THIS IS A TEST INSTANCE. ALL YOUR CHANGES WILL BE LOST!!!!
## Description:
- Apache Streams unifies a diverse world of digital profiles and online activities into common formats and vocabularies, and makes these datasets accessible across a variety of databases, devices, and platforms for streaming, browsing, search, sharing, and analytics use-cases.
## Issues:
- There are no issues requiring board attention at this time.
## Activity:
- Most recent activity has been focused on graduation and TLP post-graduation tasks.
- We have completed most PMC setup and infra tasks; some code and website refactoring work remains.
## Health report:
Streams graduated to TLP on July 19 2017. Eight PPMC members have joined the new PMC. Enthusiasm is strong and there is a lot of important work ahead.
## PMC changes:
- PMC has been just formalized as part of the graduation resolution.
- Currently 8 PMC members.
## Committer base changes:
- PMC has been just formalized as part of the graduation resolution.
- Currently 8 committers.## Releases:
- Prior release was 0.5-incubating on March 20, 2017
- Next release will be 0.6.0 - discussion on list has started.
## Mailing list activity:
81 Emails sent during these 92 days, up 32 (65%) compared to previous 92 days.
25 topics started during these 92 days, up 10 (66%) compared to previous 92 days.
17 Participants during these 92 days, up 6 (54%) compared to previous 92 days.
## JIRA Statistics:
13 new, 7 resolved
## Upcoming Project Initiatives:
- Work to reduce disparities between normalized activities and objects of like type collected from various data sources.
- Work to reduce disparities between the configuration objects that initialize similar providers from various data sources.
- Drop remaining maven dependencies on java SDKs for accessing third-party HTTP APIs in favor of interfaces powered by Apache Juneau (incubating) Remoteable Annotations.
- Add official support for Schema.org and Activity Streams 2.0 data types.
- More tweets and blog posts of zeppelin notebooks demonstrating data pipelines and analyses based on Apache Streams.
- More official examples in source tree demonstrating integration of Apache Streams with complementary technologies.