Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Architecting Intelligent Data Systems: From Big Data Infrastructure to Advanced Analytics and AI

Architecting Intelligent Data Systems: From Big Data Infrastructure to Advanced Analytics and AI

Lekkala, Chandrakanth

Paperback

General Computers

Publisher Price: $70.00

ISBN10: 9999322034
ISBN13: 9789999322034
Publisher: Eliva Press
Published: Sep 11 2024
Pages: 248
Weight: 0.74
Height: 0.52 Width: 6.00 Depth: 9.00
Language: English
Architecting Intelligent Data Systems: From Big Data Infrastructure to Advanced Analytics and AI by Chandrakanth Lekkala is a definitive guide to modern data system architecture. With 28 meticulously crafted chapters organized into six major parts, this groundbreaking work bridges foundational concepts and cutting-edge advancements in data technologies, from distributed infrastructures to sophisticated AI implementations. Lekkala explores the evolution of data systems, offering deep insights into scalable data pipelines, machine learning, advanced analytics, and emerging trends like quantum computing and privacy-preserving AI. Practical examples, architectural patterns, and real-world use cases span industries such as finance, healthcare, and smart cities, making this book an indispensable resource for data professionals. A hallmark of this text is its focus on ethical AI, data governance, and responsible innovation, ensuring that readers are equipped to navigate the complex challenges of modern data systems with integrity and foresight. Whether you're a data architect, engineer, or researcher, Architecting Intelligent Data Systems provides the tools and insights needed to design scalable, secure, and ethical data solutions. Chandrakanth Lekkala's expertise and vision make this a must-read for anyone shaping the future of data-driven technology.

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