Efficient Optimization And Processing Of Queries Over Text Rich Graph Structured Data

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Efficient Optimization And Processing Of Queries Over Text Rich Graph Structured Data

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Author : Günter Ladwig
language : en
Publisher: KIT Scientific Publishing
Release Date : 2014-05-13

Efficient Optimization And Processing Of Queries Over Text Rich Graph Structured Data written by Günter Ladwig and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-13 with Computers categories.

Many databases today capture both, structured and unstructured data. Making use of such hybrid data has become an important topic in research and industry. The efficient evaluation of hybrid data queries is the main topic of this thesis. Novel techniques are proposed that improve the whole processing pipeline, from indexes and query optimization to run-time processing. The contributions are evaluated in extensive experiments showing that the proposed techniques improve upon the state of the art.

Efficient Optimization And Processing Of Queries Over Text Rich Graph Structured Data

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Author : Günter Ladwig
language : en
Publisher:
Release Date : 2013

Efficient Optimization And Processing Of Queries Over Text Rich Graph Structured Data written by Günter Ladwig and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.

Many databases today capture both, structured and unstructured data. Making use of such hybrid data has become an important topic in research and industry. The efficient evaluation of hybrid data queries is the main topic of this thesis. Novel techniques are proposed that improve the whole processing pipeline, from indexes and query optimization to run-time processing. The contributions are evaluated in extensive experiments showing that the proposed techniques improve upon the state of the art.

Ranking For Web Data Search Using On The Fly Data Integration

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Author : Herzig, Daniel Markus
language : en
Publisher: KIT Scientific Publishing
Release Date : 2014-01-21

Ranking For Web Data Search Using On The Fly Data Integration written by Herzig, Daniel Markus and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-21 with Computers categories.

Ranking - the algorithmic decision on how relevant an information artifact is for a given information need and the sorting of artifacts by their concluded relevancy - is an integral part of every search engine. In this book we investigate how structured Web data can be leveraged for ranking with the goal to improve the effectiveness of search. We propose new solutions for ranking using on-the-fly data integration and experimentally analyze and evaluate them against the latest baselines.

Redis Unlocked Advanced Techniques And Strategies For Efficient Data Management

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Author : Adam Jones
language : en
Publisher: Walzone Press
Release Date : 2025-01-03

Redis Unlocked Advanced Techniques And Strategies For Efficient Data Management written by Adam Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-03 with Computers categories.

Unlock the full potential of Redis and elevate your application's performance with "Redis Unlocked: Advanced Techniques and Strategies for Efficient Data Management." This expertly crafted guide is essential for mastering Redis, the dynamic in-memory database renowned for its speed and flexibility. Whether you're new to Redis or an experienced developer aiming to enhance your expertise, this book offers a profound exploration of Redis’s rich feature set. The book opens with a thorough introduction to Redis, its core principles, and architectural design before delving into advanced topics, including sophisticated data structures, comprehensive memory management, and key operations. Discover the intricacies of transactions, pipelines, the Pub/Sub model, and effective strategies for securing and managing Redis instances. It also covers persistence strategies, backup solutions, clustering, high availability, and provides valuable insights into performance tuning and optimization. "Redis Unlocked" blends foundational knowledge with advanced topics, equipping you with the skills to design, optimize, and manage Redis deployments that scale dynamically and maintain superior performance under challenging workloads. You'll find practical examples, real-world case studies, and best practices to guide you in leveraging Redis's full capabilities in your solutions. Embark on this advanced journey with "Redis Unlocked: Advanced Techniques and Strategies for Efficient Data Management" and harness Redis's power to build fast, scalable, and resilient applications.

Kubernetes For Data Engineers Orchestrating Big Data And Ai Pipelines 2025

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Author : Author:1- KARAN SINGH ALANG, Author:1- Dr RUPESH MISHRA
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :

Kubernetes For Data Engineers Orchestrating Big Data And Ai Pipelines 2025 written by Author:1- KARAN SINGH ALANG, Author:1- Dr RUPESH MISHRA and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

PREFACE In today’s rapidly evolving world of data engineering, the need for scalable, efficient, and reliable infrastructure has never been more critical. With the advent of big data, artificial intelligence (AI), and machine learning (ML), the complexity of managing and deploying sophisticated data pipelines has grown exponentially. Enter Kubernetes, the open-source platform that has redefined how applications are deployed, scaled, and managed across a distributed environment. Kubernetes for Data Engineers: Orchestrating Big Data and AI Pipelines is written for data engineers, architects, and technologists who seek to leverage the power of Kubernetes in the realm of data processing and AI/ML workflows. This book serves as a practical guide for mastering the skills necessary to efficiently manage large-scale data workloads, while also offering insights into Kubernetes’ core features and its application to data-intensive tasks. Throughout this book, we explore how Kubernetes can help streamline the deployment, management, and scaling of big data technologies and AI/ML pipelines, enabling you to manage diverse tools like Hadoop, Spark, TensorFlow, and more, all within a Kubernetes environment. By adopting Kubernetes’ orchestration and automation capabilities, data engineers can drive performance, reduce overhead, and ensure resilience across the data processing lifecycle. In addition to covering fundamental Kubernetes concepts, we will also dive deep into the specific challenges faced by data engineers and how Kubernetes addresses them. From managing containerized services for distributed systems to automating data pipelines, this book will walk you through hands-on examples, case studies, and best practices to ensure you can effectively apply these concepts in your own projects. As data engineering becomes more intricate and interwoven with AI-driven innovations, the demand for Kubernetes skills will continue to rise. Whether you are already familiar with Kubernetes or just beginning to

The Art Of Ai Product Development

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Author : Janna Lipenkova
language : en
Publisher: Simon and Schuster
Release Date : 2025-07-29

The Art Of Ai Product Development written by Janna Lipenkova and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-29 with Computers categories.

A hands-on guide for delivering value with AI-driven products! Learn how AI can improve content creation, accelerate data analysis, and upgrade process automation. The Art of AI Product Development offers a clear, practical approach to creating products that use AI. It provides real-world guidance on defining your AI strategy, developing useful AI features, and supporting user trust and adoption. Rather than chasing trends, the book focuses on core principles and long-term thinking—foundations that remain relevant as the field evolves. Inside The Art of AI Product Development, you will learn vital skills for the effective use of AI, including: • Identifying market and business opportunities for AI • Gaining an in-depth understanding of modern AI approaches, incl. predictive AI, LLMs, Retrieval-Augmented Generation, and agent systems • Assembling AI solutions that work, without the hype • Efficiently communicating with data scientists and ML engineers • Designing user-friendly AI interfaces that emphasize trust and transparency • Implementing safe, ethical AI with proper governance processes The Art of AI Product Development is written for product managers, tech executives, UX designers, and anyone responsible for the success of an AI-driven product. It introduces a broad spectrum of AI opportunities and case studies from different domains such as marketing, supply chain, and logistics. You’ll carefully progress from initial design conversations, through to efficient and secure development, and on to deployment and day-to-day management of AI-driven applications. About the technology Integrating AI into your software and processes can create real value for your business and its customers—if you do it right. When you’re on the hook for delivering AI-enabled products, you’ll need to spot high-impact opportunities, work effectively with engineers, design user-centric features, avoid common project failures, and manage real-world launches. This book shows you how. About the book The Art of AI Product Development gives you a clear framework, practical tools, and real-world examples to build confidence and succeed with new AI projects—even if you’re tackling AI for the first time. You’ll love the practical use cases and end-to-end scenarios from domains such as marketing, supply chain management, and sustainability. What's inside • Ideate, shape, and prioritize AI opportunities • Develop AI systems with techniques such as prompt engineering, RAG, and predictive AI • Communicate with different AI stakeholders and promote AI adoption About the reader Written for software product managers, business-oriented engineers, UX designers, startup founders, and anyone responsible for developing, designing, or marketing AI products. No experience with AI required. About the author Dr. Janna Lipenkova is the founder of an AI and analytics business where she has successfully managed AI projects for world-class companies like BMW, Lufthansa, and Volkswagen. Table of Contents Part 1 1 Creating value with AI-driven products 2 Discovering and prioritizing AI opportunities 3 Mapping the AI solution space Part 2 4 Predictive AI 5 Exploring and evaluating language models 6 Prompt engineering 7 Search and retrieval-augmented generation 8 Fine-tuning language models 9 Automating workflows with agentic AI Part 3 10 AI user experience: Designing for uncertainty 11 AI governance 12 Working with your stakeholders Appendix A AI development toolbox Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.

Database Engineered Applications

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Author : Richard Chbeir
language : en
Publisher: Springer Nature
Release Date : 2025-03-15

Database Engineered Applications written by Richard Chbeir and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-15 with Computers categories.

This LNCS conference volume constitutes the proceedings of 28th International Symposium on Database Engineered Applications, IDEAS 2024, in Bayonne, France, in August 2024. The 21 full papers together with 5 short papers included in this volume were carefully reviewed and selected from 34 submissions. The symposium presents papers in the broader field of data management and were organized in seven sessions: (1) Theoretical Issues; (2) Classification; (3) Text and Languages; (4) Big Data; (5) Query Processing and Applications; (6) Machine Learning and Rules; (7) Recommendation, and (8) Indexing and Event Detection

Main Memory Management On Relational Database Systems

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Author : Pedro Mejia Alvarez
language : en
Publisher: Springer Nature
Release Date : 2022-08-12

Main Memory Management On Relational Database Systems written by Pedro Mejia Alvarez and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-12 with Computers categories.

This book provides basic knowledge about main memory management in relational databases as it is needed to support large-scale applications processed completely in memory. In business operations, real-time predictability and high speed is a must. Hence every opportunity must be exploited to improve performance, including reducing dependency on the hard disk, adding more memory to make more data resident in the memory, and even deploying an in-memory system where all data can be kept in memory. The book provides one chapter for each of the main related topics, i.e. the memory system, memory management, virtual memory, and databases and their memory systems, and it is complemented by a short survey of six commercial systems: TimesTen, MySQL, VoltDB, Hekaton, HyPer/ScyPer, and SAP HANA.

Sqlite Essentials

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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-03

Sqlite Essentials written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-03 with Computers categories.

"SQLite Essentials" "SQLite Essentials" is an authoritative guide to the world’s most widely deployed database engine, meticulously crafted for professionals and enthusiasts seeking a deep, practical understanding of SQLite. Beginning with the foundational principles of its architecture, the book explores the historical context and technical rationale that shaped SQLite’s evolution. Readers are introduced to the core design decisions—simplicity, portability, and reliability—that underpin its dominance in embedded systems, mobile devices, and modern cloud applications. As the text unfolds, it offers comprehensive coverage of SQL language support, extension mechanisms, file system interactions, and the sophisticated internals that drive SQLite’s renowned efficiency. Readers benefit from detailed discussions of indexing strategies, data integrity, concurrency control, and security best practices—including advanced encryption and injection mitigation techniques. Practical insights abound, with in-depth explanations of programming interfaces, performance tuning, crash recovery, and real-world deployment strategies across mobile, IoT, and serverless environments. Beyond technical mastery, "SQLite Essentials" empowers readers to extend and customize their SQLite implementations by building virtual tables, integrating foreign data sources, and employing fuzz testing for reliability. Thoughtfully organized chapters on maintainability, DevOps integration, and emerging trends ensure this reference remains indispensable for engineers, developers, and architects navigating the fast-evolving landscape of embedded data management. Whether optimizing an existing deployment or architecting new solutions at scale, this book provides the clarity, depth, and practical guidance needed to leverage SQLite to its fullest potential.

Dissertation Abstracts International

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Author :
language : en
Publisher:
Release Date : 2009

Dissertation Abstracts International written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Dissertations, Academic categories.