SUMMARY
SQL Server Dev 2017 integrates Machine Learning (ML) capabilities and Python Server, providing a comprehensive data analysis platform. Users have reported positive experiences leveraging these tools for advanced analytics and data processing. The review from ZDNet highlights the addition of Python and graph processing features, enhancing the functionality of SQL Server 2017. For further insights, a relevant book is available on Google Books, detailing practical applications of these technologies.
PREREQUISITES
- Familiarity with SQL Server Dev 2017
- Understanding of Machine Learning concepts
- Proficiency in Python programming
- Knowledge of data analysis techniques
NEXT STEPS
- Explore the integration of Python with SQL Server for data analysis
- Research advanced Machine Learning algorithms applicable in SQL Server 2017
- Learn about graph processing capabilities in SQL Server 2017
- Read the ZDNet review for practical insights and user experiences
USEFUL FOR
Data scientists, machine learning engineers, and software developers interested in leveraging SQL Server 2017 for data analysis and machine learning applications.