Big Data Implementation - Pinto, Marcus Vinicius
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Big Data emerges as a powerful tool that enables the analysis of large volumes of data quickly and efficiently, opening doors to innovation, informed decision-making, and improved customer experience. This book, Implementing Big Data, brings you: Chapter 1 - Big Data: >Chapter 2 - Big Data Implementation: >Chapter 3 - Speaking of Costs: >Chapter 4 - Hidden Costs of Big Data: >Chapter 5 - Big Data for Small Businesses: >Chapter 6 - Pitfalls to Avoid for Better Big Data Management: >Chapter 7 - Big Data Implementation Strategy: >Chapter 8 - Security, Governance, Ethics and Society: >Chapter 9 -…mehr

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Big Data emerges as a powerful tool that enables the analysis of large volumes of data quickly and efficiently, opening doors to innovation, informed decision-making, and improved customer experience. This book, Implementing Big Data, brings you: Chapter 1 - Big Data: >Chapter 2 - Big Data Implementation: >Chapter 3 - Speaking of Costs: >Chapter 4 - Hidden Costs of Big Data: >Chapter 5 - Big Data for Small Businesses: >Chapter 6 - Pitfalls to Avoid for Better Big Data Management: >Chapter 7 - Big Data Implementation Strategy: >Chapter 8 - Security, Governance, Ethics and Society: >Chapter 9 - LGPD vs. GDPR: >Finally, the book "Implementing Big Data" presents a comprehensive and practical view of the various facets of this complex universe, offering valuable insights, tips and real examples to guide companies, professionals and enthusiasts on the journey of harnessing the full potential of Big Data. This book is an indispensable resource for those who want to master and maximize the strategic use of data in the digital age. Get your copy now Who this book is for: This book can be used as a textbook or as a complement to disciplines that intersect with Big Data, Data Science, data processing and Internet information analysis. >About the Author: Marcus Pinto - Prof. Marcão, as he is known by everyone - has a master's degree in Information Technology and has been working in the information architecture and attribute engineering segment since the mid-1980s. He is the proponent of several methodologies, among which the data modeling and data warehouse standards, data model validation and management methodology, and data mart development methodology stand out. A current focus of action is the open government data landscape.
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