Scaling big data with Hadoop and Solr :: understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr /
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.
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham, UK :
Packt Publishing,
2015.
|
| Ausgabe: | Second edition. |
| Schriftenreihe: | Community experience distilled.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | 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. |
| Beschreibung: | Includes index. |
| Beschreibung: | 1 online resource : illustrations |
| ISBN: | 9781783553402 1783553405 |
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| 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. | |
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| 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. | ||
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| 650 | 0 | |a Search engines. |0 http://id.loc.gov/authorities/subjects/sh00001050 | |
| 650 | 0 | |a Information storage and retrieval systems. |0 http://id.loc.gov/authorities/subjects/sh85066163 | |
| 650 | 0 | |a Open source software. |0 http://id.loc.gov/authorities/subjects/sh99003437 | |
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| contents | 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 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 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 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 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 |
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| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| edition | Second edition. |
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| id | ZDB-4-EBA-ocn910639594 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:26:38Z |
| institution | BVB |
| isbn | 9781783553402 1783553405 |
| language | English |
| oclc_num | 910639594 |
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| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource : illustrations |
| psigel | ZDB-4-EBA |
| publishDate | 2015 |
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| publisher | Packt Publishing, |
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| series | Community experience distilled. |
| series2 | Community experience distilled |
| spelling | Karambelkar, Hrishikesh Vijay, author. Scaling big data with Hadoop and Solr : understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr / Hrishikesh Vijay Karambelkar. Understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr Second edition. Birmingham, UK : Packt Publishing, 2015. ©2015 1 online resource : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Community experience distilled Online resource; title from PDF title page (EBSCO, viewed July 7, 2017). Includes index. 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 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 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 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 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 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. English. Apache Hadoop. http://id.loc.gov/authorities/names/n2013024279 Apache Hadoop fast Big data. http://id.loc.gov/authorities/subjects/sh2012003227 Search engines. http://id.loc.gov/authorities/subjects/sh00001050 Information storage and retrieval systems. http://id.loc.gov/authorities/subjects/sh85066163 Open source software. http://id.loc.gov/authorities/subjects/sh99003437 Données volumineuses. Moteurs de recherche. Systèmes d'information. Logiciels libres. search engines. aat information retrieval services. aat information storage. aat COMPUTERS General. bisacsh Big data fast Information storage and retrieval systems fast Open source software fast Search engines fast Print version: Karambelkar, Hrishikesh Vijay. Scaling big data with Hadoop and Solr : understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr. Second edition. Birmingham, England : Packt Publishing, ©2015 viii, 144 pages Community experience distilled. 9781783553396 Community experience distilled. http://id.loc.gov/authorities/names/no2011030603 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=986057 Volltext |
| spellingShingle | Karambelkar, Hrishikesh Vijay Scaling big data with Hadoop and Solr : understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr / Community experience distilled. 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 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 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 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 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 Apache Hadoop. http://id.loc.gov/authorities/names/n2013024279 Apache Hadoop fast Big data. http://id.loc.gov/authorities/subjects/sh2012003227 Search engines. http://id.loc.gov/authorities/subjects/sh00001050 Information storage and retrieval systems. http://id.loc.gov/authorities/subjects/sh85066163 Open source software. http://id.loc.gov/authorities/subjects/sh99003437 Données volumineuses. Moteurs de recherche. Systèmes d'information. Logiciels libres. search engines. aat information retrieval services. aat information storage. aat COMPUTERS General. bisacsh Big data fast Information storage and retrieval systems fast Open source software fast Search engines fast |
| subject_GND | http://id.loc.gov/authorities/names/n2013024279 http://id.loc.gov/authorities/subjects/sh2012003227 http://id.loc.gov/authorities/subjects/sh00001050 http://id.loc.gov/authorities/subjects/sh85066163 http://id.loc.gov/authorities/subjects/sh99003437 |
| title | Scaling big data with Hadoop and Solr : understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr / |
| title_alt | Understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr |
| title_auth | Scaling big data with Hadoop and Solr : understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr / |
| title_exact_search | Scaling big data with Hadoop and Solr : understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr / |
| title_full | Scaling big data with Hadoop and Solr : understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr / Hrishikesh Vijay Karambelkar. |
| title_fullStr | Scaling big data with Hadoop and Solr : understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr / Hrishikesh Vijay Karambelkar. |
| title_full_unstemmed | Scaling big data with Hadoop and Solr : understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr / Hrishikesh Vijay Karambelkar. |
| title_short | Scaling big data with Hadoop and Solr : |
| title_sort | scaling big data with hadoop and solr understand design build and optimize your big data search engine with hadoop and apache solr |
| title_sub | understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr / |
| topic | Apache Hadoop. http://id.loc.gov/authorities/names/n2013024279 Apache Hadoop fast Big data. http://id.loc.gov/authorities/subjects/sh2012003227 Search engines. http://id.loc.gov/authorities/subjects/sh00001050 Information storage and retrieval systems. http://id.loc.gov/authorities/subjects/sh85066163 Open source software. http://id.loc.gov/authorities/subjects/sh99003437 Données volumineuses. Moteurs de recherche. Systèmes d'information. Logiciels libres. search engines. aat information retrieval services. aat information storage. aat COMPUTERS General. bisacsh Big data fast Information storage and retrieval systems fast Open source software fast Search engines fast |
| topic_facet | Apache Hadoop. 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. Big data Information storage and retrieval systems Open source software Search engines |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=986057 |
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