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Author: Darmont, Jrme
Publisher: IGI Global
ISBN: 1591406579
Category : Computers
Languages : en
Pages : 452
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Book Description
"This book provides an overall view of the emerging field of complex data processing, highlighting the similarities between the different data, issues and approaches"--Provided by publisher.
Author: Darmont, Jrme
Publisher: IGI Global
ISBN: 1591406579
Category : Computers
Languages : en
Pages : 452
Get Book Here
Book Description
"This book provides an overall view of the emerging field of complex data processing, highlighting the similarities between the different data, issues and approaches"--Provided by publisher.
Author:
Publisher:
ISBN:
Category : Weights and measures
Languages : en
Pages : 780
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Book Description
Author: Aditya Pratap Bhuyan
Publisher: Aditya Pratap Bhuyan
ISBN:
Category : Computers
Languages : en
Pages : 328
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Book Description
Welcome to "Data Structures with Go: A Comprehensive Guide," your gateway to mastering data structures using the Go programming language. In today’s fast-paced software development world, a solid grasp of data structures is essential for creating efficient, scalable, and high-performance applications. This book provides a thorough exploration of data structures through Go, a language known for its simplicity, performance, and robust concurrency support. Why This Book? Data structures are fundamental to computer science and software engineering. They determine how data is organized, stored, and manipulated, significantly impacting the performance and efficiency of algorithms. With Go’s growing popularity for its clean syntax and effective concurrency model, it is an excellent choice for learning and implementing data structures. This book leverages Go’s features to offer practical insights into data structures, making it a valuable resource for developers of all skill levels. What You Will Learn Fundamentals of Data Structures: The book starts with an introduction to data structures, highlighting their importance and role in software development. You’ll explore basic data types in Go and their applications in various data structures. Arrays and Slices: Delve into arrays and slices, foundational structures in Go. Learn how to declare, initialize, and manipulate them, and understand their performance implications and practical uses. Linked Lists: Explore singly and doubly linked lists, including their structures, operations, and Go implementations. Understand how linked lists compare to arrays and slices and their advantages and limitations. Stacks and Queues: Study these essential linear data structures. Learn about stack (LIFO) and queue (FIFO) operations and their implementations in Go. The chapter also covers variants like deques and priority queues. Trees: Understand hierarchical data structures such as binary trees, binary search trees (BST), AVL trees, and Red-Black trees. Learn about tree operations, traversal techniques, and their Go implementations. Graphs: Learn about graph representations, including adjacency matrices and adjacency lists, and explore directed and undirected graphs. This chapter also covers common algorithms like Depth-First Search (DFS) and Breadth-First Search (BFS). Hashing: Discover hashing techniques, hash tables, and collision handling strategies. Implement hash tables in Go and understand their practical applications. Advanced Data Structures: Dive into specialized data structures such as heaps, tries, suffix trees, and Bloom filters. Learn about their implementations and use cases. Algorithms and Data Structures in Practice: Apply data structures to real-world problems. This chapter focuses on sorting and searching algorithms, optimization techniques, and performance profiling in Go. Real-World Applications: Explore how data structures are used in practical projects. Study case studies, best practices, and design patterns for implementing data structures in Go-based systems. Who Should Read This Book? This book caters to: Beginners: Those new to Go or data structures will find a clear, structured introduction. Intermediate Developers: Readers with some experience can deepen their knowledge and tackle advanced topics. Experienced Professionals: Those looking to explore Go or stay updated with modern practices will find valuable insights and practical examples. Learning Approach Emphasizing hands-on learning, the book includes practical examples, exercises, and real-world case studies to reinforce understanding and encourage experimentation. By working through these exercises, you will gain practical experience and a deeper grasp of data structures in Go. "Data Structures with Go: A Comprehensive Guide" is your key to mastering essential computer science principles and applying them effectively in modern applications. Dive in and discover how Go can enhance your skills in building robust, efficient, and scalable systems. Aditya
Author: Shi-kuo Chang
Publisher: World Scientific
ISBN: 9814486159
Category : Computers
Languages : en
Pages : 361
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Book Description
This is an excellent, up-to-date and easy-to-use text on data structures and algorithms that is intended for undergraduates in computer science and information science. The thirteen chapters, written by an international group of experienced teachers, cover the fundamental concepts of algorithms and most of the important data structures as well as the concept of interface design. The book contains many examples and diagrams. Whenever appropriate, program codes are included to facilitate learning.This book is supported by an international group of authors who are experts on data structures and algorithms, through its website at www.cs.pitt.edu/~jung/GrowingBook/, so that both teachers and students can benefit from their expertise.
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309287812
Category : Mathematics
Languages : en
Pages : 191
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Book Description
Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale-terabytes and petabytes-is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge-from computer science, statistics, machine learning, and application disciplines-that must be brought to bear to make useful inferences from massive data.
Author:
Publisher:
ISBN:
Category : Physics
Languages : en
Pages : 484
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Book Description
Author: United States. Patent and Trademark Office
Publisher:
ISBN:
Category : Patents
Languages : en
Pages : 1128
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Book Description
Author: Dama International
Publisher:
ISBN: 9781634622349
Category : Database management
Languages : en
Pages : 628
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Book Description
Defining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas; Providing a functional framework for the implementation of enterprise data management practices; including widely adopted practices, methods and techniques, functions, roles, deliverables and metrics; Establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals. DAMA-DMBOK2 provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure, based on these principles: Data is an asset with unique properties; The value of data can be and should be expressed in economic terms; Managing data means managing the quality of data; It takes metadata to manage data; It takes planning to manage data; Data management is cross-functional and requires a range of skills and expertise; Data management requires an enterprise perspective; Data management must account for a range of perspectives; Data management is data lifecycle management; Different types of data have different lifecycle requirements; Managing data includes managing risks associated with data; Data management requirements must drive information technology decisions; Effective data management requires leadership commitment.
Author:
Publisher:
ISBN:
Category : Patents
Languages : en
Pages : 1112
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Book Description
Author: Cybellium Ltd
Publisher: Cybellium Ltd
ISBN:
Category : Computers
Languages : en
Pages : 223
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Book Description
In this technologically interconnected world, data flows incessantly, traversing systems, applications, and platforms. The efficient exchange of this data is a core pillar in the architecture of modern software systems, and mastering data serialization and formats is essential for ensuring optimal communication and collaboration across the digital realm. "Mastering Data Serialization and Formats" delves deep into the intricacies of data serialization and various formats, serving as a comprehensive resource for both beginners and experienced professionals seeking to enhance their understanding of this critical subject. Whether you are a software developer, data engineer, or technology enthusiast, this book will empower you to harness the full potential of data serialization for your projects. Key Features: 1. Foundational Concepts: Lay the groundwork with a clear and concise explanation of what data serialization is, why it's important, and how it fits into the broader landscape of data management. 2. Exploration of Formats: Delve into the world of data formats, from well-known ones like JSON and XML to more specialized formats such as Protocol Buffers, Avro, and MessagePack. Understand the strengths, weaknesses, and best use cases for each format, enabling you to make informed decisions when selecting the most appropriate format for your specific needs. 3. Efficiency and Performance: Learn strategies to optimize data serialization for efficiency and performance. Discover techniques for reducing data size, enhancing data transmission speed, and minimizing resource consumption. 4. Cross-Language Communication: Grasp the intricacies of enabling seamless communication between applications written in different programming languages. Uncover the challenges and solutions for ensuring compatibility and interoperability across language barriers. 5. Real-World Use Cases: Gain insights into how various industries and domains leverage data serialization to solve complex challenges. From microservices architecture to IoT ecosystems, learn how serialization is pivotal in building robust and scalable systems. 6. Security and Compatibility: Explore best practices for securing serialized data and ensuring backward and forward compatibility. Understand the importance of versioning, schema evolution, and data validation to maintain the integrity of your data. 7. Hands-On Tutorials: Put theory into practice with hands-on tutorials that guide you through implementing data serialization in different programming languages. Develop practical skills that you can apply immediately to your projects. 8. Future Trends: Get a glimpse of the future of data serialization and formats. Stay up-to-date with emerging technologies and standards that are shaping the data landscape, such as GraphQL and Apache Arrow. In a world where data has become the lifeblood of innovation, mastering the art of data serialization and understanding various formats is a critical skill set for professionals across industries. Whether you're building web applications, designing APIs, working on microservices architecture, or creating IoT solutions, the ability to effectively exchange data is a differentiator that can elevate your projects from good to exceptional. "Mastering Data Serialization and Formats" is your roadmap to becoming fluent in the language of data exchange. Through comprehensive explanations, practical examples, and insightful case studies, this book equips you with the tools you need to conquer the challenges of data serialization and formats, unlocking new avenues for innovation and success. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
