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5 | 5 | [](https://goreportcard.com/report/github.com/zncdatadev/trino-operator)
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6 | 6 | [](https://artifacthub.io/packages/helm/kubedoop/trino-operator)
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7 | 7 |
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8 |
| -This is a kubernetes operator to manage apache trino on kubernetes cluster. It's part of the kubedoop ecosystem. |
| 8 | +This is a Kubernetes operator to manage Trino ensembles. |
9 | 9 |
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10 |
| -Kubedoop is a cloud-native big data platform built on Kubernetes, designed to simplify the deployment and management of big data applications on Kubernetes. |
11 |
| -It provides a set of pre-configured Operators to easily deploy and manage various big data components such as HDFS, Hive, Spark, Kafka, and more. |
| 10 | +It's part of the kubedoop Data Platform, a modular open source data platform built on Kubernetes that provides Kubernetes native deployment |
| 11 | +and management of popular open source data apps like Apache Kafka, Apache Doris, Apache Kyuubi, Trino or Apache Spark, all working |
| 12 | +together seamlessly. Based on Kubernetes, it runs everywhere – on prem or in the cloud. |
12 | 13 |
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13 | 14 | ## Quick Start
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14 | 15 |
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@@ -40,23 +41,25 @@ helm install trino-operator kubedoop/trino-operator
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40 | 41 | kubectl apply -f config/samples
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41 | 42 | ```
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42 | 43 |
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43 |
| -## Kubedoop Ecosystem |
| 44 | +## Kubedoop Data Platform Operators |
44 | 45 |
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45 |
| -### Operators |
46 |
| - |
47 |
| -Kubedoop operators: |
| 46 | +These are the operators that are currently part of the Kubedoop Data Platform: |
48 | 47 |
|
| 48 | +- [Kubedoop Operator for Apache Airflow](https://github.com/zncdatadev/airflow-operator) |
49 | 49 | - [Kubedoop Operator for Apache DolphinScheduler](https://github.com/zncdatadev/dolphinscheduler-operator)
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| 50 | +- [Kubedoop Operator for Apache Doris](https://github.com/zncdatadev/doris-operator) |
50 | 51 | - [Kubedoop Operator for Apache Hadoop HDFS](https://github.com/zncdatadev/hdfs-operator)
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51 | 52 | - [Kubedoop Operator for Apache HBase](https://github.com/zncdatadev/hbase-operator)
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52 | 53 | - [Kubedoop Operator for Apache Hive](https://github.com/zncdatadev/hive-operator)
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53 | 54 | - [Kubedoop Operator for Apache Kafka](https://github.com/zncdatadev/kafka-operator)
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| 55 | +- [Kubedoop Operator for Apache Kyuubi](https://github.com/zncdatadev/kyuubi-operator) |
| 56 | +- [Kubedoop Operator for Apache Nifi](https://github.com/zncdatadev/nifi-operator) |
54 | 57 | - [Kubedoop Operator for Apache Spark](https://github.com/zncdatadev/spark-k8s-operator)
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55 | 58 | - [Kubedoop Operator for Apache Superset](https://github.com/zncdatadev/superset-operator)
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56 | 59 | - [Kubedoop Operator for Trino](https://github.com/zncdatadev/trino-operator)
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57 | 60 | - [Kubedoop Operator for Apache Zookeeper](https://github.com/zncdatadev/zookeeper-operator)
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58 | 61 |
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59 |
| -Kubedoop built-in operators: |
| 62 | +And our internal operators: : |
60 | 63 |
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61 | 64 | - [Commons Operator](https://github.com/zncdatadev/commons-operator)
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62 | 65 | - [Listener Operator](https://github.com/zncdatadev/listener-operator)
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