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Yandex Data Processing
  • Getting started
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    • Creating and using Python virtual environments
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In this article:

  • Yandex Data Processing clusters
  • Yandex Data Processing subclusters
  • Apache and other third-party services
  • Delta Lake
  • Jobs
  • Logs and monitoring
  • Other features
  1. Step-by-step guides
  2. All guides

Step-by-step guides for Yandex Data Processing

Written by
Yandex Cloud
Updated at September 25, 2025
  • Yandex Data Processing clusters
  • Yandex Data Processing subclusters
  • Apache and other third-party services
    • Delta Lake
  • Jobs
  • Logs and monitoring
  • Other features

Yandex Data Processing clustersYandex Data Processing clusters

  • Information about existing clusters
  • Creating a cluster
  • Creating a cluster with autoscaling in another folder's network
  • Connecting to a cluster
  • Connecting to a host over SSH
  • Connecting to a host via OS Login
  • Connecting to a host from graphical IDEs
  • Updating a cluster
  • Migrating a lightweight cluster to a different availability zone
  • Deleting a cluster

Yandex Data Processing subclustersYandex Data Processing subclusters

  • Managing subclusters
  • Updating subclusters

Apache and other third-party servicesApache and other third-party services

  • Connecting to component interfaces
  • Using Sqoop
  • Configuring Apache Iceberg™

Delta LakeDelta Lake

  • Setting up Delta Lake in single-cluster mode
  • Setting up Delta Lake in multi-cluster mode
  • Tips for setting up and using Delta Lake

JobsJobs

  • Managing jobs
  • Running jobs
  • Managing Spark jobs
  • Managing PySpark jobs
  • Managing Hive jobs
  • Managing MapReduce jobs

Logs and monitoringLogs and monitoring

  • Working with logs
  • Monitoring the state of Yandex Data Processing clusters and hosts
  • Monitoring the state of Spark applications
  • Diagnostics and troubleshooting of Spark application performance issues

Other featuresOther features

  • Setting up and using Python virtual environments

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