Building an active community requires thoughtful planning, patience, support, and constant evangelism. Even then, any of several well-known errors can prevent a community from developing.
There are many useful open source technologies out there. With all of this competition, it's critical to make it clear why your particular open source offering should be considered, and for which needs. That's the reality any builder of an open source community needs to adopt right from the start: While participation by developers in an active, viable open source community will undoubtedly improve their projects, as well as your product's evolution, getting a community up and running can be a challenge.
At Actuate, we've managed to establish value for developers in our open source BIRT community, and in our commercial products built on BIRT. Today, our community is 3.5-million BIRT developers strong. So here are our thoughts on how to build your own.
What is the right way to start this process? First, from a business model standpoint, the kind of license you select for your open source project is a big factor. There are different types of open source licenses -- some are very permissive and some are very restrictive, and developers pay a lot of attention to this aspect now. There is also a lot of knowledge out there on what each license exposes you to. See, for example:
Michael Williams is a committer on the BIRT Project and also BIRT Product Evangelist and Forums Manager for reporting and business analytics software specialist Actuate Corp., which sponsors open-source BIRT and offers commercial BIRT-based software to a community of more ... View Full Bio
The Agile ArchiveWhen it comes to managing data, donít look at backup and archiving systems as burdens and cost centers. A well-designed archive can enhance data protection and restores, ease search and e-discovery efforts, and save money by intelligently moving data from expensive primary storage systems.
2014 Analytics, BI, and Information Management SurveyITís tried for years to simplify data analytics and business intelligence efforts. Have visual analysis tools and Hadoop and NoSQL databases helped? Respondents to our 2014 InformationWeek Analytics, Business Intelligence, and Information Management Survey have a mixed outlook.
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