Microsoft Azure Purview VS Python Machine Learning

• Comprehensive Data Governance
  Azure Purview provides a unified data governance solution that allows organizations to catalog, manage, and govern their data across various platforms and services.
• Automation and Scanning
  It offers automated data discovery and classification features, helping organizations continuously scan and categorize their data assets without manual intervention.
• Integration with Azure Ecosystem
  Azure Purview seamlessly integrates with other Azure services, enabling organizations to extend their data governance across Azure Data Lake, SQL databases, and other Azure resources.
• Data Lineage Tracking
  The platform provides data lineage capabilities, allowing users to track the flow of data across various processes, which enhances transparency and accountability.
• Security and Compliance
  Azure Purview helps organizations maintain compliance with industry standards by providing tools for data privacy and security management.

Possible disadvantages

• Complexity and Learning Curve
  Due to the comprehensive nature of the tool, there can be a significant learning curve and complexity in setting up and utilizing all of its features effectively.
• Cost Considerations
  As a premium service within the Azure ecosystem, costs can add up quickly, especially for large enterprises with extensive data assets to manage and govern.
• Limited to Azure-First Approach
  While Azure Purview integrates well with other Azure services, it may not offer the same level of integration and support for multi-cloud environments as seen with some competitor solutions.
• Dependency on Azure Platform
  Organizations heavily invested in non-Azure ecosystems may find it less beneficial due to its deep dependency on the Azure platform.
• Customization Limitations
  Users may encounter limitations in customizing certain aspects of the tool to their specific needs, which can impact its utility in specialized use cases.

• Comprehensive Coverage
  The book provides a thorough introduction to machine learning concepts and techniques using Python, making it suitable for both beginners and experienced practitioners.
• Practical Examples
  Includes numerous practical examples and code snippets to illustrate how machine learning algorithms can be implemented in Python.
• Use of Popular Libraries
  Focuses on popular Python libraries like scikit-learn, Keras, and TensorFlow, which are widely used in the industry for machine learning tasks.
• Clear Explanations
  Offers clear and concise explanations of complex topics, making them accessible even to those without a deep mathematical background.

Possible disadvantages

• Not for Advanced Users
  Might be too basic for readers who are already well-versed in machine learning concepts and looking for more advanced techniques and insights.
• Rapid Evolution of Libraries
  Some content may become outdated quickly due to the fast-paced development of Python libraries and machine learning technologies.
• Code Heavy
  The abundance of code examples might be overwhelming for readers who prefer a more conceptual understanding before diving into coding.
• Assumes Programming Knowledge
  Assumes that readers have a basic understanding of Python programming, which might not be suitable for complete beginners in coding.

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Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

• Employees leaking company data.

  Https://azure.microsoft.com/en-us/products/purview Can help with with looking after data access. Source: over 3 years ago

• Which one of the big four are you guys stocking up on now? Apple, Microsoft, Amazon or Google?

  Purview then acts as regulatory compliance and data loss prevention, and can apply to emails, Teams chats, Sharepoint, Onedrive, endpoints, etc (think Symantec) Https://azure.microsoft.com/en-us/products/purview/. Source: almost 4 years ago

Tracking Python Machine Learning since Dec 2022.