Scaling big data with Hadoop and Solr : understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr /

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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.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Karambelkar, Hrishikesh Vijay (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham, UK : Packt Publishing, 2015.
Edición:Second edition.
Colección:Community experience distilled.
Temas:
Apache Hadoop.
Big data.
Search engines.
Information storage and retrieval systems.
Open source software.
Données volumineuses.
Moteurs de recherche.
Systèmes d'information.
Logiciels libres.
search engines.
information retrieval services.
information storage.
COMPUTERS > General.
Acceso en línea:Texto completo

MARC

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100 1 |a Karambelkar, Hrishikesh Vijay,  |e author. 
245 1 0 |a Scaling big data with Hadoop and Solr :  |b understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr /  |c Hrishikesh Vijay Karambelkar. 
246 3 |a Understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr 
250 |a Second edition. 
264 1 |a Birmingham, UK :  |b Packt Publishing,  |c 2015. 
264 4 |c ©2015 
300 |a 1 online resource :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Community experience distilled 
588 0 |a Online resource; title from PDF title page (EBSCO, viewed July 7, 2017). 
500 |a Includes index. 
505 0 |a Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Processing Big Data Using Hadoop and MapReduce; Apache Hadoop's ecosystem; Core components; Understanding Hadoop's ecosystem; Configuring Apache Hadoop; Prerequisites; Setting up ssh without passphrase; Configuring Hadoop; Running Hadoop; Setting up a Hadoop cluster; Common problems and their solutions; Summary; Chapter 2: Understanding Apache Solr; Setting up Apache Solr; Prerequisites for setting up Apache Solr; Running Apache Solr on jetty 
505 8 |a Running Solr on other J2EE containersHello World with Apache Solr!; Understanding Solr administration; Solr navigation; Common problems and solutions; The Apache Solr architecture; Configuring Solr; Understanding the Solr structure; Defining the Solr schema; Solr fields; Dynamic fields in Solr; Copying the fields; Dealing with field types; Additional metadata configuration; Other important elements of the Solr schema; Configuration files of Apache Solr; Working with solr.xml and Solr core; Instance configuration with solrconfig.xml; Understanding the Solr plugin; Other configuration 
505 8 |a Loading data in Apache SolrExtracting request handler -- Solr Cell; Understanding data import handlers; Interacting with Solr through SolrJ; Working with rich documents (Apache Tika); Querying for information in Solr; Summary; Chapter 3: Enabling Distributed Search using Apache Solr; Understanding a distributed search; Distributed search patterns; Apache Solr and distributed search; Working with SolrCloud; Why ZooKeeper?; The SolrCloud architecture; Building an enterprise distributed search using SolrCloud; Setting up SolrCloud for development; Setting up SolrCloud for production 
505 8 |a Adding a document to SolrCloudCreating shards, collections, and replicas in SolrCloud; Common problems and resolutions; Sharding algorithm and fault tolerance; Document Routing and Sharding; Shard splitting; Load balancing and fault tolerance in SolrCloud; Apache Solr and Big Data -- integration with MongoDB; What is NoSQL and how is it related to Big Data?; MongoDB at glance; Installing MongoDB; Creating Solr indexes from MongoDB; Summary; Chapter 4: Big Data Search Using Hadoop and Its Ecosystem; Understanding NoSQL; Working with the Solr HDFS connector; Big data search using Katta 
505 8 |a How Katta works?Setting up the Katta cluster; Creating Katta indexes; Using Solr 1045 Patch -- map-side indexing; Using Solr 1301 Patch -- reduce-side indexing; Distributed search using Apache Blur; Setting up Apache Blur with Hadoop; Apache Solr and Cassandra; Working with Cassandra and Solr; Single node configuration; Integrating with multinode Cassandra; Scaling Solr through Storm; Getting along with Apache Storm; Advanced analytics with Solr; Integrating Solr and R; Summary; Chapter 5: Scaling Search Performance; Understanding the limits; Optimizing search schema 
520 |a 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. 
546 |a English. 
590 |a eBooks on EBSCOhost  |b EBSCO eBook Subscription Academic Collection - Worldwide 
630 0 0 |a Apache Hadoop. 
630 0 7 |a Apache Hadoop.  |2 fast  |0 (OCoLC)fst01911570 
650 0 |a Big data. 
650 0 |a Search engines. 
650 0 |a Information storage and retrieval systems. 
650 0 |a Open source software. 
650 6 |a Données volumineuses. 
650 6 |a Moteurs de recherche. 
650 6 |a Systèmes d'information. 
650 6 |a Logiciels libres. 
650 7 |a search engines.  |2 aat 
650 7 |a information retrieval services.  |2 aat 
650 7 |a information storage.  |2 aat 
650 7 |a COMPUTERS  |x General.  |2 bisacsh 
650 7 |a Big data.  |2 fast  |0 (OCoLC)fst01892965 
650 7 |a Information storage and retrieval systems.  |2 fast  |0 (OCoLC)fst00972781 
650 7 |a Open source software.  |2 fast  |0 (OCoLC)fst01046097 
650 7 |a Search engines.  |2 fast  |0 (OCoLC)fst01110372 
776 0 8 |i Print version:  |a Karambelkar, Hrishikesh Vijay.  |t Scaling big data with Hadoop and Solr : understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr.  |b Second edition.  |d Birmingham, England : Packt Publishing, ©2015  |h viii, 144 pages  |k Community experience distilled.  |z 9781783553396 
830 0 |a Community experience distilled. 
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