Shankar chintale pradeep (9 risultati)
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Da: California Books, Miami, FL, U.S.A.California Books
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EUR 40,15
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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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EUR 42,80
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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EUR 38,26
EUR 6,86 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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EUR 33,21
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. Google Cloud Platform (GCP) has emerged as a premier leader in cloud analytics, making data engineering skills more critical than ever for modern business success. The current evolution of generative artificial intelligence (AI) and agentic AI has created a significant demand in the data en…gineering discipline since the accuracy and effectiveness of AI output primarily depend on the quality of data. Ensuring high-quality, curated data requires a robust and scalable data engineering platform that can cater to the velocity, veracity, and volume of data.Google is a pioneer in data engineering solutions, which are provided through its GCP. Many of the Fortune 500 companies leverage GCP's services for transforming petabytes of data for analytics, AI, and machine learning (ML). This book begins with data engineering essentials like ETL, ELT, and big data roles before moving into GCP environment setup and security. You will learn BigQuery for data warehousing and SQL optimization, followed by real-time ingestion using Pub/Sub, Dataflow, and Datastream. You will learn to integrate machine learning viaVertex AI pipelines. Finally, it will provide the skills to use the processed data for analytics, AI, and ML use cases.After finishing this book, you will possess the technical competence to design, build, and monitor professional-grade data solutions on Google Cloud. You will be ready to tackle real-world challenges, from automating complex workflows to leveraging AI for predictive analytics in any enterprise environment.What you will learn Develop highly scalable, modern data engineering solutions in GCP. Optimize BigQuery performance using advanced table partitioning and data clustering. Build streaming pipelines using Pub/Sub, Dataflow, and the Apache Beam framework. Deploy Spark and Hadoop clusters on Dataproc with GCS lakes. Apply data mesh, generative AI, and decentralized data strategies. Learn enterprise ETL and ELT architectures through managed Cloud Composer and Apache Airflow.Who this book is forThis book is for data architects, data engineers, data analysts, and ML engineers working on transforming raw data to curated, quality data for enterprise consumption. It caters to beginners as well as experienced data professionals and students who want to become data professionals.Table of Contents1. Foundations of Data Engineering2. Data Engineering Services in GCP3. BigQuery Data Warehousing Service4. Data Ingestion Using Pub/Sub and Dataflow5. ETL and Orchestration Using Cloud Composer6. Data Lakes Using Cloud Storage and Dataproc7. Data Visualization Using BigQuery and Looker8. Data Migration Using Database Migration Service9. Data Integration and Machine Learning Pipelines in GCP10. Cloud Monitoring, DevOps Automation and Best Practices11. Data Exchange and Sharing Using BigQuery Sharing12. Emerging Trends and Real-world Use Cases This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 34,29
EUR 43,24 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. Google Cloud Platform (GCP) has emerged as a premier leader in cloud analytics, making data engineering skills more critical than ever for modern business success. The current evolution of generative artificial intelligence (AI) and agentic AI has created a significant demand in the data en…gineering discipline since the accuracy and effectiveness of AI output primarily depend on the quality of data. Ensuring high-quality, curated data requires a robust and scalable data engineering platform that can cater to the velocity, veracity, and volume of data.Google is a pioneer in data engineering solutions, which are provided through its GCP. Many of the Fortune 500 companies leverage GCP's services for transforming petabytes of data for analytics, AI, and machine learning (ML). This book begins with data engineering essentials like ETL, ELT, and big data roles before moving into GCP environment setup and security. You will learn BigQuery for data warehousing and SQL optimization, followed by real-time ingestion using Pub/Sub, Dataflow, and Datastream. You will learn to integrate machine learning viaVertex AI pipelines. Finally, it will provide the skills to use the processed data for analytics, AI, and ML use cases.After finishing this book, you will possess the technical competence to design, build, and monitor professional-grade data solutions on Google Cloud. You will be ready to tackle real-world challenges, from automating complex workflows to leveraging AI for predictive analytics in any enterprise environment.What you will learn Develop highly scalable, modern data engineering solutions in GCP. Optimize BigQuery performance using advanced table partitioning and data clustering. Build streaming pipelines using Pub/Sub, Dataflow, and the Apache Beam framework. Deploy Spark and Hadoop clusters on Dataproc with GCS lakes. Apply data mesh, generative AI, and decentralized data strategies. Learn enterprise ETL and ELT architectures through managed Cloud Composer and Apache Airflow.Who this book is forThis book is for data architects, data engineers, data analysts, and ML engineers working on transforming raw data to curated, quality data for enterprise consumption. It caters to beginners as well as experienced data professionals and students who want to become data professionals.Table of Contents1. Foundations of Data Engineering2. Data Engineering Services in GCP3. BigQuery Data Warehousing Service4. Data Ingestion Using Pub/Sub and Dataflow5. ETL and Orchestration Using Cloud Composer6. Data Lakes Using Cloud Storage and Dataproc7. Data Visualization Using BigQuery and Looker8. Data Migration Using Database Migration Service9. Data Integration and Machine Learning Pipelines in GCP10. Cloud Monitoring, DevOps Automation and Best Practices11. Data Exchange and Sharing Using BigQuery Sharing12. Emerging Trends and Real-world Use Cases This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 42,72
EUR 43,24 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. Cloud computing has become the essential foundation for modern digital transformation, enabling businesses to scale rapidly and innovate through on-demand technology. This book is an all-encompassing guide designed to empower IT professionals and beginners alike with the knowledge and skill…s needed to master cloud computing.This book offers a user-friendly approach to learning, covering everything from fundamental concepts to advanced techniques across major cloud platforms like AWS, Azure, and Google Cloud. You will master core infrastructure like EC2 and Kubernetes while exploring advanced security, data management, and automated machine learning pipelines specifically within the Azure ecosystem. It further addresses multi-cloud strategies, hybrid infrastructure, and real-world projects essential for enterprise environments. Every chapter combines technical knowledge with certification guidance, offering a complete roadmap to success in the evolving cloud landscape.By the end of this book, you will possess a professional-grade understanding of the global cloud market and the technical competence to deploy secure, AI-enhanced solutions. You will be fully prepared to navigate complex cloud architectures and advance your career in this high-growth industry.WHAT YOU WILL LEARN Analyze virtualization layers and architectural components. Implement AWS global infrastructure. Configure Azure Active Directory. Orchestrate containerized applications using Amazon EKS. Scale ChatGPT on cloud infrastructure. Design hybrid cloud architectures. Build an automated machine learning pipeline.WHO THIS BOOK IS FORThis book caters to beginners and experienced professionals, including software engineers, data scientists, and system architects. No prior cloud experience is required, though basic technical literacy helps. It is ideal for the existing workforce aiming to master modern cloud-native infrastructures. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 61,76
EUR 32,05 spedizioneSpedito da Australia a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. Cloud computing has become the essential foundation for modern digital transformation, enabling businesses to scale rapidly and innovate through on-demand technology. This book is an all-encompassing guide designed to empower IT professionals and beginners alike with the knowledge and skill…s needed to master cloud computing.This book offers a user-friendly approach to learning, covering everything from fundamental concepts to advanced techniques across major cloud platforms like AWS, Azure, and Google Cloud. You will master core infrastructure like EC2 and Kubernetes while exploring advanced security, data management, and automated machine learning pipelines specifically within the Azure ecosystem. It further addresses multi-cloud strategies, hybrid infrastructure, and real-world projects essential for enterprise environments. Every chapter combines technical knowledge with certification guidance, offering a complete roadmap to success in the evolving cloud landscape.By the end of this book, you will possess a professional-grade understanding of the global cloud market and the technical competence to deploy secure, AI-enhanced solutions. You will be fully prepared to navigate complex cloud architectures and advance your career in this high-growth industry.WHAT YOU WILL LEARN Analyze virtualization layers and architectural components. Implement AWS global infrastructure. Configure Azure Active Directory. Orchestrate containerized applications using Amazon EKS. Scale ChatGPT on cloud infrastructure. Design hybrid cloud architectures. Build an automated machine learning pipeline.WHO THIS BOOK IS FORThis book caters to beginners and experienced professionals, including software engineers, data scientists, and system architects. No prior cloud experience is required, though basic technical literacy helps. It is ideal for the existing workforce aiming to master modern cloud-native infrastructures. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Da: preigu, Osnabrück, Germaniapreigu
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 48,30
EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 5 disponibili
Taschenbuch. Condizione: Neu. Cloud Computing Essentials | Navigating cloud certification pathways through infrastructure technical mastery (English Edition) | Pradeep Shankar Chintale | Taschenbuch | Englisch | 2026 | BPB Publications | EAN 9789378548956 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad…Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 57,65
EUR 63,81 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Cloud computing has become the essential foundation for modern digital transformation, enabling businesses to scale rapidly and innovate through on-demand technology. This book is an all-encompassing guide designed to empower IT profess…ionals and beginners alike with the knowledge and skills needed to master cloud computing.This book offers a user-friendly approach to learning, covering everything from fundamental concepts to advanced techniques across major cloud platforms like AWS, Azure, and Google Cloud. You will master core infrastructure like EC2 and Kubernetes while exploring advanced security, data management, and automated machine learning pipelines specifically within the Azure ecosystem. It further addresses multi-cloud strategies, hybrid infrastructure, and real-world projects essential for enterprise environments. Every chapter combines technical knowledge with certification guidance, offering a complete roadmap to success in the evolving cloud landscape.By the end of this book, you will possess a professional-grade understanding of the global cloud market and the technical competence to deploy secure, AI-enhanced solutions. You will be fully prepared to navigate complex cloud architectures and advance your career in this high-growth industry.WHAT YOU WILL LEARN¿ Analyze virtualization layers and architectural components.¿ Implement AWS global infrastructure.¿ Configure Azure Active Directory.¿ Orchestrate containerized applications using Amazon EKS.¿ Scale ChatGPT on cloud infrastructure.¿ Design hybrid cloud architectures.¿ Build an automated machine learning pipeline.WHO THIS BOOK IS FORThis book caters to beginners and experienced professionals, including software engineers, data scientists, and system architects. No prior cloud experience is required, though basic technical literacy helps. It is ideal for the existing workforce aiming to master modern cloud-native infrastructures.
