.11.2 release
Hello The Apache NiFi team would like to announce the release of Apache NiFi 1.11.2. Apache NiFi is an easy to use, powerful, and reliable system to process and distribute data. Apache NiFi was made for dataflow. It supports highly configurable directed graphs of data routing, transformation, and system mediation logic. More details on Apache NiFi can be found here: https://nifi.apache.org/ The release artifacts can be downloaded from here: https://nifi.apache.org/download.html Maven artifacts have been made available and mirrored as per normal ASF artifact processes. Issues closed/resolved for this list can be found here: https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12316020=12346972 Release note highlights can be found here: https://cwiki.apache.org/confluence/display/NIFI/Release+Notes#ReleaseNotes-Version1.11.2 Thank you The Apache NiFi team
