Isbn: 9798904511388 - the future of data platforms: cloud databases and big data technologies (7 resultados)

Condición: New.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Buch. Condición: Neu. Neuware - In today's data-driven world, organizations are transforming how they manage and analyze information. This book provides a clear and comprehensive guide to the evolution of data platforms-from traditional databases and data warehouses to modern cloud-based systems.It explores key concepts such as cloud databases, distributed architectures, and the differences between relational and NoSQL systems, highlighting their role in scalability, flexibility, and performance. Readers are introduced to powerful big data technologies like Hadoop and Spark, along with real-time data streaming and advanced storage solutions.The book also covers essential data engineering practices, including ETL/ELT processes, data pipelines, and workflow automation for efficient data handling. Finally, it examines future trends such as serverless computing, multi-cloud architectures, and AI integration, preparing readers for next-generation data ecosystems.Ideal for students and professionals, this book offers practical insights, structured learning, and real-world relevance to navigate the rapidly evolving data landscape.…

Hardcover. Condición: new. Hardcover. In today's data-driven world, organizations are transforming how they manage and analyze information. This book provides a clear and comprehensive guide to the evolution of data platforms-from traditional databases and data warehouses to modern cloud-based systems.It explores key concepts such as cloud databases, distributed architectures, and the differences between relational and NoSQL systems, highlighting their role in scalability, flexibility, and performance. Readers are introduced to powerful big data technologies like Hadoop and Spark, along with real-time data streaming and advanced storage solutions.The book also covers essential data engineering practices, including ETL/ELT processes, data pipelines, and workflow automation for efficient data handling. Finally, it examines future trends such as serverless computing, multi-cloud architectures, and AI integration, preparing readers for next-generation data ecosystems.Ideal for students and professionals, this book offers practical insights, structured learning, and real-world relevance to navigate the rapidly evolving data landscape. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Condición: new. Hardcover. In today's data-driven world, organizations are transforming how they manage and analyze information. This book provides a clear and comprehensive guide to the evolution of data platforms-from traditional databases and data warehouses to modern cloud-based systems.It explores key concepts such as cloud databases, distributed architectures, and the differences between relational and NoSQL systems, highlighting their role in scalability, flexibility, and performance. Readers are introduced to powerful big data technologies like Hadoop and Spark, along with real-time data streaming and advanced storage solutions.The book also covers essential data engineering practices, including ETL/ELT processes, data pipelines, and workflow automation for efficient data handling. Finally, it examines future trends such as serverless computing, multi-cloud architectures, and AI integration, preparing readers for next-generation data ecosystems.Ideal for students and professionals, this book offers practical insights, structured learning, and real-world relevance to navigate the rapidly evolving data landscape. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardcover. Condición: new. Hardcover. In today's data-driven world, organizations are transforming how they manage and analyze information. This book provides a clear and comprehensive guide to the evolution of data platforms-from traditional databases and data warehouses to modern cloud-based systems.It explores key concepts such as cloud databases, distributed architectures, and the differences between relational and NoSQL systems, highlighting their role in scalability, flexibility, and performance. Readers are introduced to powerful big data technologies like Hadoop and Spark, along with real-time data streaming and advanced storage solutions.The book also covers essential data engineering practices, including ETL/ELT processes, data pipelines, and workflow automation for efficient data handling. Finally, it examines future trends such as serverless computing, multi-cloud architectures, and AI integration, preparing readers for next-generation data ecosystems.Ideal for students and professionals, this book offers practical insights, structured learning, and real-world relevance to navigate the rapidly evolving data landscape. 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.…