SKU/Artículo: AMZ-B0CDZKWXWB
Big Data & Analytics Technology: Improve Profitability with Data-Driven Insights (Technology 101 Book 14)
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0.76 kg
0.76 kg
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Amazon
Amazon
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USA
Sobre este producto
- "Big Data Technology" is a comprehensive guide that takes readers on a transformative journey into the realm of big data and analytics. With a focus on clarity and practical insights, this book unravels the intricacies of big data technology, exploring its evolution, applications, and enduring impact on industries and society. From the fundamental concepts of big data to the advanced analytics techniques, this book covers a wide range of topics. Readers are introduced to the 5Vs of big data—volume, velocity, variety, veracity, and value—shedding light on the unique challenges and opportunities posed by massive datasets. The book explores data collection methods, storage, and management techniques, providing a solid foundation for processing and analyzing vast amounts of data. Through the lens of data analytics, readers are guided through the process of turning raw data into meaningful insights. Descriptive, predictive, and prescriptive analytics techniques are explored, enabling readers to understand the past, forecast the future, and make informed decisions based on data-driven recommendations. The book also delves into data mining techniques, uncovering valuable information buried within complex datasets. Machine learning emerges as a key component of big data analytics, allowing systems to learn from data and make intelligent decisions. The role of statistics in extracting meaningful insights is also explored, along with the power of visual analytics in effectively communicating complex information. The book delves into the applications of big data across various industries, including healthcare, retail, finance, and smart cities. It showcases how big data drives personalized experiences, improves risk management, and shapes the development of smart urban environments. Real-world case studies highlight successful implementations and lessons learned, offering practical insights for readers. Ethical considerations surrounding big data are also addressed, emphasizing the importance of privacy, security, and fairness in data-driven decision-making. Legal and societal implications are explored, providing readers with a comprehensive understanding of responsible data usage. Throughout the book, readers gain a comparative overview of big data tools and platforms, enabling them to choose the right technologies for their specific needs. The importance of developing the necessary skills to thrive in the data-driven economy is also emphasized, highlighting the value of data literacy, analytical thinking, and data management. Looking ahead, the book explores emerging trends and predictions for the future of big data, including the role of big data in the Internet of Things (IoT) and the synergistic relationship with cloud computing. The book concludes with a reflection on the enduring impact of big data and analytics, recognizing its potential to drive innovation, solve complex problems, and shape our world. "Big Data Technology" is an invaluable resource for professionals, researchers, and technology enthusiasts seeking to unlock the power of big data. With its blend of theoretical foundations, practical insights, and ethical considerations, this book empowers readers to navigate the vast landscape of big data technology and harness its potential to drive innovation and make data-driven decisions in the ever-evolving digital world.
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