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Real-Time Data and Analytics - Building Fast Reliable and Engaging Web Experiences - cover
OUçA EXEMPLO

Real-Time Data and Analytics - Building Fast Reliable and Engaging Web Experiences

Steve Abrams

Narrador Steve Abrams

Editora: Steve Abrams

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Sinopse

In the fast-paced digital age, the ability to harness real-time data and analytics can significantly enhance decision-making processes and elevate user engagement. "Real-Time Data and Analytics: Enhancing Decision-Making and User Engagement" is a comprehensive guide that delves into the transformative power of real-time data, offering insights and practical strategies for leveraging this technology to drive business success. 
Key topics include:Technological Foundations: Discover the essential tools and platforms for real-time data streaming and analytics, and understand the benefits and trade-offs between cloud-based and on-premises solutions.Analytics Techniques and Models: Explore various analytics techniques, including descriptive, predictive, and prescriptive analytics, and how they can be applied in real-time contexts.Use Cases Across Industries: See real-world applications of real-time analytics in finance, healthcare, retail, manufacturing, and media, illustrating how diverse industries benefit from this technology.Data Privacy and Security: Address the critical aspects of protecting real-time data and ensuring compliance with relevant regulations.Future Trends: Stay ahead of the curve with insights into emerging trends in AI, machine learning, IoT, and edge computing that are shaping the future of real-time data analytics. 
Packed with expert insights, practical advice, and case studies, "Real-Time Data and Analytics: Enhancing Decision-Making and User Engagement" is an essential resource for data professionals, business leaders, and anyone looking to unlock the full potential of real-time data. Whether you are just starting your journey or looking to refine your existing strategies, this book provides the knowledge and tools needed to thrive in the age of real-time information.
Duração: aproximadamente 4 horas (04:19:09)
Data de publicação: 21/07/2024; Unabridged; Copyright Year: — Copyright Statment: —