SQL Server 2017 VS Full Stack Python

• Cross-Platform Support
  SQL Server 2017 offers cross-platform support, enabling it to run on Windows, Linux, and Docker containers, providing flexibility and integration into various environments.
• Graph Database Capabilities
  Introduces graph database capabilities, allowing the modeling of complex data relationships easily and efficiently, expanding its use cases.
• Advanced Analytics
  Integrates with Microsoft R and Python services, facilitating advanced analytics and machine learning directly within the database, which helps organizations to perform sophisticated data analysis.
• Adaptive Query Processing
  Includes adaptive query processing features to optimize query performance automatically, improving application speed and efficiency.
• Enhanced Security
  SQL Server 2017 continues to enhance security with features like Always Encrypted, Dynamic Data Masking, and Row-Level Security to protect sensitive data.

Possible disadvantages

• Cost
  Licensing and support costs for SQL Server can be relatively high, particularly for enterprise editions, which may not be cost-effective for smaller organizations.
• Complexity
  SQL Server 2017 includes a vast array of features and configurations that can introduce complexity, requiring substantial expertise to manage and optimize.
• Resource Intensive
  Requires significant system resources for optimal performance, which may necessitate additional investment in hardware to operate efficiently at scale.
• Limited NoSQL Functionality
  While SQL Server 2017 introduces some NoSQL features through its support for JSON and graph databases, it still lags behind dedicated NoSQL databases in terms of flexibility and scalability for unstructured data.
• Version-Specific Features
  Some advanced features are only available in the latest versions or specific editions, which may necessitate upgrades or specific licensing to access the full capabilities, leading to additional expenses.

• Comprehensive Resource
  Full Stack Python provides a broad coverage of various topics necessary for modern web development, including web frameworks, deployment, and data management, which helps developers get a lay of the land.
• Beginner-Friendly
  The site is structured in a way that is accessible to beginners, with clear explanations and links to external resources, which assist in further learning.
• Community Driven
  The project has a vibrant community and contributions from numerous developers, ensuring a wide range of perspectives and up-to-date information.
• Open Source
  Full Stack Python is open-source, allowing users to contribute and enhance the material or customize it for personal use.

Possible disadvantages

• Not an In-Depth Tutorial
  While comprehensive, Full Stack Python is not meant to provide deep-dive tutorials but rather overviews and links to other detailed resources, which might not suffice for users seeking step-by-step guides.
• Limited Advanced Concepts
  The site may not cover advanced topics and latest industry trends in as much depth as other resources focusing exclusively on cutting-edge technology.
• Resource Dependent
  Full Stack Python frequently links to other resources, which means the quality and accuracy of content can be dependent on the sources referenced.

SQL Server 2017 – Everything you need to know

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Full Stack Python Developer Road Map

Tracking SQL Server 2017 since Mar 2021.

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  Once you learn Python and have made 5-6 projects, I would suggest to refer fullstackpython.com (DON'T LEARN EVERYTHING, and get anxious). Source: about 4 years ago

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