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Strategies to Reduce Costs and Maximize Big Data Investments
Paperback
Series: Big Data, Book 13
Publisher: Independently Published
Published: Feb 22 2025
Pages: 100
Weight: 0.32
Height: 0.21 Width: 6.00 Depth: 9.00
Language: English
- 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.
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