Apache Solr for Indexing Data Book

Apache Solr for Indexing Data


  • Author : Sachin Handiekar
  • Publisher : Packt Publishing Ltd
  • Release Date : 2015-12-28
  • Genre: Computers
  • Pages : 160
  • ISBN 10 : 9781783553242

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Apache Solr for Indexing Data Excerpt :

Enhance your Solr indexing experience with advanced techniques and the built-in functionalities available in Apache Solr About This Book Learn about distributed indexing and real-time optimization to change index data on fly Index data from various sources and web crawlers using built-in analyzers and tokenizers This step-by-step guide is packed with real-life examples on indexing data Who This Book Is For This book is for developers who want to increase their experience of indexing in Solr by learning about the various index handlers, analyzers, and methods available in Solr. Beginner level Solr development skills are expected. What You Will Learn Get to know the basic features of Solr indexing and the analyzers/tokenizers available Index XML/JSON data in Solr using the HTTP Post tool and CURL command Work with Data Import Handler to index data from a database Use Apache Tika with Solr to index word documents, PDFs, and much more Utilize Apache Nutch and Solr integration to index crawled data from web pages Update indexes in real-time data feeds Discover techniques to index multi-language and distributed data in Solr Combine the various indexing techniques into a real-life working example of an online shopping web application In Detail Apache Solr is a widely used, open source enterprise search server that delivers powerful indexing and searching features. These features help fetch relevant information from various sources and documentation. Solr also combines with other open source tools such as Apache Tika and Apache Nutch to provide more powerful features. This fast-paced guide starts by helping you set up Solr and get acquainted with its basic building blocks, to give you a better understanding of Solr indexing. You'll quickly move on to indexing text and boosting the indexing time. Next, you'll focus on basic indexing techniques, various index handlers designed to modify documents, and indexing a structured data source through Data Import Handler. Moving on, y

Instant Apache Solr for Indexing Data How to Book

Instant Apache Solr for Indexing Data How to


  • Author : Alexandre Rafalovitch
  • Publisher : Unknown
  • Release Date : 2013
  • Genre: Client/server computing
  • Pages : 78
  • ISBN 10 : 1782164847

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Instant Apache Solr for Indexing Data How to Excerpt :

Filled with practical, step-by-step instructions and clear explanations for the most important and useful tasks. This book is written in a friendly, practical manner with recipes covering important indexing techniques and methods using Apache Solr.This book is for developers who want to dive deeper into Solr. Regardless of whether you are just starting with Solr or have already built your first collection by copying and modifying examples, this book will take you through the complicated steps of indexing your data with Solr.

Solr in Action Book

Solr in Action


  • Author : Timothy Potter
  • Publisher : Simon and Schuster
  • Release Date : 2014-03-25
  • Genre: Computers
  • Pages : 664
  • ISBN 10 : 9781638351238

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Solr in Action Excerpt :

Summary Solr in Action is a comprehensive guide to implementing scalable search using Apache Solr. This clearly written book walks you through well-documented examples ranging from basic keyword searching to scaling a system for billions of documents and queries. It will give you a deep understanding of how to implement core Solr capabilities. About the Book Whether you're handling big (or small) data, managing documents, or building a website, it is important to be able to quickly search through your content and discover meaning in it. Apache Solr is your tool: a ready-to-deploy, Lucene-based, open source, full-text search engine. Solr can scale across many servers to enable real-time queries and data analytics across billions of documents. Solr in Action teaches you to implement scalable search using Apache Solr. This easy-to-read guide balances conceptual discussions with practical examples to show you how to implement all of Solr's core capabilities. You'll master topics like text analysis, faceted search, hit highlighting, result grouping, query suggestions, multilingual search, advanced geospatial and data operations, and relevancy tuning. This book assumes basic knowledge of Java and standard database technology. No prior knowledge of Solr or Lucene is required. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. What's Inside How to scale Solr for big data Rich real-world examples Solr as a NoSQL data store Advanced multilingual, data, and relevancy tricks Coverage of versions through Solr 4.7 About the Authors Trey Grainger is a director of engineering at CareerBuilder. Timothy Potter is a senior member of the engineering team at LucidWorks. The authors work on the scalability and reliability of Solr, as well as on recommendation engine and big data analytics technologies. Table of Contents PART 1 MEET SOLR Introduction to Solr Getting to know Solr Key Solr concepts Configuring Solr Indexing Text anal

Apache Solr Search Patterns Book

Apache Solr Search Patterns


  • Author : Jayant Kumar
  • Publisher : Packt Publishing Ltd
  • Release Date : 2015-04-24
  • Genre: Computers
  • Pages : 316
  • ISBN 10 : 9781783981854

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Apache Solr Search Patterns Excerpt :

This book is for developers who already know how to use Solr and are looking at procuring advanced strategies for improving their search using Solr. This book is also for people who work with analytics to generate graphs and reports using Solr. Moreover, if you are a search architect who is looking forward to scale your search using Solr, this is a must have book for you. It would be helpful if you are familiar with the Java programming language.

Apache Solr Book
Score: 5
From 1 Ratings

Apache Solr


  • Author : Dikshant Shahi
  • Publisher : Apress
  • Release Date : 2015-12-26
  • Genre: Computers
  • Pages : 299
  • ISBN 10 : 9781484210703

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Apache Solr Excerpt :

Build an enterprise search engine using Apache Solr: index and search documents; ingest data from varied sources; apply various text processing techniques; utilize different search capabilities; and customize Solr to retrieve the desired results. Apache Solr: A Practical Approach to Enterprise Search explains each essential concept-backed by practical and industry examples--to help you attain expert-level knowledge. The book, which assumes a basic knowledge of Java, starts with an introduction to Solr, followed by steps to setting it up, indexing your first set of documents, and searching them. It then introduces you to information retrieval and its implementation in Apache Solr; this will help you understand your search problem, decide the approach to build an effective solution, and use various metrics to evaluate the results. The book next covers the schema design and techniques to build a text analysis chain for cleansing, normalizing and enriching your documents and addressing different types of search queries. It describes various popular matching techniques which are generally applied to improve the precision and recall of searches. You will learn the end-to-end process of data ingestion from varied sources, metadata extraction, pre-processing and transformation of content, various search components, query parsers and other advanced search capabilities. After covering out-of-the-box features, Solr expert Dikshant Shahi dives into ways you can customize Solr for your business and its specific requirements, along with ways to plug in your own components. Most important, you will learn about implementations for Solr scoring, factors affecting the document score, and tuning the score for the application at hand. The book explains why textual scoring is not sufficient for practical ranking of documents and ways to integrate real-world factors for contributing to the document ranking. You'll see how to influence user experience by providing suggestions and recommen

Apache Solr for Indexing Data Book

Apache Solr for Indexing Data


  • Author : Alfredo Serafini
  • Publisher : Createspace Independent Publishing Platform
  • Release Date : 2017-07-12
  • Genre: Uncategoriezed
  • Pages : 134
  • ISBN 10 : 1548785822

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Apache Solr for Indexing Data Excerpt :

Search is everywhere, yet it is one of the most misunderstood functionalities of the IT industry. In Apache Solr, author Xavier Morera guides you through the basics of this highly popular enterprise search tool. You'll learn how to set up an index and how to make it searchable, then query it with a simple enterprise search. Explanations for precision and recall are also included to help you ensure that relevant, accurate results have been returned. Custom UIs using Solritas and SolrNet are also covered. This updated and expanded second edition of Book provides a user-friendly introduction to the subject, Taking a clear structural framework, it guides the reader through the subject's core elements. A flowing writing style combines with the use of illustrations and diagrams throughout the text to ensure the reader understands even the most complex of concepts. This succinct and enlightening overview is a required reading for all those interested in the subject . We hope you find this book useful in shaping your future career & Business.

Spring Data Book
Score: 3
From 1 Ratings

Spring Data


  • Author : Mark Pollack
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2012-10-24
  • Genre: Computers
  • Pages : 288
  • ISBN 10 : 9781449323950

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Spring Data Excerpt :

You can choose several data access frameworks when building Java enterprise applications that work with relational databases. But what about big data? This hands-on introduction shows you how Spring Data makes it relatively easy to build applications across a wide range of new data access technologies such as NoSQL and Hadoop. Through several sample projects, you’ll learn how Spring Data provides a consistent programming model that retains NoSQL-specific features and capabilities, and helps you develop Hadoop applications across a wide range of use-cases such as data analysis, event stream processing, and workflow. You’ll also discover the features Spring Data adds to Spring’s existing JPA and JDBC support for writing RDBMS-based data access layers. Learn about Spring’s template helper classes to simplify the use of database-specific functionality Explore Spring Data’s repository abstraction and advanced query functionality Use Spring Data with Redis (key/value store), HBase (column-family), MongoDB (document database), and Neo4j (graph database) Discover the GemFire distributed data grid solution Export Spring Data JPA-managed entities to the Web as RESTful web services Simplify the development of HBase applications, using a lightweight object-mapping framework Build example big-data pipelines with Spring Batch and Spring Integration

Scaling Apache Solr Book

Scaling Apache Solr


  • Author : Hrishikesh Vijay Karambelkar
  • Publisher : Packt Publishing Ltd
  • Release Date : 2014-07-25
  • Genre: Computers
  • Pages : 298
  • ISBN 10 : 9781783981755

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Scaling Apache Solr Excerpt :

This book is a step-by-step guide for readers who would like to learn how to build complete enterprise search solutions, with ample real-world examples and case studies. If you are a developer, designer, or architect who would like to build enterprise search solutions for your customers or organization, but have no prior knowledge of Apache Solr/Lucene technologies, this is the book for you.

Mastering Apache Solr 7 x Book

Mastering Apache Solr 7 x


  • Author : Sandeep Nair
  • Publisher : Packt Publishing Ltd
  • Release Date : 2018-02-22
  • Genre: Computers
  • Pages : 308
  • ISBN 10 : 9781788831550

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Mastering Apache Solr 7 x Excerpt :

Accelerate your enterprise search engine and bring relevancy in your search analytics Key Features A practical guide in building expertise with Indexing, Faceting, Clustering and Pagination Master the management and administration of Enterprise Search Applications and services seamlessly Handle multiple data inputs such as JSON, xml, pdf, doc, xls,ppt, csv and much more. Book Description Apache Solr is the only standalone enterprise search server with a REST-like application interface. providing highly scalable, distributed search and index replication for many of the world's largest internet sites. To begin with, you would be introduced to how you perform full text search, multiple filter search, perform dynamic clustering and so on helping you to brush up the basics of Apache Solr. You will also explore the new features and advanced options released in Apache Solr 7.x which will get you numerous performance aspects and making data investigation simpler, easier and powerful. You will learn to build complex queries, extensive filters and how are they compiled in your system to bring relevance in your search tools. You will learn to carry out Solr scoring, elements affecting the document score and how you can optimize or tune the score for the application at hand. You will learn to extract features of documents, writing complex queries in re-ranking the documents. You will also learn advanced options helping you to know what content is indexed and how the extracted content is indexed. Throughout the book, you would go through complex problems with solutions along with varied approaches to tackle your business needs. By the end of this book, you will gain advanced proficiency to build out-of-box smart search solutions for your enterprise demands. What you will learn Design schema using schema API to access data in the database Advance querying and fine-tuning techniques for better performance Get to grips with indexing using Client API Set up a fault tolerant and high

Apache Solr 4 Cookbook Book
Score: 5
From 1 Ratings

Apache Solr 4 Cookbook


  • Author : Rafał Kuć
  • Publisher : Packt Publishing Ltd
  • Release Date : 2013-01-01
  • Genre: Computers
  • Pages : 328
  • ISBN 10 : 9781782161332

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Apache Solr 4 Cookbook Excerpt :

Over 100 practical recipes to make Apache Solr faster, more reliable and return better results.

Spring Data Standard Guide Book

Spring Data Standard Guide


  • Author : Petri Kainulainen
  • Publisher : Packt Publishing Ltd
  • Release Date : 2012-11-05
  • Genre: Computers
  • Pages : 160
  • ISBN 10 : 9781849519052

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Spring Data Standard Guide Excerpt :

Implement JPA repositories and harness the performance of Redis in your applications.

High Performance Drupal Book

High Performance Drupal


  • Author : Jeff Sheltren
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2013-10-14
  • Genre: Computers
  • Pages : 264
  • ISBN 10 : 9781449358037

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High Performance Drupal Excerpt :

How can you help your Drupal website continue to perform at the highest level as it grows to meet demand? This comprehensive guide provides best practices, examples, and in-depth explanations for solving several performance and scalability issues. You’ll learn how to apply coding and infrastructure techniques to Drupal internals, application performance, databases, web servers, and performance analysis. Covering Drupal versions 7 and 8, this book is the ideal reference for everything from site deployment to implementing specific technologies such as Varnish, memcache, or Solr. If you have a basic understanding of Drupal and the Linux-Apache-MySQL-PHP (LAMP) stack, you’re ready to get started. Establish a performance baseline and define goals for improvement Optimize your website’s code and front-end performance Get best and worst practices for customizing Drupal core functionality Apply infrastructure design techniques to launch or expand a site Use tools to configure, monitor, and optimize MySQL performance Employ alternative storage and backend search options as your site grows Tune your web servers through httpd and PHP configuration Monitor services and perform load tests to catch problems before they become critical

Big Data Concepts  Theories  and Applications Book

Big Data Concepts Theories and Applications


  • Author : Shui Yu
  • Publisher : Springer
  • Release Date : 2016-03-03
  • Genre: Computers
  • Pages : 437
  • ISBN 10 : 9783319277639

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Big Data Concepts Theories and Applications Excerpt :

This book covers three major parts of Big Data: concepts, theories and applications. Written by world-renowned leaders in Big Data, this book explores the problems, possible solutions and directions for Big Data in research and practice. It also focuses on high level concepts such as definitions of Big Data from different angles; surveys in research and applications; and existing tools, mechanisms, and systems in practice. Each chapter is independent from the other chapters, allowing users to read any chapter directly. After examining the practical side of Big Data, this book presents theoretical perspectives. The theoretical research ranges from Big Data representation, modeling and topology to distribution and dimension reducing. Chapters also investigate the many disciplines that involve Big Data, such as statistics, data mining, machine learning, networking, algorithms, security and differential geometry. The last section of this book introduces Big Data applications from different communities, such as business, engineering and science. Big Data Concepts, Theories and Applications is designed as a reference for researchers and advanced level students in computer science, electrical engineering and mathematics. Practitioners who focus on information systems, big data, data mining, business analysis and other related fields will also find this material valuable.

Apache Solr Enterprise Search Server   Third Edition Book

Apache Solr Enterprise Search Server Third Edition


  • Author : David Smiley
  • Publisher : Packt Publishing Ltd
  • Release Date : 2015-05-26
  • Genre: Computers
  • Pages : 432
  • ISBN 10 : 9781782161370

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Apache Solr Enterprise Search Server Third Edition Excerpt :

This book is for developers who want to learn how to get the most out of Solr in their applications, whether you are new to the field, have used Solr but don't know everything, or simply want a good reference. It would be helpful to have some familiarity with basic programming concepts, but no prior experience is required.

Scaling Big Data with Hadoop and Solr   Second Edition Book

Scaling Big Data with Hadoop and Solr Second Edition


  • Author : Hrishikesh Vijay Karambelkar
  • Publisher : Packt Publishing Ltd
  • Release Date : 2015-04-27
  • Genre: Computers
  • Pages : 166
  • ISBN 10 : 9781783553402

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Scaling Big Data with Hadoop and Solr Second Edition Excerpt :

This book is aimed at developers, designers, and architects who would like to build big data enterprise search solutions for their customers or organizations. No prior knowledge of Apache Hadoop and Apache Solr/Lucene technologies is required.