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@@ -31,10 +31,31 @@ Apache Druid (incubating) is a high performance analytics data store for event-d | |
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*Disclaimer: Apache Druid is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF.* | ||
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### Getting Started | ||
### Getting started | ||
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You can get started with Druid with our [quickstart](https://druid.apache.org/docs/latest/tutorials/quickstart.html). | ||
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Druid provides a rich set of APIs (via HTTP and [JDBC](https://druid.apache.org/docs/latest/querying/sql.html#jdbc)) for loading, managing, and querying your data. | ||
You can also interact with Druid via the [built-in console](https://druid.apache.org/docs/latest/operations/druid-console.html) (shown below). | ||
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#### Load data | ||
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[![data loader Kafka](https://user-images.githubusercontent.com/177816/65819337-054eac80-e1d0-11e9-8842-97b92d8c6159.gif)](https://druid.apache.org/docs/latest/ingestion/index.html) | ||
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Load [streaming](https://druid.apache.org/docs/latest/ingestion/index.html#streaming) and [batch](https://druid.apache.org/docs/latest/ingestion/index.html#batch) data using a point-and-click wizard to guide you through ingestion setup. Monitor one off tasks and ingestion supervisors. | ||
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#### Manage the cluster | ||
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[![management](https://user-images.githubusercontent.com/177816/65819338-08499d00-e1d0-11e9-80fe-faee9e9468cb.gif)](https://druid.apache.org/docs/latest/ingestion/data-management.html) | ||
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Manage your cluster with ease. Get a view of your datasources, [segments](https://druid.apache.org/docs/latest/design/segments.html), [ingestion tasks](https://druid.apache.org/docs/latest/ingestion/tasks.html), and [servers]() from one convenient location. All powered by [SQL systems tables](https://druid.apache.org/docs/latest/querying/sql.html#metadata-tables) allowing you to see the underlying query for each view. | ||
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#### Issue queries | ||
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[![query view combo](https://user-images.githubusercontent.com/177816/65819341-0c75ba80-e1d0-11e9-9730-0f2d084defcc.gif)](https://druid.apache.org/docs/latest/querying/sql.html) | ||
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Use the built-in query workbench to prototype [DruidSQL](https://druid.apache.org/docs/latest/querying/sql.html) and [native](https://druid.apache.org/docs/latest/querying/querying.html) queries or connect one of the [many tools](https://druid.apache.org/libraries.html) that help you make the most out of Druid. | ||
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### Documentation | ||
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You can find the [documentation for the latest Druid release](https://druid.apache.org/docs/latest/) on | ||
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Development discussions occur on [[email protected]](https://lists.apache.org/[email protected]), which | ||
you can subscribe to by emailing [[email protected]](mailto:[email protected]). | ||
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Some committers and users are present in the channel `#druid` on the Apache Slack team. Please use our [invitation link to join](https://druid.apache.org/community/join-slack), and once you join, add the `#druid` channel. | ||
Chat with Druid committers and users in real-time on the `#druid` channel in the Apache Slack team. Please use [this invitation link to join the ASF Slack](https://s.apache.org/slack-invite), and once joined, go into the `#druid` channel. | ||
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### Building From Source | ||
### Building from source | ||
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Please note that JDK 8 is required to build Druid. | ||
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