Architecting Intelligent Search Systems From Lucene To The Cloud 2025

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Architecting Intelligent Search Systems From Lucene To The Cloud 2025

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Author :
language : en
Publisher: RAVEENA PRAKASHAN OPC PVT LTD
Release Date :

Architecting Intelligent Search Systems From Lucene To The Cloud 2025 written by and has been published by RAVEENA PRAKASHAN OPC PVT LTD this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

PREFACE In today’s data-driven world, the ability to efficiently search through vast amounts of information is more important than ever. From simple web search engines to complex enterprise-level information retrieval systems, intelligent search technologies power critical applications across industries such as e-commerce, healthcare, finance, and beyond. Over the years, search systems have evolved from basic keyword matching algorithms to highly sophisticated, machine learning-powered solutions capable of delivering personalized, relevant, and real-time results. Architecting Intelligent Search Systems: From Lucene to the Cloud explores the transformation of search technology, tracing its journey from the early days of Apache Lucene, one of the most influential open-source search engines, to modern cloud-based architectures powered by artificial intelligence (AI) and machine learning. This book provides a comprehensive guide for understanding the core principles, technologies, and design patterns that enable the creation of intelligent search systems capable of handling complex, large-scale data. The book is intended for a wide range of readers, including software architects, developers, and engineers involved in the design, implementation, and optimization of search systems. Whether you’re building an internal search solution for your enterprise or developing a consumer-facing search product, this book will equip you with the knowledge and tools to make informed decisions and create highly scalable, efficient, and intelligent search architectures. We begin with a deep dive into the fundamentals of search technologies, exploring the architecture of Apache Lucene, the open-source search library that laid the foundation for modern search engines. We examine the key concepts behind indexing, tokenization, ranking, and query execution, offering insights into the power of these early search systems and how they shaped the development of future search technologies. As we move forward, we explore how these fundamental principles have evolved with the rise of cloud computing. Cloud-based search architectures have changed the landscape by providing on-demand scalability, flexibility, and the ability to process massive amounts of data across distributed systems. Leveraging cloud platforms like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud, businesses can now deploy search systems that scale to meet the demands of big data, deliver real-time results, and integrate seamlessly with other cloud-based services and applications. The book also delves into the integration of machine learning and artificial intelligence into search systems, showcasing how these technologies enhance search capabilities. From semantic search that understands the context behind queries to recommendation engines that predict user preferences, AI-driven search solutions are setting new standards in personalization, relevance, and efficiency. We examine the architectural decisions needed to integrate machine learning models into search systems, as well as how these models can be trained, deployed, and continuously improved. Another important aspect of modern search systems is their ability to handle multilingual content, rich media (such as images, video, and audio), and complex query languages. This book explores the challenges and techniques used in developing search engines that can support a wide variety of data types, from traditional text to more complex unstructured data, and how to handle them efficiently. Ultimately, Architecting Intelligent Search Systems is not just about the technologies themselves; it is about how to architect and design search systems that meet real-world business needs. Through detailed examples, case studies, and best practices, the book illustrates how to approach search system architecture from both a technical and strategic perspective, ensuring that search solutions are not only powerful but also aligned with organizational goals and user requirements. Whether you are looking to understand the evolution of search technology, architect a robust and intelligent search system, or explore the latest trends in cloud-based and AI-powered search solutions, this book will serve as a valuable resource in your journey. By the end of this book, you will be equipped with the knowledge to design, build, and optimize search systems that deliver relevant, real-time results, ensuring a seamless experience for users and unlocking the potential of your data. Authors

Lucene In Action

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Author : Michael McCandless
language : en
Publisher: Manning Publications
Release Date : 2010

Lucene In Action written by Michael McCandless and has been published by Manning Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Computers categories.

Lucene remains an indispensable part of most enterprise applications. This search engine now powers Web options in diverse companies, including Netflix, LinkedIn, and the Mayo Clinic. This updated edition is the definitive guide to developing with Lucene.

Relevant Search

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Author : John Berryman
language : en
Publisher: Simon and Schuster
Release Date : 2016-06-19

Relevant Search written by John Berryman 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 2016-06-19 with Computers categories.

Summary Relevant Search demystifies relevance work. Using Elasticsearch, it teaches you how to return engaging search results to your users, helping you understand and leverage the internals of Lucene-based search engines. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Users are accustomed to and expect instant, relevant search results. To achieve this, you must master the search engine. Yet for many developers, relevance ranking is mysterious or confusing. About the Book Relevant Search demystifies the subject and shows you that a search engine is a programmable relevance framework. You'll learn how to apply Elasticsearch or Solr to your business's unique ranking problems. The book demonstrates how to program relevance and how to incorporate secondary data sources, taxonomies, text analytics, and personalization. In practice, a relevance framework requires softer skills as well, such as collaborating with stakeholders to discover the right relevance requirements for your business. By the end, you'll be able to achieve a virtuous cycle of provable, measurable relevance improvements over a search product's lifetime. What's Inside Techniques for debugging relevance? Applying search engine features to real problems? Using the user interface to guide searchers? A systematic approach to relevance? A business culture focused on improving search About the Reader For developers trying to build smarter search with Elasticsearch or Solr. About the Authors Doug Turnbull is lead relevance consultant at OpenSource Connections, where he frequently speaks and blogs. John Berryman is a data engineer at Eventbrite, where he specializes in recommendations and search. Foreword author, Trey Grainger, is a director of engineering at CareerBuilder and author of Solr in Action. Table of Contents The search relevance problem Search under the hood Debugging your first relevance problem Taming tokens Basic multifield search Term-centric search Shaping the relevance function Providing relevance feedback Designing a relevance-focused search application The relevance-centered enterprise Semantic and personalized search

Collective Intelligence In Action

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Author : Satnam Alag
language : en
Publisher: Manning Publications
Release Date : 2008

Collective Intelligence In Action written by Satnam Alag and has been published by Manning Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computers categories.

Provides information on using a Java-based CI toolkit to mine information to build more effective Web sites.

Learning Elastic Stack 7 0

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Author : Pranav Shukla
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-05-31

Learning Elastic Stack 7 0 written by Pranav Shukla and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-31 with Computers categories.

A beginner's guide to storing, managing, and analyzing data with the updated features of Elastic 7.0 Key FeaturesGain access to new features and updates introduced in Elastic Stack 7.0Grasp the fundamentals of Elastic Stack including Elasticsearch, Logstash, and KibanaExplore useful tips for using Elastic Cloud and deploying Elastic Stack in production environmentsBook Description The Elastic Stack is a powerful combination of tools for techniques such as distributed search, analytics, logging, and visualization of data. Elastic Stack 7.0 encompasses new features and capabilities that will enable you to find unique insights into analytics using these techniques. This book will give you a fundamental understanding of what the stack is all about, and help you use it efficiently to build powerful real-time data processing applications. The first few sections of the book will help you understand how to set up the stack by installing tools, and exploring their basic configurations. You’ll then get up to speed with using Elasticsearch for distributed searching and analytics, Logstash for logging, and Kibana for data visualization. As you work through the book, you will discover the technique of creating custom plugins using Kibana and Beats. This is followed by coverage of the Elastic X-Pack, a useful extension for effective security and monitoring. You’ll also find helpful tips on how to use Elastic Cloud and deploy Elastic Stack in production environments. By the end of this book, you’ll be well versed with the fundamental Elastic Stack functionalities and the role of each component in the stack to solve different data processing problems. What you will learnInstall and configure an Elasticsearch architectureSolve the full-text search problem with ElasticsearchDiscover powerful analytics capabilities through aggregations using ElasticsearchBuild a data pipeline to transfer data from a variety of sources into Elasticsearch for analysisCreate interactive dashboards for effective storytelling with your data using KibanaLearn how to secure, monitor and use Elastic Stack’s alerting and reporting capabilitiesTake applications to an on-premise or cloud-based production environment with Elastic StackWho this book is for This book is for entry-level data professionals, software engineers, e-commerce developers, and full-stack developers who want to learn about Elastic Stack and how the real-time processing and search engine works for business analytics and enterprise search applications. Previous experience with Elastic Stack is not required, however knowledge of data warehousing and database concepts will be helpful.

Mastering Apache Solr

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Author : Mr. Mathieu Nayrolles
language : en
Publisher: inKstall Solutions
Release Date : 2014-05-15

Mastering Apache Solr written by Mr. Mathieu Nayrolles and has been published by inKstall Solutions this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-15 with Computers categories.

Topic: In the open source, full-text search community, a leader emerges – Apache Solr. Apache Solr enables you to index and access documents orders of magnitude faster than classical databases and thereby provides a first-class search experience to your end users. Brief Description: Mastering Apache Solr is a practical, hands-on guide containing crisp, relevant, systematically arranged, and progressive chapters. These chapters contain a wealth of information presented in a direct and easy-to-understand manner. This book covers key technical concepts, highlighting Solr's supremacy over classical databases in full-text search, which will help you accelerate your progress in the Solr world. Detailed Description: Mastering Apache Solr starts with an introduction to Apache Solr, its underlying technologies, the main differences between the classical database engines, and gradually moves to more advance topics like boosting performance. In this book, we will look under the hood of a large number of topics and discuss answers to pertinent questions like why denormalize data, how to import classical databases' data inside Apache Solr, how to serve Solr through five different web servers, how to optimize them to serve Solr even faster. An important and major topic covered in this book is Solr's querying mechanism, which will prove to be a strong ally in our journey through this book. We then look at boosting performance and deploying Solr using several servlet servers. Finally, we cover how to communicate with Solr using different programming languages, before deploying it in a cloud-based environment. Who this book is for: Mastering Apache Solr has been written for developers, programmers, and data specialists who want to take a leap towards the future of full-text storage and search and offer a world-class experience to their users. The reader is expected to have a working knowledge of traditional databases, Linux-based operating systems, and XML configuration files. Style and Approach: Mastering Apache Solr is written lucidly and has a dynamically simple approach. From the first page to the last, the book remains practical and focuses on the most important topics used in the world of Apache Solr without neglecting important theoretical fundamentals that help you build a strong foundation. Conclusion: Mastering Apache Solr will empower you to provide a world-class search experience to your end users through the discovery of the powerful mechanisms presented in this book.

Cloud Computing Systems And Applications In Healthcare

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Author : Bhatt, Chintan M.
language : en
Publisher: IGI Global
Release Date : 2016-08-30

Cloud Computing Systems And Applications In Healthcare written by Bhatt, Chintan M. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-30 with Computers categories.

The implementation of cloud technologies in healthcare is paving the way to more effective patient care and management for medical professionals around the world. As more facilities start to integrate cloud computing into their healthcare systems, it is imperative to examine the emergent trends and innovations in the field. Cloud Computing Systems and Applications in Healthcare features innovative research on the impact that cloud technology has on patient care, disease management, and the efficiency of various medical systems. Highlighting the challenges and difficulties in implementing cloud technology into the healthcare field, this publication is a critical reference source for academicians, technology designers, engineers, professionals, analysts, and graduate students.

Ravendb In Action

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Author : Itamar Syn-Hershko
language : en
Publisher: Manning Publications
Release Date : 2016-01-28

Ravendb In Action written by Itamar Syn-Hershko and has been published by Manning Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-28 with categories.

The data encounter in the real world is usually easier to think of as objects or documents than as the tables and rows required by a standard RDBMS. RavenDB, a modern document-oriented database written in .NET, requires no schema to be declared and enables developers to work with data more naturally. RavenDB applications are high-performance, low-latency, and easy to scale and maintain. RavenDB in Action introduces RavenDB and the document database model. After explaining the basics and offering a quick-and-dirty sample application, this end-to-end guide dives into core RavenDB techniques. It has thoroughly-documented examples on extending RavenDB, deployment stories, and tips to ensure production readiness, along with coverage of advanced topics like full-text search. After reading this book, readers should be comfortable building efficient database-backed applications using RavenDB. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.

Microsoft Azure Essentials Fundamentals Of Azure

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Author : Michael Collier
language : en
Publisher: Microsoft Press
Release Date : 2015-01-29

Microsoft Azure Essentials Fundamentals Of Azure written by Michael Collier and has been published by Microsoft Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-29 with Computers categories.

Microsoft Azure Essentials from Microsoft Press is a series of free ebooks designed to help you advance your technical skills with Microsoft Azure. The first ebook in the series, Microsoft Azure Essentials: Fundamentals of Azure, introduces developers and IT professionals to the wide range of capabilities in Azure. The authors - both Microsoft MVPs in Azure - present both conceptual and how-to content for key areas, including: Azure Websites and Azure Cloud Services Azure Virtual Machines Azure Storage Azure Virtual Networks Databases Azure Active Directory Management tools Business scenarios Watch Microsoft Press’s blog and Twitter (@MicrosoftPress) to learn about other free ebooks in the “Microsoft Azure Essentials” series.

Exist

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Author : Erik Siegel
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2014-12-11

Exist written by Erik Siegel and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-11 with Computers categories.

Get a head start with eXist, the open source NoSQL database and application development platform built entirely around XML technologies. With this hands-on guide, you’ll learn eXist from the ground up, from using this feature-rich database to work with millions of documents to building complex web applications that take advantage of eXist’s many extensions. If you’re familiar with XML—as a student, professor, publisher, or developer—you’ll find that eXist is ideal for all kinds of documents. This book shows you how to store, query, and search documents with XQuery and other XML technologies, and how to construct applications on top of the database with tools such as eXide and eXist’s built-in development environment. Manage both data-oriented and text-oriented markup documents securely Build a sample application that analyzes and searches Shakespeare’s plays Go inside the architecture and learn how eXist processes documents Learn how to work with eXist’s internal development environment Choose among various indexes, including a full-text index based on Apache Lucene Dive into eXist’s APIs for integrating or interacting with the database Extend eXist by building your own Triggers, Scheduled Tasks, and XQuery extension modules