Azure Data Playground
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Imagine building data pipelines, querying petabytes of structured or streaming data, exploring interactive dashboards, or analyzing insights with machine learning—all in a fully contained, browser-based sandbox.

The Azure Data Playground turns these possibilities into reality—without needing to configure a thing. Dive in and explore Azure’s premier data services, right at your fingertips.

What Is the Azure Data Playground?

The Azure Data Playground is your hands-on environment to explore Azure’s robust data stack. From ingestion to transformation, analysis to visualization, you can prototype real-world data workflows using services like Azure Synapse, Data Factory, Data Explorer, Stream Analytics, Machine Learning, and more.

Designed to support safe experimentation, the playground offers a pre-configured environment with guided access to Azure’s most powerful data tools—perfect for learning, testing, and building.

Azure Data Playground – Features

Playground Notes:

  • 3-Hour Sessions:
    • Each session runs for up to 3 hours, giving you a focused window to build, test, and validate end-to-end data workflows.
  • Safe, Isolated Sandbox:
    • The environment is completely isolated—meaning you can break things, start over, and iterate without any risk to production systems.
  • Supervised Access:
    • Activity is continuously monitored to keep the experience fair and productive. Misuse may result in temporary access blocks—but you’re always welcome to return and continue exploring.

Playground Limits & Restrictions


Note:
Azure Data Playground inherits general Azure Playground policies, with some custom constraints per service. Here's a quick overview:
Azure Stream Analytics
Allowed:
  • Job Name: kk-stream-job
  • Max 1 job allowed
  • Max 2 streaming units
Azure Data Factory
Restriction:
  • Only default Integration Runtimes are allowed.
Azure Data Explorer
Allowed:
  • Allowed SKUs:
    • Only Dev(No SLA)_Standard_E2a_v4
    Tier:
    • Only Basic tier permitted
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Azure Synapse Analytics

Limits:

  • Only built-in SQL pool supported
  • Max 1 workspace

Spark Pool:

  • Node size: Small only
  • Max 3 nodes per cluster
  • Autoscale must be disabled
Azure Analysis Services
Restriction:
  • Only Developer (D1) pricing tier is supported
Azure Machine Learning Service
Allowed:
  • Allowed SKUs:
    • DS1 v2, D2 v2, DS2 v2, DS3 v2
    • F2s v2, F4s v2
    • D2 v3, D2s v3
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Other Services Allowed

Azure Data Lake Storage Gen2 is supported for storage needs adhering to the standard Azure storage restrictions.


Please remember to stay within the playground limits while experimenting. These boundaries ensure a stable, fair, and productive experience for everyone.