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| 4 | 4 | provides a simple, powerful programming model for building both batch | |
| 5 | 5 | and streaming parallel data processing pipelines. | |
| 6 | 6 | ||
| 7 | + ## Status | ||
| 8 | + | ||
| 9 | + The Cloud Dataflow SDK is used to access the Google Cloud Dataflow service, | ||
| 10 | + which is currently in Alpha and restricted to whitelisted users. | ||
| 11 | + | ||
| 12 | + The SDK is publicly available and can be used for local execution by anyone. | ||
| 13 | + Note, however, that the SDK is also an Alpha release and may change | ||
| 14 | + significantly over time. The SDK is built to be extensible and support | ||
| 15 | + additional execution environments ("runners") beyond local execution and the | ||
| 16 | + Google Cloud Dataflow service. As the product matures, we look forward to | ||
| 17 | + working with you to improve Cloud Dataflow. | ||
| 18 | + | ||
| 7 | 19 | ## Overview | |
| 8 | 20 | ||
| 9 | 21 | The key concepts in this programming model are: | |
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