Strategies to Reduce Costs and Maximize Big Data Investments (Paperback)
Idioma: inglés
Editorial: Independently Published, 2025
Serie: Libro 13 de 31 - Big Data
- Tapa blanda
- Nuevo
Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
Vendedor de IberLibro desde 29 de junio de 2022
Condición: Nuevo
EUR 25,92
Cantidad disponible: 1 disponible
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Paperback. The digital revolution driven by Big Data has transformed the way companies make decisions and optimize their resources. However, without an efficient strategy, the costs can quickly outweigh the benefits. This book offers an essential guide for professionals and businesses who want to maximize their Big Data investments while reducing operational costs and improving their data infrastructure. With a clear and strategic approach, this work explores the main components of Big Data infrastructure, highlighting everything from initial costs and maintenance to cloud and security models. The reader will find valuable insights to avoid financial waste, implement effective solutions, and ensure that their investments generate maximum returns. Topics covered: - Key components of Big Data infrastructure and their impacts on costs. - Strategies to minimize operational expenses without compromising data quality. - Comparison of storage models: on-premises, public cloud, private and hybrid. - Identification and mitigation of hidden costs in Big Data management. - How small businesses can affordably and efficiently adopt Big Data. - Automation and artificial intelligence for resource optimization and waste reduction. - Secure data retention and disposal policies, ensuring compliance and security. What will you gain from reading this book? - Significantly reduced operating costs without compromising efficiency. - Better understanding of the infrastructure needed to manage large volumes of data. - Effective strategies to maximize return on investment in Big Data. - Identification and elimination of hidden expenses and financial waste. - Insights into emerging trends in cloud computing and hybrid technologies. - Working knowledge on how to structure smart data investments. Target audience: - IT professionals, data scientists, and big data architects. - Managers and decision-makers looking to optimize technological investments. - Small and medium-sized businesses interested in adopting cost-effective Big Data solutions. - Consultants and experts in governance and information security. - Researchers and academics studying cost and efficiency models in Big Data With a practical approach and based on real studies, this book is the definitive tool for any professional who wants to turn financial challenges into strategic opportunities within the Big Data universe. If you are looking for innovation, efficiency, and sustainability for your data investments, this reading is indispensable. About the author.Prof. Marcao, Master in Information Technology and author of more than 200 books, is a technology thinker who has been working in information architecture and attribute engineering since the 1980s. His most significant contribution to the field lies in the development of innovative methodologies for Big Data and Data Warehouse, including data modeling standards, data warehouse, data model validation and management, as well as data mart development. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…
N° de ref. del artículo 9798311668040
- Título
- Strategies to Reduce Costs and Maximize Big Data Investments (Paperback)
- Autor
- Marcus Vinicius Pinto
- Editorial
- Independently Published
- Año de publicación
- 2025
- Estado
- new
- Encuadernación
- Paperback
- Idioma
- inglés
- ISBN 13
- 9798311668040
- Serie
- Libro 13 de 31: Big Data
With a clear and strategic approach, this work explores the main components of Big Data infrastructure, highlighting everything from initial costs and maintenance to cloud and security models. The reader will find valuable insights to avoid financial waste, implement effective solutions, and ensure that their investments generate maximum returns.
Topics covered:
- Key components of Big Data infrastructure and their impacts on costs.
- Strategies to minimize operational expenses without compromising data quality.
- Comparison of storage models: on-premises, public cloud, private and hybrid.
- Identification and mitigation of hidden costs in Big Data management.
- How small businesses can affordably and efficiently adopt Big Data.
- Automation and artificial intelligence for resource optimization and waste reduction.
- Secure data retention and disposal policies, ensuring compliance and security.
What will you gain from reading this book?
- Significantly reduced operating costs without compromising efficiency.
- Better understanding of the infrastructure needed to manage large volumes of data.
- Effective strategies to maximize return on investment in Big Data.
- Identification and elimination of hidden expenses and financial waste.
- Insights into emerging trends in cloud computing and hybrid technologies.
- Working knowledge on how to structure smart data investments.
Target audience:
- IT professionals, data scientists, and big data architects.
- Managers and decision-makers looking to optimize technological investments.
- Small and medium-sized businesses interested in adopting cost-effective Big Data solutions.
- Consultants and experts in governance and information security.
- Researchers and academics studying cost and efficiency models in Big Data
With a practical approach and based on real studies, this book is the definitive tool for any professional who wants to turn financial challenges into strategic opportunities within the Big Data universe. If you are looking for innovation, efficiency, and sustainability for your data investments, this reading is indispensable.
About the author.
Prof. Marcão, Master in Information Technology and author of more than 200 books, is a technology thinker who has been working in information architecture and attribute engineering since the 1980s. His most significant contribution to the field lies in the development of innovative methodologies for Big Data and Data Warehouse, including data modeling standards, data warehouse, data model validation and management, as well as data mart development.
“Sinopsis” puede pertenecer a otra edición de este título.
CitiRetail
Stevenage, Reino Unido
Vendedor de IberLibro desde 29 de junio de 2022
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