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Applications Available

The Analytics Environment virtual machine desktop provides the following applications for performing a variety of tasks with your Safe Haven data.

Applications Available Based on User Personas

If you have the LSH Admin persona, LSH Data Scientist persona, or LSH Data Analyst persona, you can access the Analytics Environment . However, your access to applications in the Analytics Environment can differ based on the persona you are granted.

Note

Due to Analytics Environment data access restrictions, a user cannot be granted an LSH Data Scientist persona and either an LSH Data Analyst persona or an LSH Admin persona for the same tenant.

Applications

LSH Admin

LSH Data Scientist

LSH Data Analyst

Tableau Desktop

X mark for lack of support

X mark for lack of support

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Tableau Server

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Jupyter

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X mark for lack of support

DataProc

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X mark for lack of support

BigQuery - Non-aggregated data

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X mark for lack of support

BigQuery - Aggregated data

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BigQuery - Permissioned data

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X mark for lack of support

All Applications

The Analytics Environment virtual machine desktop provides the following applications for performing a variety of tasks with your Safe Haven data:

  • Google Cloud Platform (GCP) console, which provides access to the following applications:

    • BigQuery: A data warehouse that enables fast SQL queries

      The following applications rely on BigQuery data processing engines for running code:

      • BigQuery engine (a fully-managed, big data SQL engine) when using BigQuery console or BigQuery Python API

      • Dataproc Spark cluster (managed Hadoop servers) when using PySpark or Python

    • Dataproc Console: Uses Spark Jobs Submit to submit PySpark and Python jobs to a distributed Hadoop cluster

    Other GCP applications are locked down and cannot be used in your Safe Haven instance.

  • Job Management: Features that enable you to create, schedule, and manage PySpark and Python jobs and receive email notifications about their status.

  • Jupyter: Allows you to manipulate your Safe Haven data interactively using Python or PySpark.

    You can use JupyterLab's GitLab extension to provide version control for your code in JupyterLab.

    Coderepo: From the Jupyter terminal, you can use the command-line interface to perform coderepo operations. For information, see "Use the Command-Line Interface".

  • Tableau Desktop:

    • Users with the LSH Data Analyst persona can access Tableau Desktop to build reports and visualizations.

    • Users with the LSH Admin persona or the LSH Data Scientist persona lack access to Tableau Desktop.

  • Tableau Server: Users who are granted the LSH Data Analyst w publishing persona can edit and publish Tableau reports. Users with the following personas can edit reports but cannot save them:

    • LSH Admin

    • LSH Campaign Planner w report editing

    • LSH Data Analyst w/o publishing

    • LSH Data Scientist

Interactive vs. Non-interactive

Some applications allow you to run code in the following ways:

  • Interactive: You can run the code for each step of the overall process independently and see the results for that step.

  • Non-interactive: The process runs the entire set of code all at once and you wait for all of the code to run before seeing the results. Non-interactive processing is recommended if your code requires advanced scripting or library use.

Tools for querying and analyzing data in an interactive way:

Tools for submitting non-interactive jobs:

See Also

In this section: