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Anotace knihy

Cloud Data Science Mastery: Unlocking Snowflake's Power with Spark, R, Qubole, and Python is the ultimate guide for data professionals aiming to master cloud-based data science. This book provides actionable insights and practical skills for integrating Snowflake with powerful tools like Spark, Qubole, R, and Python to unlock advanced data analytics and machine learning.
From foundational principles of Snowflake's architecture to real-world applications in generative AI and predictive modeling, this book walks readers through:

• Efficient Data Integration: Seamlessly combine Snowflake with Spark and Qubole for high-performance data processing and transformations.
• Machine Learning with R and Python: Build, evaluate, and deploy models using Snowflake's data ecosystem.
• Data Security and Compliance: Learn best practices to secure sensitive data and meet regulatory standards such as GDPR and HIPAA.

Ideal for data scientists, analysts, and cloud engineers, Cloud Data Science Mastery equips readers with the expertise to drive impactful data science projects on Snowflake's scalable platform.

Parametry knihy

Zařazení knihy Knihy v němčině Naturwissenschaften, Medizin, Informatik, Technik Informatik, EDV Informatik

• Plný název: Cloud Data Science Mastery
• Autor: Timothy Ugbaja
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 286
• EAN: 9798300246907
• ID: 47034652
• Nakladatelství: Amazon Digital Services LLC - Kdp
• Hmotnost: 494 g
• Rozměry: 235 × 191 × 15 mm
• Datum vydání: 19. November 2024

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