
Lokální instruktorem vedené Search školení České republice.
Reference
Aidan Thomas
Kurz: Implementation and Administration of Elasticsearch
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Christopher Sigouin
Kurz: Solr for Developers
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Ratnakara Pesaladinne
Kurz: Apache Solr - Full-Text Search Server
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Dhruv Prajapati
Kurz: Apache Solr - Full-Text Search Server
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Onoriode Ikede
Kurz: Solr for Developers
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United States Patent & Trademark Office / USPTO
Kurz: Solr for Developers
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Keith Thoms - Shared Services Canada
Kurz: Apache Solr - Full-Text Search Server
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Andreas Kukacka
Kurz: ELK: Elasticsearch, Logstash and Kibana for Administrators
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Kurz: ELK: Elasticsearch, Logstash and Kibana for Administrators
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Kurz: ELK: Elasticsearch, Logstash and Kibana for Administrators
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A1 Telekom Austria AG
Kurz: ELK: Elasticsearch, Logstash and Kibana for Administrators
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A1 Telekom Austria AG
Kurz: ELK: Elasticsearch, Logstash and Kibana for Administrators
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Martin Gobschiba - A1 Telekom Austria AG
Kurz: ELK: Elasticsearch, Logstash and Kibana for Administrators
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Jeán Thysse - Quidco
Kurz: Elasticsearch for Developers
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Conor Glasman - Quidco
Kurz: Elasticsearch for Developers
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Warren Stephen - Quidco
Kurz: Elasticsearch for Developers
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Quidco
Kurz: Elasticsearch for Developers
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Qiniso Mdletshe - Quidco
Kurz: Elasticsearch for Developers
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Quidco
Kurz: Elasticsearch for Developers
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Mattias Hansson - Chalmers Tekniska Högskola AB
Kurz: Elasticsearch for Developers
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Otevřenost školitele otázkám a ochota pomoci / odpovědět / vysvětlit.
Chalmers Tekniska Högskola AB
Kurz: Elasticsearch for Developers
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Chalmers Tekniska Högskola AB
Kurz: Elasticsearch for Developers
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SAP
Kurz: Solr for Developers
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Wojciech Drzewiecki - SAP
Kurz: Solr for Developers
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Wojciech Walczyszyn - SAP
Kurz: Solr for Developers
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SAP
Kurz: Solr for Developers
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Solvinity B.V.
Kurz: SolrCloud
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Pascal FONTAN - LA POSTE
Kurz: ELK: Elasticsearch, Logstash and Kibana for Administrators
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Michael Sperber - WUR/ Computrain
Kurz: Solr for Developers
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Kenneth Wong - Hospital Authority
Kurz: Implementation and Administration of Elasticsearch
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Kurz: ELK: Elasticsearch, Logstash and Kibana for Administrators
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Kurz: ELK: Elasticsearch, Logstash and Kibana for Administrators
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Search Podkategorie
Search Návrh Školení
Tento instruktorem vedený živý výcvik (na místě nebo na dálku) je určen vývojářům, kteří chtějí vědět, jak používat Solr pro pokročilý vývoj.
Na konci tohoto školení budou účastníci schopni:
- Vyladění a škálování Solr a SolrCloud
- Zacházejte s velkým množstvím sbírek
- Data trasy dotazu
- Spravujte migraci dat
Formát kurzu
- Interaktivní přednáška a diskuse.
- Spousta cvičení a cvičení.
- Praktická implementace v prostředí živé laboratoře.
Možnosti přizpůsobení kurzu
- Chcete-li požádat o přizpůsobené školení pro tento kurz, kontaktujte nás a domluvte se.
In this instructor-led, live training, participants will learn how to set up and use Carrot2 to automatically organize Search results into thematic categories.
By the end of this training, participants will be able to:
- Install and configure Carrot2
- Post-process (cluster, tune, etc.) data generated by third-part search tools such as Bing, ElasticSearch and Solr (Lucene)
- Integrate Carrot2 into Java and non-Java applications
- Expose Carrot2 clustering as a remote service
Audience
- Developers
- System Administrators
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Administrators or developers who want to know how to use Elasticsearch.
Administrators or developers who want to know how to use Elasticsearch.
Administrators or developers who want to know how to use Elasticsearch.
This instructor-led, live training is aimed at software developers who wish to build search and analytics solutions using Elasticsearch.
The training starts with a discussion of the Elasticsearch architecture, including its distributed model and search API. This is followed by an explanation of Elasticsearch's functionality and how to best integrate it into an existing application.
Hands-on exercises make up an important part of the training, and give participants a chance to put into practice their knowledge while receiving feedback on their implementation and progress.
Format of the Course
- Heavy emphasis on live practice. Most of the concepts are learned through samples, exercises and hands-on development.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
The training starts with a discussion of ELK architecture and functionality, then moves on to live lab implementation and practice. Hands-on exercises make up an important part of the training and give participants a chance to put into practice their knowledge while receiving feedback on their progress.
Format of the course
- Heavy emphasis on live practice
- Most of the concepts are learned through exercises and hands-on implementation and deployment
Kibana is an open source analytics and visualization platform designed to work with Elasticsearch. You use Kibana to search, view, and interact with data stored in Elasticsearch indices. You can easily perform advanced data analysis and visualize your data in a variety of charts, tables, and maps.
Kibana makes it easy to understand large volumes of data. Its simple, browser-based interface enables you to quickly create and share dynamic dashboards that display changes to Elasticsearch queries in real time.
Tento instruktor vedený, živý trénink (na pracovišti nebo vzdáleně) je zaměřen na webové vývojáře, kteří chtějí použít regulární výrazy k vytvoření robustních algoritmů pro definování vyhledávacích vzorců.
Na konci tohoto školení budou účastníci moci:
- Metody regulárních výrazů se aplikují na libovolný stroj Regex jako PHP, Pythonatd.
- Pište složité vzory vyhledávání pomocí znakových sad.
- Automatizaci skriptů do systémového procesu pomocí rozšířených regulárních výrazů.
Formát kurzu
- Interaktivní přednáška a diskuse.
- Hodně cvičení a cviku.
- Praktická implementace v prostředí živé laboratoře.
Možnosti přizpůsobení kurzu
- Chcete-li požádat o vlastní školení pro tento kurz, kontaktujte nás prosím.
In this instructor-led, live training, participants will learn how to set up a SolrCloud instance on Amazon AWS.
By the end of this training, participants will be able to:
- Understand SolCloud's features and how they compare to those of conventional master-slave clusters
- Configure a SolCloud centralized cluster
- Automate processes such as communicating with shards, adding documents to the shards, etc.
- Use Zookeeper in conjunction with SolrCloud to further automate processes
- Use the interface to manage error reporting
- Load balance a SolrCloud installation
- Configure SolrCloud for continuous processing and fail-over
Audience
- Solr Developers
- Project Managers
- System Administrators
- Search Analysts
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
The class begins with basic Solr installation and configuration then teaches the attendees the search features of Solr. Students will gain experience with faceting, indexing and search relevance among other features central to the Solr platform. The course wraps up with a number of advanced topics including spell checking, suggestions, Multicore and SolrCloud.
Duration: 3 days
Audience: Developers, business users, administrators
In this instructor-led, live training, participants will learn install, configure, and manage Sphinx.
By the end of this training, participants will be able to:
- Configure Sphinx as a stand-alone server or storage engine (SphinxSE) using MySQL.
- Set up Sphinx to connect to either a database or an application.
- Use Sphinx's "fixed schema" as well as JSON attributes to map and filter search data
Audience
- System administrators
- DevOps
- Developers
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice