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The Power Of Open Source To Solve The Data Fragmentation Challenge

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OSS

Apache Arrow is a new open-source project that helps data analysts wrestle diverse data sets into a single format. Apache Arrow is a collaborative effort that spans many of the largest providers and users of data infrastructure today including Amazon (NASDAQ:AMZN), Cloudera (Private:CLOUD), Databricks, DataStax, Dremio, Hortonworks (NASDAQ:HDP) MapR, Salesforce.com (NYSE:CRM), Trifacta and Twitter (NYSE:TWTR). That so many different companies can collaborate on one initiative to improve data analysis industry-wide is a testament to the power of open source to inspire and engender great change.

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So basically Bradley Kuhn gave a talk at FOSDEM '17 about GPL enforcement and I was like, wow, it sucks how many companies and people think that enforcing the GPL is a bad idea. I mean, if you disagree with copyleft that's fine (though I personally would argue with that position), but then you should use a suitable license. Like MIT. The very idea that we shouldn't enforce the GPL just doesn't make sense to me because it suggests that the text of the license is watery and unimportant. I don't know about you, but when I say I want my programs to respect users' freedom, I mean it. So GPL enforcement is important. It seemed to me that there are probably a lot of developers out there who want to support GPL enforcement but don't have a good way to voice that support. gplenforced.org is essentially a quick and dirty hack I wrote to make that dead-simple. Read more

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