docs/apache-airflow-providers-yandex/operators.rst - airflow - Git at Google

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 Yandex.Cloud Data Proc Operators
 ================================

 `Yandex Data Proc <https://cloud.yandex.com/services/data-proc>`__ is a service
 that helps you deploy Apache Hadoop®* and Apache Spark™ clusters in the Yandex Cloud infrastructure.

 With Data Proc, you can manage the cluster size and node capacity,
 as well as work with various Apache® services,
 such as Spark, HDFS, YARN, Hive, HBase, Oozie, Sqoop, Flume, Tez, and Zeppelin.

 Apache Hadoop is used for storing and analyzing structured and unstructured big data.

 Apache Spark is a tool for quick data processing
 that can be integrated with Apache Hadoop and other storage systems.

 Using the operators
 ^^^^^^^^^^^^^^^^^^^
 To learn how to use Data Proc operators,
 see `example DAGs <https://github.com/apache/airflow/tree/providers-yandex/|version|/tests/system/providers/yandex/example_yandexcloud_dataproc.py>`_.
	.. Licensed to the Apache Software Foundation (ASF) under one
	or more contributor license agreements. See the NOTICE file
	distributed with this work for additional information
	regarding copyright ownership. The ASF licenses this file
	to you under the Apache License, Version 2.0 (the
	"License"); you may not use this file except in compliance
	with the License. You may obtain a copy of the License at

	.. http://www.apache.org/licenses/LICENSE-2.0

	.. Unless required by applicable law or agreed to in writing,
	software distributed under the License is distributed on an
	"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
	KIND, either express or implied. See the License for the
	specific language governing permissions and limitations
	under the License.


	Yandex.Cloud Data Proc Operators
	================================

	`Yandex Data Proc <https://cloud.yandex.com/services/data-proc>`__ is a service
	that helps you deploy Apache Hadoop®* and Apache Spark™ clusters in the Yandex Cloud infrastructure.

	With Data Proc, you can manage the cluster size and node capacity,
	as well as work with various Apache® services,
	such as Spark, HDFS, YARN, Hive, HBase, Oozie, Sqoop, Flume, Tez, and Zeppelin.

	Apache Hadoop is used for storing and analyzing structured and unstructured big data.

	Apache Spark is a tool for quick data processing
	that can be integrated with Apache Hadoop and other storage systems.

	Using the operators
	^^^^^^^^^^^^^^^^^^^
	To learn how to use Data Proc operators,
	see `example DAGs <https://github.com/apache/airflow/tree/providers-yandex/\|version\|/tests/system/providers/yandex/example_yandexcloud_dataproc.py>`_.