
Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.
History is littered with hundreds of conflicts over the future of a community, group, location or business that were "resolved" when one of the parties stepped ahead and destroyed what was there. With the original point of contention destroyed, the debates would fall to the wayside. Archive Team believes that by duplicated condemned data, the conversation and debate can continue, as well as the richness and insight gained by keeping the materials. Our projects have ranged in size from a single volunteer downloading the data to a small-but-critical site, to over 100 volunteers stepping forward to acquire terabytes of user-created data to save for future generations.
The main site for Archive Team is at archiveteam.org and contains up to the date information on various projects, manifestos, plans and walkthroughs.
This collection contains the output of many Archive Team projects, both ongoing and completed. Thanks to the generous providing of disk space by the Internet Archive, multi-terabyte datasets can be made available, as well as in use by the Wayback Machine, providing a path back to lost websites and work.
Our collection has grown to the point of having sub-collections for the type of data we acquire. If you are seeking to browse the contents of these collections, the Wayback Machine is the best first stop. Otherwise, you are free to dig into the stacks to see what you may find.
The Archive Team Panic Downloads are full pulldowns of currently extant websites, meant to serve as emergency backups for needed sites that are in danger of closing, or which will be missed dearly if suddenly lost due to hard drive crashes or server failures.
As mentioned by Diego, these additions would help by simplifying the API usage for users even further and it should be pretty easy to implement for us:ð
@divega commented: dotnet/machinelearning-samples#617 (review)
@CESARDELATORRE, I did a deferred review. The experience seems pretty good.
1:
And I agree with you that it could be even better with some sugar method that loads directly from the arguments of DatabaseSource.
2:
I can also see other possible shortcuts of similar nature. For example, although DbProviderFactory is the all encompassing root concept if you need everything from an ADO.NET provider, a DbConnection can give you everything but DbConnectionStringBuilder, and it is a much more familiar abstraction for most users than the DbProviderFactory. So, unless you need to manipulate connection strings in a provider agnostic way (not commonly an useful thing to do), you could make the sugar Load method generic on the provider's DbConnection type.
All in all, I would would love to meet with you and the devs and walk trough the product code and API. It is likely that more things like this will come up.
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