{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/4"}],"enrichment":{"capability":"Provides Python bindings to manage Azure Data Lake Analytics accounts, jobs, and catalog resources through the Azure Resource Manager API.","skillfed_tags":["azure-sdk","cloud-management","data-lake"],"use_cases":["Automate provisioning and configuration of Data Lake Analytics accounts as part of infrastructure-as-code workflows.","Submit and monitor U-SQL batch jobs programmatically from Python applications or data pipelines.","Query the Data Lake Analytics catalog to discover tables, databases, and schema information.","Manage firewall rules, compute policies, and data source associations for Data Lake Analytics accounts.","Build DevOps automation to scale or update Data Lake Analytics resources in response to workload demands."],"what_it_does":"This package is the Microsoft Azure Data Lake Analytics Management Client Library for Python, providing programmatic access to manage Data Lake Analytics resources via the Azure Resource Manager (ARM) API. It allows you to create and configure Data Lake Analytics accounts, submit and monitor U-SQL jobs, manage data sources and storage, and interact with the catalog\u2014all through Python code rather than the Azure portal.\n\nThe library depends on msrestazure, azure-common, and azure-mgmt-datalake-nspkg to handle REST communication, shared Azure utilities, and namespace packaging. It uses keyword-argument syntax for model objects and returns long-running operations as LROPoller instances for async job tracking. The package is tested against Python 2.7 and 3.4\u20133.6, though no explicit minimum version is enforced.","worth_installing":"Yes, if you are actively managing Azure Data Lake Analytics resources via Python and are comfortable with a library last released in 2018. The package has low install friction, permissive licensing, and no known vulnerabilities. However, verify that it supports your authentication method and Python version before committing; consider checking the Azure SDK documentation for any newer or recommended alternatives for modern Azure deployments."},"id":"azure-mgmt-datalake-analytics","links":{"html":"https://skillfed.io/packages/azure-mgmt-datalake-analytics","md":"https://skillfed.io/packages/azure-mgmt-datalake-analytics.md","pypi":"https://pypi.org/project/azure-mgmt-datalake-analytics/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2018-06-26","license_spdx":null,"license_treatment":"permissive","name":"azure-mgmt-datalake-analytics","python_support":"unspecified","summary":"Microsoft Azure Data Lake Analytics Management Client Library for Python"},"popularity":{"monthly_downloads":2163738,"position":3238,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.6.0"}