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Big Data Analytics: Disruptive Technologies for Changing the Game 0th Edition
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Bringing a practitioner’s view to big data analytics, this work examines the drivers behind big data, identifies use cases, and recommends implementation approaches.
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Detalhes do produto
| Item Weight | 2.5 lbs (1.13 kg) |
Para quem é indicado?
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Data Analysts
Data analysts seeking advanced techniques will benefit from the insights and methodologies outlined in this comprehensive guide.
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Business Leaders
Business leaders looking to leverage big data for strategic decisions can use this book to understand competitive advantages.
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Tech Students
Students studying data science or analytics will find the book an essential resource for understanding disruptive technologies.
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Casual Readers
Individuals looking for light reading may find the technical content overwhelming or excessively detailed for casual interest.
DESCRIÇÃO DO PRODUTO
Big Data Analytics: Disruptive Technologies for Changing the Game 0th Edition
Perguntas e Respostas do cliente
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pergunta:
What is 'Big Data Analytics: Disruptive Technologies for Changing the Game' about?
responda: This book delves into the transformative power of big data analytics and its impact on various industries. It discusses how businesses can leverage disruptive technologies to gain a competitive edge. The narrative is enriched with case studies and real-world applications, making it relevant for both practitioners and scholars. By exploring theoretical frameworks and practical implementations, readers gain a comprehensive understanding of how big data can reshape strategies and operational efficiencies. -
pergunta:
Who is the target audience for this book?
responda: The target audience includes business leaders, data analysts, students, and researchers interested in the intersection of technology and business strategy. Professionals seeking to understand how big data can drive innovation will find the insights particularly valuable. Moreover, educators can use it as a resource for teaching about digital transformation and the analytics landscape, making it a versatile addition to academic curricula. -
pergunta:
What are the key themes covered in this book?
responda: Key themes include the fundamentals of big data analytics, the importance of data-driven decision-making, and insights into emerging technologies. The book also discusses ethical considerations and the future landscape of data analytics in business. By covering both theoretical concepts and practical applications, it prepares readers to navigate the complexities of big data in their professional endeavors. -
pergunta:
How does big data analytics impact business decision-making?
responda: Big data analytics enhances business decision-making by providing actionable insights derived from vast amounts of data. Organizations can identify trends, customer preferences, and operational efficiency opportunities. For instance, a retail company might analyze customer purchasing patterns to optimize inventory, ensuring they meet demand without incurring excess costs. Such data-driven strategies can significantly improve overall business performance. -
pergunta:
Are there any case studies included in the book?
responda: Yes, the book features several case studies that exemplify the practical application of big data analytics in various sectors. These real-world examples illustrate how different organizations have successfully implemented analytics to address challenges and enhance their operations. By analyzing these cases, readers can gain insights into best practices and formulate strategies applicable to their own industries. -
pergunta:
What technologies are discussed in relation to big data?
responda: The book discusses a variety of technologies that facilitate big data analytics including machine learning, artificial intelligence, and cloud computing. These technologies are crucial as they allow organizations to process large datasets efficiently, derive insights, and scale their analytical capabilities. Understanding these tools enables professionals to stay ahead in a rapidly digitizing world, making it essential reading for tech enthusiasts. -
pergunta:
How can this book help professionals in their careers?
responda: This book can help professionals by equipping them with relevant knowledge about big data and its applications in business. It enhances their analytical skills, making them more valuable in the workplace. For example, marketers can use insights from the book to tailor campaigns based on consumer behavior, while managers can improve operations by utilizing data analytics to make informed strategic decisions. -
pergunta:
Is the content suitable for beginners in big data?
responda: Absolutely! The book is structured to cater to readers with varying levels of familiarity with big data analytics. It begins with foundational concepts, making it approachable for beginners while gradually progressing to more complex topics. This balance allows new entrants to build a solid understanding before advancing, thus serving as a useful educational tool. -
pergunta:
Can this book be used for academic purposes?
responda: Yes, this book serves as an excellent resource for academic purposes. It offers a wealth of information on theoretical frameworks and practical applications of big data analytics, making it suitable for coursework in business, data science, and technology. Educators can integrate it into their syllabi for discussions on analytics strategies, equipping students with modern, relevant insights. -
pergunta:
Where can I buy 'Big Data Analytics: Disruptive Technologies for Changing the Game' in Brazil?
responda: You can buy 'Big Data Analytics: Disruptive Technologies for Changing the Game 0th Edition' through Ubuy in Brazil. Ubuy is a reliable platform that offers a wide range of products, including books, and provides an easy shopping experience for customers looking to access quality literature on big data and analytics.
Management Information Systems Editorial Review
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R$ 105
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Características e benefícios
- Gain insights from a practitioner’s perspective on big data analytics.
- Explore key drivers and use cases that define big data applications.
- Learn about recommended implementation strategies for effective analytics.
- Understand how big data is transforming analytics architecture.
- Benefit from the author's 20 years of experience in the field.
- Stay ahead with the latest methodologies in big data analysis.
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