際際滷shows by User: arafalov / http://www.slideshare.net/images/logo.gif 際際滷shows by User: arafalov / Wed, 17 Oct 2018 20:24:19 GMT 際際滷Share feed for 際際滷shows by User: arafalov JSON in Solr: from top to bottom /arafalov/json-in-solr-from-top-to-bottom activate18-rafalovitch-json-181017202420
Indexing, searching, and configuration of Solr with JSON. Presented at Activate Conference, October 2018. Based on Solr 7.5]]>
Indexing, searching, and configuration of Solr with JSON. Presented at Activate Conference, October 2018. Based on Solr 7.5]]> Wed, 17 Oct 2018 20:24:19 GMT /arafalov/json-in-solr-from-top-to-bottom arafalov@slideshare.net(arafalov) JSON in Solr: from top to bottom arafalov Indexing, searching, and configuration of Solr with JSON. Presented at Activate Conference, October 2018. Based on Solr 7.5 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/activate18-rafalovitch-json-181017202420-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Indexing, searching, and configuration of Solr with JSON. Presented at Activate Conference, October 2018. Based on Solr 7.5
JSON in Solr: from top to bottom from Alexandre Rafalovitch
]]> 2089 2 https://cdn.slidesharecdn.com/ss_thumbnails/activate18-rafalovitch-json-181017202420-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 From content to search: speed-dating Apache Solr (ApacheCON 2018) /slideshow/from-content-to-search-speeddating-apache-solr-apachecon-2018-116330553/116330553 presentationapachecon20181-180924183756
While fully nuanced search implementation takes time, getting basic data ingestion, schema design and critical-path insights does not have to be a painful experience. This talk uses several real-life datasets (from Data is Plural mailing list) and shows "Rapid Application Development"-style workflow to get the data into Solr and shape it ready for initial searchability and relevancy analysis. Different stages of content ingestion, pre-processing, analysis, and querying are explained, together with trade-offs of different built-in approaches. Relevant document links are also included for more in-depth research. This talk is for everybody who wants Search in their development stack but is not sure exactly where to start.]]>
While fully nuanced search implementation takes time, getting basic data ingestion, schema design and critical-path insights does not have to be a painful experience. This talk uses several real-life datasets (from Data is Plural mailing list) and shows "Rapid Application Development"-style workflow to get the data into Solr and shape it ready for initial searchability and relevancy analysis. Different stages of content ingestion, pre-processing, analysis, and querying are explained, together with trade-offs of different built-in approaches. Relevant document links are also included for more in-depth research. This talk is for everybody who wants Search in their development stack but is not sure exactly where to start.]]> Mon, 24 Sep 2018 18:37:56 GMT /slideshow/from-content-to-search-speeddating-apache-solr-apachecon-2018-116330553/116330553 arafalov@slideshare.net(arafalov) From content to search: speed-dating Apache Solr (ApacheCON 2018) arafalov While fully nuanced search implementation takes time, getting basic data ingestion, schema design and critical-path insights does not have to be a painful experience. This talk uses several real-life datasets (from Data is Plural mailing list) and shows "Rapid Application Development"-style workflow to get the data into Solr and shape it ready for initial searchability and relevancy analysis. Different stages of content ingestion, pre-processing, analysis, and querying are explained, together with trade-offs of different built-in approaches. Relevant document links are also included for more in-depth research. This talk is for everybody who wants Search in their development stack but is not sure exactly where to start. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/presentationapachecon20181-180924183756-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> While fully nuanced search implementation takes time, getting basic data ingestion, schema design and critical-path insights does not have to be a painful experience. This talk uses several real-life datasets (from Data is Plural mailing list) and shows &quot;Rapid Application Development&quot;-style workflow to get the data into Solr and shape it ready for initial searchability and relevancy analysis. Different stages of content ingestion, pre-processing, analysis, and querying are explained, together with trade-offs of different built-in approaches. Relevant document links are also included for more in-depth research. This talk is for everybody who wants Search in their development stack but is not sure exactly where to start.
From content to search: speed-dating Apache Solr (ApacheCON 2018) from Alexandre Rafalovitch
]]> 7370 4 https://cdn.slidesharecdn.com/ss_thumbnails/presentationapachecon20181-180924183756-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Searching for AI - Leveraging Solr for classic Artificial Intelligence tasks /slideshow/searching-for-ai-leveraging-solr-for-classic-artificial-intelligence-tasks/107737664 solr-aitasks-180727174011
Apache Solr was always built on strong Information Retrieval/Natural Language Processing foundation. And, in recent versions, even more Artificial Intelligence features, techniques and integrations were added to the Solr. This presentation covers some classic (and hidden gems) AI elements that Solr supported for long time as well as the most recent features that are not even fully documented yet. The presentation was made with references to Solr 7.4.]]>
Apache Solr was always built on strong Information Retrieval/Natural Language Processing foundation. And, in recent versions, even more Artificial Intelligence features, techniques and integrations were added to the Solr. This presentation covers some classic (and hidden gems) AI elements that Solr supported for long time as well as the most recent features that are not even fully documented yet. The presentation was made with references to Solr 7.4.]]> Fri, 27 Jul 2018 17:40:11 GMT /slideshow/searching-for-ai-leveraging-solr-for-classic-artificial-intelligence-tasks/107737664 arafalov@slideshare.net(arafalov) Searching for AI - Leveraging Solr for classic Artificial Intelligence tasks arafalov Apache Solr was always built on strong Information Retrieval/Natural Language Processing foundation. And, in recent versions, even more Artificial Intelligence features, techniques and integrations were added to the Solr. This presentation covers some classic (and hidden gems) AI elements that Solr supported for long time as well as the most recent features that are not even fully documented yet. The presentation was made with references to Solr 7.4. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/solr-aitasks-180727174011-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Apache Solr was always built on strong Information Retrieval/Natural Language Processing foundation. And, in recent versions, even more Artificial Intelligence features, techniques and integrations were added to the Solr. This presentation covers some classic (and hidden gems) AI elements that Solr supported for long time as well as the most recent features that are not even fully documented yet. The presentation was made with references to Solr 7.4.
Searching for AI - Leveraging Solr for classic Artificial Intelligence tasks from Alexandre Rafalovitch
]]> 1955 7 https://cdn.slidesharecdn.com/ss_thumbnails/solr-aitasks-180727174011-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Rapid Solr Schema Development (Phone directory) /slideshow/rapid-solr-schema-development-phone-directory/96190957 rapidsolrschemadevelopment-180506230429
Apache Solr is a search engine that can scale from a personal project to a multi-terabyte cloud hosted cluster. At the same time, this ability to scale, tune and adjust to the clients' needs, can make it hard to understand the right aspects of Solr to bring to the problem. In this session, Alexandre Rafalovitch (an Apache Solr committer) will do a speed run demonstrating how to create and tune a Solr 7.3 instance for a hypothetical Corporate Phone Directory application. It will cover: *) The smallest learning schema/configuration required *) Rapid schema evolution workflow *) Dealing with multiple languages *) Dealing with misspellings in search *) Searching phone numbers Presented at Solr meetup in Montreal, in May 2018. Backing GitHub repository is: https://github.com/arafalov/solr-presentation-2018-may]]>
Apache Solr is a search engine that can scale from a personal project to a multi-terabyte cloud hosted cluster. At the same time, this ability to scale, tune and adjust to the clients' needs, can make it hard to understand the right aspects of Solr to bring to the problem. In this session, Alexandre Rafalovitch (an Apache Solr committer) will do a speed run demonstrating how to create and tune a Solr 7.3 instance for a hypothetical Corporate Phone Directory application. It will cover: *) The smallest learning schema/configuration required *) Rapid schema evolution workflow *) Dealing with multiple languages *) Dealing with misspellings in search *) Searching phone numbers Presented at Solr meetup in Montreal, in May 2018. Backing GitHub repository is: https://github.com/arafalov/solr-presentation-2018-may]]> Sun, 06 May 2018 23:04:29 GMT /slideshow/rapid-solr-schema-development-phone-directory/96190957 arafalov@slideshare.net(arafalov) Rapid Solr Schema Development (Phone directory) arafalov Apache Solr is a search engine that can scale from a personal project to a multi-terabyte cloud hosted cluster. At the same time, this ability to scale, tune and adjust to the clients' needs, can make it hard to understand the right aspects of Solr to bring to the problem. In this session, Alexandre Rafalovitch (an Apache Solr committer) will do a speed run demonstrating how to create and tune a Solr 7.3 instance for a hypothetical Corporate Phone Directory application. It will cover: *) The smallest learning schema/configuration required *) Rapid schema evolution workflow *) Dealing with multiple languages *) Dealing with misspellings in search *) Searching phone numbers Presented at Solr meetup in Montreal, in May 2018. Backing GitHub repository is: https://github.com/arafalov/solr-presentation-2018-may <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/rapidsolrschemadevelopment-180506230429-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Apache Solr is a search engine that can scale from a personal project to a multi-terabyte cloud hosted cluster. At the same time, this ability to scale, tune and adjust to the clients&#39; needs, can make it hard to understand the right aspects of Solr to bring to the problem. In this session, Alexandre Rafalovitch (an Apache Solr committer) will do a speed run demonstrating how to create and tune a Solr 7.3 instance for a hypothetical Corporate Phone Directory application. It will cover: *) The smallest learning schema/configuration required *) Rapid schema evolution workflow *) Dealing with multiple languages *) Dealing with misspellings in search *) Searching phone numbers Presented at Solr meetup in Montreal, in May 2018. Backing GitHub repository is: https://github.com/arafalov/solr-presentation-2018-may
Rapid Solr Schema Development (Phone directory) from Alexandre Rafalovitch
]]> 915 3 https://cdn.slidesharecdn.com/ss_thumbnails/rapidsolrschemadevelopment-180506230429-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Rebuilding Solr 6 examples - layer by layer (LuceneSolrRevolution 2016) /slideshow/rebuilding-solr-6-examples-layer-by-layer-lucenesolrrevolution-2016/67213792 rev2016rafalovitchdeconstructingexamples-slideshare-161015113706
Overview of Solr 6.2 examples, including features they have and challenges they present. A contrasting demonstration of a minimal viable example. A step-by-step deconstruction of "films" example to show what part of shipped examples are not actually needed.]]>
Overview of Solr 6.2 examples, including features they have and challenges they present. A contrasting demonstration of a minimal viable example. A step-by-step deconstruction of "films" example to show what part of shipped examples are not actually needed.]]> Sat, 15 Oct 2016 11:37:06 GMT /slideshow/rebuilding-solr-6-examples-layer-by-layer-lucenesolrrevolution-2016/67213792 arafalov@slideshare.net(arafalov) Rebuilding Solr 6 examples - layer by layer (LuceneSolrRevolution 2016) arafalov Overview of Solr 6.2 examples, including features they have and challenges they present. A contrasting demonstration of a minimal viable example. A step-by-step deconstruction of "films" example to show what part of shipped examples are not actually needed. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/rev2016rafalovitchdeconstructingexamples-slideshare-161015113706-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Overview of Solr 6.2 examples, including features they have and challenges they present. A contrasting demonstration of a minimal viable example. A step-by-step deconstruction of &quot;films&quot; example to show what part of shipped examples are not actually needed.
Rebuilding Solr 6 examples - layer by layer (LuceneSolrRevolution 2016) from Alexandre Rafalovitch
]]> 3256 6 https://cdn.slidesharecdn.com/ss_thumbnails/rev2016rafalovitchdeconstructingexamples-slideshare-161015113706-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Solr Troubleshooting - TreeMap approach /slideshow/solr-troubleshooting-treemap-approach/54004157 solrrevolution2015rafalovitchnofront-151016034615-lva1-app6891
Presentation on troubleshooting Solr issues based on the Root Cause Analysis methodology. Delivered at Lucene/Solr Revolution 2015.]]>
Presentation on troubleshooting Solr issues based on the Root Cause Analysis methodology. Delivered at Lucene/Solr Revolution 2015.]]> Fri, 16 Oct 2015 03:46:15 GMT /slideshow/solr-troubleshooting-treemap-approach/54004157 arafalov@slideshare.net(arafalov) Solr Troubleshooting - TreeMap approach arafalov Presentation on troubleshooting Solr issues based on the Root Cause Analysis methodology. Delivered at Lucene/Solr Revolution 2015. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/solrrevolution2015rafalovitchnofront-151016034615-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation on troubleshooting Solr issues based on the Root Cause Analysis methodology. Delivered at Lucene/Solr Revolution 2015.
Solr Troubleshooting - TreeMap approach from Alexandre Rafalovitch
]]> 4752 5 https://cdn.slidesharecdn.com/ss_thumbnails/solrrevolution2015rafalovitchnofront-151016034615-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Solr vs. Elasticsearch - Case by Case /slideshow/solr-vs-elasticsearch-case-by-case/41603173 lw14revolution-rafalovitch-presentation-notes-141115170557-conversion-gate02
A presentation given at the Lucene/Solr Revolution 2014 conference to show Solr and Elasticsearch features side by side. The presentation time was only 30 minutes, so only the core usability features were compared. The full video is embedded on the last slide.]]>
A presentation given at the Lucene/Solr Revolution 2014 conference to show Solr and Elasticsearch features side by side. The presentation time was only 30 minutes, so only the core usability features were compared. The full video is embedded on the last slide.]]> Sat, 15 Nov 2014 17:05:57 GMT /slideshow/solr-vs-elasticsearch-case-by-case/41603173 arafalov@slideshare.net(arafalov) Solr vs. Elasticsearch - Case by Case arafalov A presentation given at the Lucene/Solr Revolution 2014 conference to show Solr and Elasticsearch features side by side. The presentation time was only 30 minutes, so only the core usability features were compared. The full video is embedded on the last slide. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/lw14revolution-rafalovitch-presentation-notes-141115170557-conversion-gate02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> A presentation given at the Lucene/Solr Revolution 2014 conference to show Solr and Elasticsearch features side by side. The presentation time was only 30 minutes, so only the core usability features were compared. The full video is embedded on the last slide.
Solr vs. Elasticsearch - Case by Case from Alexandre Rafalovitch
]]> 90118 15 https://cdn.slidesharecdn.com/ss_thumbnails/lw14revolution-rafalovitch-presentation-notes-141115170557-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Solr Masterclass Bangkok, June 2014 /slideshow/solr-masterclass-bangkok-june-2014/36423122 solr-masterclass-bangkok-20140629-140628213455-phpapp02
Presentation given to mostly Thai audience in Bangkok, June 2014.]]>
Presentation given to mostly Thai audience in Bangkok, June 2014.]]> Sat, 28 Jun 2014 21:34:54 GMT /slideshow/solr-masterclass-bangkok-june-2014/36423122 arafalov@slideshare.net(arafalov) Solr Masterclass Bangkok, June 2014 arafalov Presentation given to mostly Thai audience in Bangkok, June 2014. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/solr-masterclass-bangkok-20140629-140628213455-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation given to mostly Thai audience in Bangkok, June 2014.
Solr Masterclass Bangkok, June 2014 from Alexandre Rafalovitch
]]> 3564 7 https://cdn.slidesharecdn.com/ss_thumbnails/solr-masterclass-bangkok-20140629-140628213455-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Introduction to Apache Solr /slideshow/introduction-to-solr-from-bangkok-meetup/33345535 solr-intro-presentation-final-140409200847-phpapp02
Introduction to Solr, presented at Bangkok meetup in April 2014: http://www.meetup.com/bkk-web/events/172090992/ Covers high-level use-cases for Solr. Demos include support for Thai language (with GitHub link for source). Has slides showcasing Solr-ecosystem as well as couple of ideas for possible Solr-specific learning projects.]]>
Introduction to Solr, presented at Bangkok meetup in April 2014: http://www.meetup.com/bkk-web/events/172090992/ Covers high-level use-cases for Solr. Demos include support for Thai language (with GitHub link for source). Has slides showcasing Solr-ecosystem as well as couple of ideas for possible Solr-specific learning projects.]]> Wed, 09 Apr 2014 20:08:47 GMT /slideshow/introduction-to-solr-from-bangkok-meetup/33345535 arafalov@slideshare.net(arafalov) Introduction to Apache Solr arafalov Introduction to Solr, presented at Bangkok meetup in April 2014: http://www.meetup.com/bkk-web/events/172090992/ Covers high-level use-cases for Solr. Demos include support for Thai language (with GitHub link for source). Has slides showcasing Solr-ecosystem as well as couple of ideas for possible Solr-specific learning projects. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/solr-intro-presentation-final-140409200847-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Introduction to Solr, presented at Bangkok meetup in April 2014: http://www.meetup.com/bkk-web/events/172090992/ Covers high-level use-cases for Solr. Demos include support for Thai language (with GitHub link for source). Has slides showcasing Solr-ecosystem as well as couple of ideas for possible Solr-specific learning projects.
Introduction to Apache Solr from Alexandre Rafalovitch
]]> 14589 5 https://cdn.slidesharecdn.com/ss_thumbnails/solr-intro-presentation-final-140409200847-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-arafalov-48x48.jpg?cb=1617146689 I am a full-stack IT specialist with more than 20 years of industry and non-profit experience. My original deep specialization was in Java, but I have since added C# (.Net) and advanced HTML/CSS/JavaScript. I can develop projects on Windows, Mac and Linux. Recently, I have been contributing to the Open Source community around Apache Solr by writing books, presenting and accepting to become an Apache Solr Committer. www.outerthoughts.com/ https://cdn.slidesharecdn.com/ss_thumbnails/activate18-rafalovitch-json-181017202420-thumbnail.jpg?width=320&height=320&fit=bounds arafalov/json-in-solr-from-top-to-bottom JSON in Solr: from top... https://cdn.slidesharecdn.com/ss_thumbnails/presentationapachecon20181-180924183756-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/from-content-to-search-speeddating-apache-solr-apachecon-2018-116330553/116330553 From content to search... https://cdn.slidesharecdn.com/ss_thumbnails/solr-aitasks-180727174011-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/searching-for-ai-leveraging-solr-for-classic-artificial-intelligence-tasks/107737664 Searching for AI - Lev...