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Modern Data Architecture on Google Cloud. Master the Art of Building High-Performance Data and AI Platforms on GCP for Enterprises Gopal Sahu

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Modern Data Architecture on Google Cloud. Master the Art of Building High-Performance Data and AI Platforms on GCP for Enterprises Gopal Sahu - okladka książki

Modern Data Architecture on Google Cloud. Master the Art of Building High-Performance Data and AI Platforms on GCP for Enterprises Gopal Sahu - okladka książki

Autor:
Gopal Sahu
Serie wydawnicze:
Hands-on
Ocena:
Data is a key asset for organizations in this era of digitization. Harnessing the insights from data is a key challenge as data is generated at high speed and volume. Use cases like advanced analytics, real-time analytics, and data science applications need data to be gathered and processed at scale. With the flexibility and advanced features of the public cloud, organizations are moving their existing data systems to the cloud or building future-ready data platforms.
GCP is one of the leading cloud providers with a huge catalog of data services. GCP uses the same infrastructure that powers Google Search, YouTube, Gmail, etc.
This book is a field guide that helps you build modern platforms on GCP. The book starts by going deep into the fundamentals of data architectures, then takes a hands-on approach to create a unified design for future-ready data platforms, and concludes with best practices for scalability and cost. This book offers a balanced approach of theoretical concepts and hands-on exercises to help readers learn to make decisions for selecting cloud services and technologies for architecture design and implementation.
By the end of the book you'll be able to build Data Architectures using GCP and scale them by Implementing systems for data analysis, visualisation, AI & ML

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O autorze książki

Gopal Sahu is a Strategic Cloud Engineer (Cloud Data Architect) at Google with a decade of experience. He is known for designing datawarehouse and data lake architectures on GCP, modernizing data platforms for Fortune 5 and major e-commerce companies, and building EDW on MPP Database for a Fortune 50 organization. Gopal holds an M.Tech. in Data Science & Engineering from BITS Pilani and is a certified Google Professional Data Engineer. His strategic thinking, technical expertise, and professional qualifications make him a trusted authority in the field of data engineering, driving data innovation and enabling organizations to harness the power of advanced analytics and AI.

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