StreamSets Data Collector

StreamSets Data Collector - Continuous big data and cloud platform ingest infrastructure

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该项目 repo 已失效。官方有一个 https://github.com/streamsets/datacollector-docker 项目可考虑作为替代,部署较为方便些。

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Name With Ownerspatie/laravel-partialcache
Primary LanguagePHP
Program languageJava (Language Count: 1)
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License:MIT License
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Created At2015-06-17 10:55:26
Pushed At2018-10-24 11:26:09
Last Commit At2018-10-24 13:26:08
Release Count9
Last Release Name1.3.0 (Posted on )
First Release Name0.1 (Posted on )
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Stargazers Count197
Watchers Count11
Fork Count30
Commits Count58
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Issues Count12
Issue Open Count0
Pull Requests Count12
Pull Requests Open Count0
Pull Requests Close Count3
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What is StreamSets Data Collector?

StreamSets Data Collector is an enterprise grade, open source, continuous big data ingestion infrastructure.
It has an advanced and easy to use User Interface that lets data scientists, developers and data infrastructure
teams easily create data pipelines in a fraction of the time typically required to create complex ingest scenarios.
Out of the box, StreamSets Data Collector reads from and writes to a
large number of end-points, including S3, JDBC, Hadoop, Kafka,
Cassandra and many others. You can use Python, Javascript and Java Expression Language in addition to a large number
of pre-built stages to transform and process the data on the fly. For fault tolerance
and scale out, you can setup data pipelines in cluster mode and perform fine grained monitoring at every stage of
the pipeline.

To learn more, check out http://streamsets.com

Building StreamSets Data Collector

To build the StreamSets Data Collector from source code, click here for details.

License

StreamSets Data Collector is built on open source technologies, our code is licensed with the
Apache License 2.0.

Getting Help

A good place to start is to check out http://streamsets.com/community. On that page
you will find all the ways you can reach us and channels our team monitors. You can post questions on
Google Groups sdc-user or on StackExchange using the
tag #StreamSets. Post bugs at http://issues.streamsets.com or tweet at us with #StreamSets.

If you need help with production systems, you can check out the variety of support options offered on our
support page.

Contributing Code

We welcome contributors, please check out our guidelines to get started.

Changelog

See the latest changelog