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Big Data Implementation
Paperback
Series: Big Data, Book 10
Publisher: Independently Published
Published: Feb 18 2024
Pages: 166
Weight: 0.66
Height: 0.35 Width: 7.00 Depth: 10.00
Language: English
In the first chapter, we explore the fundamentals of Big Data, introducing the 5 Vs of the concept - Volume, Velocity, Variety, Veracity, and Value - that underlie the analysis and processing of large data sets. Chapter 2 - Big Data Implementation:
Explore the costs associated with implementing and maintaining Big Data systems, from initial infrastructure to human capital investments. Chapter 4 - Hidden Costs of Big Data:
We reveal the often overlooked hidden costs in the implementation of Big Data projects. Chapter 5 - Big Data for Small Businesses:
Explore the essential tools and tips to maximize the potential of Big Data, strengthen customer relationships, and drive business growth, regardless of company size. Chapter 6 - Pitfalls to Avoid for Better Big Data Management:
We highlight the key pitfalls and common mistakes that organizations can face when dealing with Big Data, offering guidance and strategies to avoid problems and ensure effective data management. Chapter 7 - Big Data Implementation Strategy:
We present a step-by-step approach to the successful implementation of Big Data projects, from goal setting to continuous process improvement, data collection, analysis, visualization, and protection. Chapter 8 - Security, Governance, Ethics and Society:
We explore the importance of security, governance, and ethics in the context of Big Data, highlighting best practices for data protection. Chapter 9 - LGPD vs. GDPR:
Comparison between Brazil's General Data Protection Law (LGPD) and the European Union's General Data Protection Regulation (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.
In addition, it can be used by professionals in information technology, data management, data architecture, attribute engineering, business analysts and systems analysts involved in data analysis projects. 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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