SlideShare a Scribd company logo
1 of 18
This Ain’t Your Parents’ Search Engine 
Confidential and Proprietary © Copyright 2013 
Grant Ingersoll 
CTO, LucidWorks 
Twitter: @gsingers
Confidential and Proprietary © Copyright 2013 
Search is dead.
Long live search 
Confidential and Proprietary © Copyright 2013
Search is good for… 
• Traditional: Fast, fuzzy text matching 
across a large document collection 
• De-normalized data 
- “light” relational 
• Top N problems 
- Key-value (n=1) 
- Recommendations 
- “Good enough” classification, 
clustering 
• Faceting, aggregations, analytical 
slicing and dicing of data 
• Spatial, record/event linkage, alerting 
Confidential and Proprietary © Copyright 2013 
http://cheezburger.com/5243950080
Foundational Changes in Lucene/Solr 4 
•Reduced Memory usage 
•Pluggable Codecs/similarity 
•FS(A|T) 
•Doc Values (column oriented) 
•Spatial upgrade 
•New facets and functions 
•Cursors (deep paging) 
•Distributed capabilities 
•Joins/Grouping 
Confidential and Proprietary © Copyright 2013
Search + Hadoop 
• What’s Old is New Again 
• “Traditional” Use Cases: 
- Build/Store indexes 
- https://cwiki.apache.org/confluence/display/solr/ 
Running+Solr+on+HDFS 
•Enrichment and Signal processing 
- PageRank, Statistically Interesting Phrases, etc. 
Confidential and Proprietary © Copyright 2013
LucidWorks + Hadoop 
• Ingestion Help 
- Flexible Map-Reduce content ingestion supporting: 
»Directory of files 
»CSV, Writable, etc. 
»LogStash 
»Build Your Own 
• Pig Load/Store and UDFs 
• Hive 2-way support 
•http://www.lucidworks.com/search-for-hadoop/ 
- Open source this summer 
Confidential and Proprietary © Copyright 2013
LucidWorks SiLK 
Connectors 
Confidential and Proprietary © Copyright 2013 
LucidWorks Search 
JDBC 
Connector 
Web/File 
System Crawl 
Data 
Warehouse 
Hadoop 
Connectors 
Clickstream Networking 
Data Sources 
Servers
Search Analytics—Data Ingestion & Visualization 
Solr/Solr Cloud 
Confidential and Proprietary © Copyright 2013 
Gateway 
(Reverse Proxy) 
Solr Output 
Writer for 
LogStash (Http) 
Search Logs 
Visualization 
Configurable Dashboards 
Hadoop Connector 
LogStash GrokIngestMapper
LucidWorks Open Source 
• Logstash for Solr: https://github.com/LucidWorks/solrlogmanager 
• Banana (Kibana for Solr): https://github.com/LucidWorks/banana 
• Effortless AWS deployment and monitoring: 
http://www.github.com/lucidworks/solr-scale-tk 
• Data Quality Toolkit: https://github.com/LucidWorks/data-quality 
Confidential and Proprietary © Copyright 2013
Demos 
Confidential and Proprietary © Copyright 2013
Fly the friendly skies 
12 
http://www.ibm.com/developerworks/library/j-solr-lucene/index.html 
Confidential and Proprietary © Copyright 2013
Make $$$ 
• Leverage time series 
data and visualization 
using LucidWorks SiLK 
• Monitor Social 
• Traditional Research 
https://github.com/lucidworks/lws-financial-demo 
Confidential and Proprietary © Copyright 2013
Cure what ails you 
Confidential and Proprietary © Copyright 2013
Space-Time Continuum 
15 
• Leverage Solr’s spatial 
capabilities to index non-spatial 
data, such as time 
ranges 
- Useful for Open Hours, 
Shifts, etc. 
• Query using rectangle 
intersections 
- q = shift:"Intersects(0 19 
23 365)” 
https://people.apache.org/~hossman/spatial-for-non-spatial-meetup-20130117/ 
Confidential and Proprietary © Copyright 2013
Signal Processing for Search and Discovery 
• Signals power modern relevance 
– Clicks, conversions, sharing, history, signatures 
• LucidWorks 5 makes it easy to capture and 
leverage signals 
– Recommendations, analytics, discovery 
• Simplifies your data workflow 
• Simplify your operational footprint 
Confidential and Proprietary © Copyright 2013
Solr Powered Signal Processing 
• Use Case: eCommerce 
• Data: 
– Product catalog (~1.2m items) 
– Click data (~3.9M clicks) 
Confidential and Proprietary © Copyright 2013
Meta 
• http://www.lucidworks.com 
– grant@lucidworks.com 
– @gsingers 
• Sales 
– Steve Drane (based here in Chicago) 
– steve.drane@lucidworks.com 
• Lucene/Solr Revolution 
– Washington DC, Nov 11-14 
– http://www.lucenerevolution.org 
Confidential and Proprietary © Copyright 2013

More Related Content

What's hot

Splunk's Hunk: A Powerful Way to Visualize Your Data Stored in MongoDB
Splunk's Hunk: A Powerful Way to Visualize Your Data Stored in MongoDBSplunk's Hunk: A Powerful Way to Visualize Your Data Stored in MongoDB
Splunk's Hunk: A Powerful Way to Visualize Your Data Stored in MongoDBMongoDB
 
Webinar: Rapid Solr Development with Fusion
Webinar: Rapid Solr Development with FusionWebinar: Rapid Solr Development with Fusion
Webinar: Rapid Solr Development with FusionLucidworks
 
BlueData Hunk Integration: Splunk Analytics for Hadoop
BlueData Hunk Integration: Splunk Analytics for HadoopBlueData Hunk Integration: Splunk Analytics for Hadoop
BlueData Hunk Integration: Splunk Analytics for HadoopBlueData, Inc.
 
Hadoop world overview trends and topics
Hadoop world overview trends and topicsHadoop world overview trends and topics
Hadoop world overview trends and topicsValentin Kropov
 
Hunk - Unlocking The Power of Big Data Breakout Session
Hunk - Unlocking The Power of Big Data Breakout SessionHunk - Unlocking The Power of Big Data Breakout Session
Hunk - Unlocking The Power of Big Data Breakout SessionSplunk
 
Data Day Seattle 2015: Sarah Guido
Data Day Seattle 2015: Sarah GuidoData Day Seattle 2015: Sarah Guido
Data Day Seattle 2015: Sarah GuidoBitly
 
Ubiquitous Solr - A Database's Not-So-Evil Twin: Presented by Ayon Sinha, Wal...
Ubiquitous Solr - A Database's Not-So-Evil Twin: Presented by Ayon Sinha, Wal...Ubiquitous Solr - A Database's Not-So-Evil Twin: Presented by Ayon Sinha, Wal...
Ubiquitous Solr - A Database's Not-So-Evil Twin: Presented by Ayon Sinha, Wal...Lucidworks
 
4Developers 2018: Przetwarzanie Big Data w oparciu o architekturę Lambda na p...
4Developers 2018: Przetwarzanie Big Data w oparciu o architekturę Lambda na p...4Developers 2018: Przetwarzanie Big Data w oparciu o architekturę Lambda na p...
4Developers 2018: Przetwarzanie Big Data w oparciu o architekturę Lambda na p...PROIDEA
 
Big data for bay area big data developer
Big data for bay area big data developerBig data for bay area big data developer
Big data for bay area big data developer19scottmiller
 
Available platforms for Big Data 2.0
Available platforms for Big Data 2.0Available platforms for Big Data 2.0
Available platforms for Big Data 2.0Petr Novotný
 
Spark Summit East 2015 Keynote -- Databricks CEO Ion Stoica
Spark Summit East 2015 Keynote -- Databricks CEO Ion StoicaSpark Summit East 2015 Keynote -- Databricks CEO Ion Stoica
Spark Summit East 2015 Keynote -- Databricks CEO Ion StoicaDatabricks
 
Big Data on azure
Big Data on azureBig Data on azure
Big Data on azureDavid Giard
 
Uber's data science workbench
Uber's data science workbenchUber's data science workbench
Uber's data science workbenchRan Wei
 
Data Science at Scale by Sarah Guido
Data Science at Scale by Sarah GuidoData Science at Scale by Sarah Guido
Data Science at Scale by Sarah GuidoSpark Summit
 
Scaling Through Simplicity—How a 300 million User Chat App Reduced Data Engin...
Scaling Through Simplicity—How a 300 million User Chat App Reduced Data Engin...Scaling Through Simplicity—How a 300 million User Chat App Reduced Data Engin...
Scaling Through Simplicity—How a 300 million User Chat App Reduced Data Engin...Spark Summit
 
Building Data Pipelines with Spark and StreamSets
Building Data Pipelines with Spark and StreamSetsBuilding Data Pipelines with Spark and StreamSets
Building Data Pipelines with Spark and StreamSetsPat Patterson
 
Future of data visualization
Future of data visualizationFuture of data visualization
Future of data visualizationhadoopsphere
 

What's hot (20)

Splunk's Hunk: A Powerful Way to Visualize Your Data Stored in MongoDB
Splunk's Hunk: A Powerful Way to Visualize Your Data Stored in MongoDBSplunk's Hunk: A Powerful Way to Visualize Your Data Stored in MongoDB
Splunk's Hunk: A Powerful Way to Visualize Your Data Stored in MongoDB
 
Webinar: Rapid Solr Development with Fusion
Webinar: Rapid Solr Development with FusionWebinar: Rapid Solr Development with Fusion
Webinar: Rapid Solr Development with Fusion
 
BlueData Hunk Integration: Splunk Analytics for Hadoop
BlueData Hunk Integration: Splunk Analytics for HadoopBlueData Hunk Integration: Splunk Analytics for Hadoop
BlueData Hunk Integration: Splunk Analytics for Hadoop
 
Hadoop world overview trends and topics
Hadoop world overview trends and topicsHadoop world overview trends and topics
Hadoop world overview trends and topics
 
What's next for Big Data? -- Apache Spark
What's next for Big Data? -- Apache SparkWhat's next for Big Data? -- Apache Spark
What's next for Big Data? -- Apache Spark
 
Hunk - Unlocking The Power of Big Data Breakout Session
Hunk - Unlocking The Power of Big Data Breakout SessionHunk - Unlocking The Power of Big Data Breakout Session
Hunk - Unlocking The Power of Big Data Breakout Session
 
Data Day Seattle 2015: Sarah Guido
Data Day Seattle 2015: Sarah GuidoData Day Seattle 2015: Sarah Guido
Data Day Seattle 2015: Sarah Guido
 
Ubiquitous Solr - A Database's Not-So-Evil Twin: Presented by Ayon Sinha, Wal...
Ubiquitous Solr - A Database's Not-So-Evil Twin: Presented by Ayon Sinha, Wal...Ubiquitous Solr - A Database's Not-So-Evil Twin: Presented by Ayon Sinha, Wal...
Ubiquitous Solr - A Database's Not-So-Evil Twin: Presented by Ayon Sinha, Wal...
 
4Developers 2018: Przetwarzanie Big Data w oparciu o architekturę Lambda na p...
4Developers 2018: Przetwarzanie Big Data w oparciu o architekturę Lambda na p...4Developers 2018: Przetwarzanie Big Data w oparciu o architekturę Lambda na p...
4Developers 2018: Przetwarzanie Big Data w oparciu o architekturę Lambda na p...
 
Big data for bay area big data developer
Big data for bay area big data developerBig data for bay area big data developer
Big data for bay area big data developer
 
Available platforms for Big Data 2.0
Available platforms for Big Data 2.0Available platforms for Big Data 2.0
Available platforms for Big Data 2.0
 
Spark Summit East 2015 Keynote -- Databricks CEO Ion Stoica
Spark Summit East 2015 Keynote -- Databricks CEO Ion StoicaSpark Summit East 2015 Keynote -- Databricks CEO Ion Stoica
Spark Summit East 2015 Keynote -- Databricks CEO Ion Stoica
 
Big Data on azure
Big Data on azureBig Data on azure
Big Data on azure
 
Uber's data science workbench
Uber's data science workbenchUber's data science workbench
Uber's data science workbench
 
Data Science at Scale by Sarah Guido
Data Science at Scale by Sarah GuidoData Science at Scale by Sarah Guido
Data Science at Scale by Sarah Guido
 
963
963963
963
 
Scaling Through Simplicity—How a 300 million User Chat App Reduced Data Engin...
Scaling Through Simplicity—How a 300 million User Chat App Reduced Data Engin...Scaling Through Simplicity—How a 300 million User Chat App Reduced Data Engin...
Scaling Through Simplicity—How a 300 million User Chat App Reduced Data Engin...
 
Open Source Search FTW
Open Source Search FTWOpen Source Search FTW
Open Source Search FTW
 
Building Data Pipelines with Spark and StreamSets
Building Data Pipelines with Spark and StreamSetsBuilding Data Pipelines with Spark and StreamSets
Building Data Pipelines with Spark and StreamSets
 
Future of data visualization
Future of data visualizationFuture of data visualization
Future of data visualization
 

Viewers also liked

Box + Solr = Content Search for Business
Box + Solr = Content Search for BusinessBox + Solr = Content Search for Business
Box + Solr = Content Search for BusinessLucidworks
 
Solr Anti-Patterns: Presented by Rafał Kuć, Sematext
Solr Anti-Patterns: Presented by Rafał Kuć, SematextSolr Anti-Patterns: Presented by Rafał Kuć, Sematext
Solr Anti-Patterns: Presented by Rafał Kuć, SematextLucidworks
 
Reading Metadata Between the Lines - Searching for Stories, People, Places an...
Reading Metadata Between the Lines - Searching for Stories, People, Places an...Reading Metadata Between the Lines - Searching for Stories, People, Places an...
Reading Metadata Between the Lines - Searching for Stories, People, Places an...Lucidworks
 
The Latest in Spatial & Temporal Search: Presented by David Smiley
The Latest in Spatial & Temporal Search: Presented by David SmileyThe Latest in Spatial & Temporal Search: Presented by David Smiley
The Latest in Spatial & Temporal Search: Presented by David SmileyLucidworks
 
Integrating Hadoop & Solr
Integrating Hadoop & SolrIntegrating Hadoop & Solr
Integrating Hadoop & SolrLucidworks
 
Interactively Search and Visualize Your Data: Presented by Romain Rigaux, Clo...
Interactively Search and Visualize Your Data: Presented by Romain Rigaux, Clo...Interactively Search and Visualize Your Data: Presented by Romain Rigaux, Clo...
Interactively Search and Visualize Your Data: Presented by Romain Rigaux, Clo...Lucidworks
 
Optimizing Multilingual Search: Presented by David Troiano, Basis Technology
Optimizing Multilingual Search: Presented by David Troiano, Basis TechnologyOptimizing Multilingual Search: Presented by David Troiano, Basis Technology
Optimizing Multilingual Search: Presented by David Troiano, Basis TechnologyLucidworks
 
“N1QL” a Rich Query Language for Couchbase: Presented by Don Pinto, Couchbase
“N1QL” a Rich Query Language for Couchbase: Presented by Don Pinto, Couchbase“N1QL” a Rich Query Language for Couchbase: Presented by Don Pinto, Couchbase
“N1QL” a Rich Query Language for Couchbase: Presented by Don Pinto, CouchbaseLucidworks
 
Building a Solr-Driven Web Portal: Presented by Katia Muser & Ravi Mynampaty,...
Building a Solr-Driven Web Portal: Presented by Katia Muser & Ravi Mynampaty,...Building a Solr-Driven Web Portal: Presented by Katia Muser & Ravi Mynampaty,...
Building a Solr-Driven Web Portal: Presented by Katia Muser & Ravi Mynampaty,...Lucidworks
 
Solr Compute Cloud – An Elastic Solr Infrastructure: Presented by Nitin Sharm...
Solr Compute Cloud – An Elastic Solr Infrastructure: Presented by Nitin Sharm...Solr Compute Cloud – An Elastic Solr Infrastructure: Presented by Nitin Sharm...
Solr Compute Cloud – An Elastic Solr Infrastructure: Presented by Nitin Sharm...Lucidworks
 
Benchmarking Solr Performance
Benchmarking Solr PerformanceBenchmarking Solr Performance
Benchmarking Solr PerformanceLucidworks
 
Building a Large Scale SEO/SEM Application with Apache Solr: Presented by Rah...
Building a Large Scale SEO/SEM Application with Apache Solr: Presented by Rah...Building a Large Scale SEO/SEM Application with Apache Solr: Presented by Rah...
Building a Large Scale SEO/SEM Application with Apache Solr: Presented by Rah...Lucidworks
 
Journey of Implementing Solr at Target: Presented by Raja Ramachandran, Target
Journey of Implementing Solr at Target: Presented by Raja Ramachandran, TargetJourney of Implementing Solr at Target: Presented by Raja Ramachandran, Target
Journey of Implementing Solr at Target: Presented by Raja Ramachandran, TargetLucidworks
 
10 Keys to Solr's Future: Presented by Grant Ingersoll, Lucidworks
10 Keys to Solr's Future: Presented by Grant Ingersoll, Lucidworks10 Keys to Solr's Future: Presented by Grant Ingersoll, Lucidworks
10 Keys to Solr's Future: Presented by Grant Ingersoll, LucidworksLucidworks
 
Near Real Time Indexing Kafka Messages into Apache Blur: Presented by Dibyend...
Near Real Time Indexing Kafka Messages into Apache Blur: Presented by Dibyend...Near Real Time Indexing Kafka Messages into Apache Blur: Presented by Dibyend...
Near Real Time Indexing Kafka Messages into Apache Blur: Presented by Dibyend...Lucidworks
 
Search at Twitter: Presented by Michael Busch, Twitter
Search at Twitter: Presented by Michael Busch, TwitterSearch at Twitter: Presented by Michael Busch, Twitter
Search at Twitter: Presented by Michael Busch, TwitterLucidworks
 
High Performance Solr and JVM Tuning Strategies used for MapQuest’s Search Ah...
High Performance Solr and JVM Tuning Strategies used for MapQuest’s Search Ah...High Performance Solr and JVM Tuning Strategies used for MapQuest’s Search Ah...
High Performance Solr and JVM Tuning Strategies used for MapQuest’s Search Ah...Lucidworks
 
Deduplication Using Solr: Presented by Neeraj Jain, Stubhub
Deduplication Using Solr: Presented by Neeraj Jain, StubhubDeduplication Using Solr: Presented by Neeraj Jain, Stubhub
Deduplication Using Solr: Presented by Neeraj Jain, StubhubLucidworks
 

Viewers also liked (18)

Box + Solr = Content Search for Business
Box + Solr = Content Search for BusinessBox + Solr = Content Search for Business
Box + Solr = Content Search for Business
 
Solr Anti-Patterns: Presented by Rafał Kuć, Sematext
Solr Anti-Patterns: Presented by Rafał Kuć, SematextSolr Anti-Patterns: Presented by Rafał Kuć, Sematext
Solr Anti-Patterns: Presented by Rafał Kuć, Sematext
 
Reading Metadata Between the Lines - Searching for Stories, People, Places an...
Reading Metadata Between the Lines - Searching for Stories, People, Places an...Reading Metadata Between the Lines - Searching for Stories, People, Places an...
Reading Metadata Between the Lines - Searching for Stories, People, Places an...
 
The Latest in Spatial & Temporal Search: Presented by David Smiley
The Latest in Spatial & Temporal Search: Presented by David SmileyThe Latest in Spatial & Temporal Search: Presented by David Smiley
The Latest in Spatial & Temporal Search: Presented by David Smiley
 
Integrating Hadoop & Solr
Integrating Hadoop & SolrIntegrating Hadoop & Solr
Integrating Hadoop & Solr
 
Interactively Search and Visualize Your Data: Presented by Romain Rigaux, Clo...
Interactively Search and Visualize Your Data: Presented by Romain Rigaux, Clo...Interactively Search and Visualize Your Data: Presented by Romain Rigaux, Clo...
Interactively Search and Visualize Your Data: Presented by Romain Rigaux, Clo...
 
Optimizing Multilingual Search: Presented by David Troiano, Basis Technology
Optimizing Multilingual Search: Presented by David Troiano, Basis TechnologyOptimizing Multilingual Search: Presented by David Troiano, Basis Technology
Optimizing Multilingual Search: Presented by David Troiano, Basis Technology
 
“N1QL” a Rich Query Language for Couchbase: Presented by Don Pinto, Couchbase
“N1QL” a Rich Query Language for Couchbase: Presented by Don Pinto, Couchbase“N1QL” a Rich Query Language for Couchbase: Presented by Don Pinto, Couchbase
“N1QL” a Rich Query Language for Couchbase: Presented by Don Pinto, Couchbase
 
Building a Solr-Driven Web Portal: Presented by Katia Muser & Ravi Mynampaty,...
Building a Solr-Driven Web Portal: Presented by Katia Muser & Ravi Mynampaty,...Building a Solr-Driven Web Portal: Presented by Katia Muser & Ravi Mynampaty,...
Building a Solr-Driven Web Portal: Presented by Katia Muser & Ravi Mynampaty,...
 
Solr Compute Cloud – An Elastic Solr Infrastructure: Presented by Nitin Sharm...
Solr Compute Cloud – An Elastic Solr Infrastructure: Presented by Nitin Sharm...Solr Compute Cloud – An Elastic Solr Infrastructure: Presented by Nitin Sharm...
Solr Compute Cloud – An Elastic Solr Infrastructure: Presented by Nitin Sharm...
 
Benchmarking Solr Performance
Benchmarking Solr PerformanceBenchmarking Solr Performance
Benchmarking Solr Performance
 
Building a Large Scale SEO/SEM Application with Apache Solr: Presented by Rah...
Building a Large Scale SEO/SEM Application with Apache Solr: Presented by Rah...Building a Large Scale SEO/SEM Application with Apache Solr: Presented by Rah...
Building a Large Scale SEO/SEM Application with Apache Solr: Presented by Rah...
 
Journey of Implementing Solr at Target: Presented by Raja Ramachandran, Target
Journey of Implementing Solr at Target: Presented by Raja Ramachandran, TargetJourney of Implementing Solr at Target: Presented by Raja Ramachandran, Target
Journey of Implementing Solr at Target: Presented by Raja Ramachandran, Target
 
10 Keys to Solr's Future: Presented by Grant Ingersoll, Lucidworks
10 Keys to Solr's Future: Presented by Grant Ingersoll, Lucidworks10 Keys to Solr's Future: Presented by Grant Ingersoll, Lucidworks
10 Keys to Solr's Future: Presented by Grant Ingersoll, Lucidworks
 
Near Real Time Indexing Kafka Messages into Apache Blur: Presented by Dibyend...
Near Real Time Indexing Kafka Messages into Apache Blur: Presented by Dibyend...Near Real Time Indexing Kafka Messages into Apache Blur: Presented by Dibyend...
Near Real Time Indexing Kafka Messages into Apache Blur: Presented by Dibyend...
 
Search at Twitter: Presented by Michael Busch, Twitter
Search at Twitter: Presented by Michael Busch, TwitterSearch at Twitter: Presented by Michael Busch, Twitter
Search at Twitter: Presented by Michael Busch, Twitter
 
High Performance Solr and JVM Tuning Strategies used for MapQuest’s Search Ah...
High Performance Solr and JVM Tuning Strategies used for MapQuest’s Search Ah...High Performance Solr and JVM Tuning Strategies used for MapQuest’s Search Ah...
High Performance Solr and JVM Tuning Strategies used for MapQuest’s Search Ah...
 
Deduplication Using Solr: Presented by Neeraj Jain, Stubhub
Deduplication Using Solr: Presented by Neeraj Jain, StubhubDeduplication Using Solr: Presented by Neeraj Jain, Stubhub
Deduplication Using Solr: Presented by Neeraj Jain, Stubhub
 

Similar to This Ain't Your Parents' Search Engine

What's new in Lucene and Solr 4.x
What's new in Lucene and Solr 4.xWhat's new in Lucene and Solr 4.x
What's new in Lucene and Solr 4.xGrant Ingersoll
 
Big Data Retrospective - STL Big Data IDEA Jan 2019
Big Data Retrospective - STL Big Data IDEA Jan 2019Big Data Retrospective - STL Big Data IDEA Jan 2019
Big Data Retrospective - STL Big Data IDEA Jan 2019Adam Doyle
 
Hadoop Data Modeling
Hadoop Data ModelingHadoop Data Modeling
Hadoop Data ModelingAdam Doyle
 
Part 3 - Modern Data Warehouse with Azure Synapse
Part 3 - Modern Data Warehouse with Azure SynapsePart 3 - Modern Data Warehouse with Azure Synapse
Part 3 - Modern Data Warehouse with Azure SynapseNilesh Gule
 
Hadoop and Data Science for the Enterprise (Strata & Hadoop World Conference ...
Hadoop and Data Science for the Enterprise (Strata & Hadoop World Conference ...Hadoop and Data Science for the Enterprise (Strata & Hadoop World Conference ...
Hadoop and Data Science for the Enterprise (Strata & Hadoop World Conference ...Mark Slusar
 
Building a data driven search application with LucidWorks SiLK
Building a data driven search application with LucidWorks SiLKBuilding a data driven search application with LucidWorks SiLK
Building a data driven search application with LucidWorks SiLKLucidworks (Archived)
 
Webinar: Is Spark Hadoop's Friend or Foe?
Webinar: Is Spark Hadoop's Friend or Foe? Webinar: Is Spark Hadoop's Friend or Foe?
Webinar: Is Spark Hadoop's Friend or Foe? Zaloni
 
Coping Strategies for the Death of Unlimited Storage
Coping Strategies for the Death of Unlimited StorageCoping Strategies for the Death of Unlimited Storage
Coping Strategies for the Death of Unlimited StorageGlobus
 
10 Things Learned Releasing Databricks Enterprise Wide
10 Things Learned Releasing Databricks Enterprise Wide10 Things Learned Releasing Databricks Enterprise Wide
10 Things Learned Releasing Databricks Enterprise WideDatabricks
 
Teradata Loom Introductory Presentation
Teradata Loom Introductory PresentationTeradata Loom Introductory Presentation
Teradata Loom Introductory Presentationmlang222
 
Cloudera Search Webinar: Big Data Search, Bigger Insights
Cloudera Search Webinar: Big Data Search, Bigger InsightsCloudera Search Webinar: Big Data Search, Bigger Insights
Cloudera Search Webinar: Big Data Search, Bigger InsightsCloudera, Inc.
 
Objectivity/DB: A Multipurpose NoSQL Database
Objectivity/DB: A Multipurpose NoSQL DatabaseObjectivity/DB: A Multipurpose NoSQL Database
Objectivity/DB: A Multipurpose NoSQL DatabaseInfiniteGraph
 
Case Study: Implementing Hadoop and Elastic Map Reduce on Scale-out Object S...
Case Study: Implementing Hadoop and Elastic Map Reduce on Scale-out Object S...Case Study: Implementing Hadoop and Elastic Map Reduce on Scale-out Object S...
Case Study: Implementing Hadoop and Elastic Map Reduce on Scale-out Object S...Cloudian
 
Analyzing Hadoop Data Using Sparklyr

Analyzing Hadoop Data Using Sparklyr
Analyzing Hadoop Data Using Sparklyr

Analyzing Hadoop Data Using Sparklyr
Cloudera, Inc.
 
Search all the things
Search all the thingsSearch all the things
Search all the thingscyberswat
 
Searching for Better Code: Presented by Grant Ingersoll, Lucidworks
Searching for Better Code: Presented by Grant Ingersoll, LucidworksSearching for Better Code: Presented by Grant Ingersoll, Lucidworks
Searching for Better Code: Presented by Grant Ingersoll, LucidworksLucidworks
 

Similar to This Ain't Your Parents' Search Engine (20)

What's new in Lucene and Solr 4.x
What's new in Lucene and Solr 4.xWhat's new in Lucene and Solr 4.x
What's new in Lucene and Solr 4.x
 
Big Data Retrospective - STL Big Data IDEA Jan 2019
Big Data Retrospective - STL Big Data IDEA Jan 2019Big Data Retrospective - STL Big Data IDEA Jan 2019
Big Data Retrospective - STL Big Data IDEA Jan 2019
 
Oracle big data discovery 994294
Oracle big data discovery   994294Oracle big data discovery   994294
Oracle big data discovery 994294
 
Hadoop Data Modeling
Hadoop Data ModelingHadoop Data Modeling
Hadoop Data Modeling
 
Part 3 - Modern Data Warehouse with Azure Synapse
Part 3 - Modern Data Warehouse with Azure SynapsePart 3 - Modern Data Warehouse with Azure Synapse
Part 3 - Modern Data Warehouse with Azure Synapse
 
Building Search Engines
Building Search EnginesBuilding Search Engines
Building Search Engines
 
Hadoop and Data Science for the Enterprise (Strata & Hadoop World Conference ...
Hadoop and Data Science for the Enterprise (Strata & Hadoop World Conference ...Hadoop and Data Science for the Enterprise (Strata & Hadoop World Conference ...
Hadoop and Data Science for the Enterprise (Strata & Hadoop World Conference ...
 
Building a data driven search application with LucidWorks SiLK
Building a data driven search application with LucidWorks SiLKBuilding a data driven search application with LucidWorks SiLK
Building a data driven search application with LucidWorks SiLK
 
CC -Unit4.pptx
CC -Unit4.pptxCC -Unit4.pptx
CC -Unit4.pptx
 
Webinar: Is Spark Hadoop's Friend or Foe?
Webinar: Is Spark Hadoop's Friend or Foe? Webinar: Is Spark Hadoop's Friend or Foe?
Webinar: Is Spark Hadoop's Friend or Foe?
 
Coping Strategies for the Death of Unlimited Storage
Coping Strategies for the Death of Unlimited StorageCoping Strategies for the Death of Unlimited Storage
Coping Strategies for the Death of Unlimited Storage
 
10 Things Learned Releasing Databricks Enterprise Wide
10 Things Learned Releasing Databricks Enterprise Wide10 Things Learned Releasing Databricks Enterprise Wide
10 Things Learned Releasing Databricks Enterprise Wide
 
Sept 24 NISO Virtual Conference: Library Data in the Cloud
Sept 24 NISO Virtual Conference: Library Data in the CloudSept 24 NISO Virtual Conference: Library Data in the Cloud
Sept 24 NISO Virtual Conference: Library Data in the Cloud
 
Teradata Loom Introductory Presentation
Teradata Loom Introductory PresentationTeradata Loom Introductory Presentation
Teradata Loom Introductory Presentation
 
Cloudera Search Webinar: Big Data Search, Bigger Insights
Cloudera Search Webinar: Big Data Search, Bigger InsightsCloudera Search Webinar: Big Data Search, Bigger Insights
Cloudera Search Webinar: Big Data Search, Bigger Insights
 
Objectivity/DB: A Multipurpose NoSQL Database
Objectivity/DB: A Multipurpose NoSQL DatabaseObjectivity/DB: A Multipurpose NoSQL Database
Objectivity/DB: A Multipurpose NoSQL Database
 
Case Study: Implementing Hadoop and Elastic Map Reduce on Scale-out Object S...
Case Study: Implementing Hadoop and Elastic Map Reduce on Scale-out Object S...Case Study: Implementing Hadoop and Elastic Map Reduce on Scale-out Object S...
Case Study: Implementing Hadoop and Elastic Map Reduce on Scale-out Object S...
 
Analyzing Hadoop Data Using Sparklyr

Analyzing Hadoop Data Using Sparklyr
Analyzing Hadoop Data Using Sparklyr

Analyzing Hadoop Data Using Sparklyr

 
Search all the things
Search all the thingsSearch all the things
Search all the things
 
Searching for Better Code: Presented by Grant Ingersoll, Lucidworks
Searching for Better Code: Presented by Grant Ingersoll, LucidworksSearching for Better Code: Presented by Grant Ingersoll, Lucidworks
Searching for Better Code: Presented by Grant Ingersoll, Lucidworks
 

More from Lucidworks

Search is the Tip of the Spear for Your B2B eCommerce Strategy
Search is the Tip of the Spear for Your B2B eCommerce StrategySearch is the Tip of the Spear for Your B2B eCommerce Strategy
Search is the Tip of the Spear for Your B2B eCommerce StrategyLucidworks
 
Drive Agent Effectiveness in Salesforce
Drive Agent Effectiveness in SalesforceDrive Agent Effectiveness in Salesforce
Drive Agent Effectiveness in SalesforceLucidworks
 
How Crate & Barrel Connects Shoppers with Relevant Products
How Crate & Barrel Connects Shoppers with Relevant ProductsHow Crate & Barrel Connects Shoppers with Relevant Products
How Crate & Barrel Connects Shoppers with Relevant ProductsLucidworks
 
Lucidworks & IMRG Webinar – Best-In-Class Retail Product Discovery
Lucidworks & IMRG Webinar – Best-In-Class Retail Product DiscoveryLucidworks & IMRG Webinar – Best-In-Class Retail Product Discovery
Lucidworks & IMRG Webinar – Best-In-Class Retail Product DiscoveryLucidworks
 
Connected Experiences Are Personalized Experiences
Connected Experiences Are Personalized ExperiencesConnected Experiences Are Personalized Experiences
Connected Experiences Are Personalized ExperiencesLucidworks
 
Intelligent Insight Driven Policing with MC+A, Toronto Police Service and Luc...
Intelligent Insight Driven Policing with MC+A, Toronto Police Service and Luc...Intelligent Insight Driven Policing with MC+A, Toronto Police Service and Luc...
Intelligent Insight Driven Policing with MC+A, Toronto Police Service and Luc...Lucidworks
 
[Webinar] Intelligent Policing. Leveraging Data to more effectively Serve Com...
[Webinar] Intelligent Policing. Leveraging Data to more effectively Serve Com...[Webinar] Intelligent Policing. Leveraging Data to more effectively Serve Com...
[Webinar] Intelligent Policing. Leveraging Data to more effectively Serve Com...Lucidworks
 
Preparing for Peak in Ecommerce | eTail Asia 2020
Preparing for Peak in Ecommerce | eTail Asia 2020Preparing for Peak in Ecommerce | eTail Asia 2020
Preparing for Peak in Ecommerce | eTail Asia 2020Lucidworks
 
Accelerate The Path To Purchase With Product Discovery at Retail Innovation C...
Accelerate The Path To Purchase With Product Discovery at Retail Innovation C...Accelerate The Path To Purchase With Product Discovery at Retail Innovation C...
Accelerate The Path To Purchase With Product Discovery at Retail Innovation C...Lucidworks
 
AI-Powered Linguistics and Search with Fusion and Rosette
AI-Powered Linguistics and Search with Fusion and RosetteAI-Powered Linguistics and Search with Fusion and Rosette
AI-Powered Linguistics and Search with Fusion and RosetteLucidworks
 
The Service Industry After COVID-19: The Soul of Service in a Virtual Moment
The Service Industry After COVID-19: The Soul of Service in a Virtual MomentThe Service Industry After COVID-19: The Soul of Service in a Virtual Moment
The Service Industry After COVID-19: The Soul of Service in a Virtual MomentLucidworks
 
Webinar: Smart answers for employee and customer support after covid 19 - Europe
Webinar: Smart answers for employee and customer support after covid 19 - EuropeWebinar: Smart answers for employee and customer support after covid 19 - Europe
Webinar: Smart answers for employee and customer support after covid 19 - EuropeLucidworks
 
Smart Answers for Employee and Customer Support After COVID-19
Smart Answers for Employee and Customer Support After COVID-19Smart Answers for Employee and Customer Support After COVID-19
Smart Answers for Employee and Customer Support After COVID-19Lucidworks
 
Applying AI & Search in Europe - featuring 451 Research
Applying AI & Search in Europe - featuring 451 ResearchApplying AI & Search in Europe - featuring 451 Research
Applying AI & Search in Europe - featuring 451 ResearchLucidworks
 
Webinar: Accelerate Data Science with Fusion 5.1
Webinar: Accelerate Data Science with Fusion 5.1Webinar: Accelerate Data Science with Fusion 5.1
Webinar: Accelerate Data Science with Fusion 5.1Lucidworks
 
Webinar: 5 Must-Have Items You Need for Your 2020 Ecommerce Strategy
Webinar: 5 Must-Have Items You Need for Your 2020 Ecommerce StrategyWebinar: 5 Must-Have Items You Need for Your 2020 Ecommerce Strategy
Webinar: 5 Must-Have Items You Need for Your 2020 Ecommerce StrategyLucidworks
 
Where Search Meets Science and Style Meets Savings: Nordstrom Rack's Journey ...
Where Search Meets Science and Style Meets Savings: Nordstrom Rack's Journey ...Where Search Meets Science and Style Meets Savings: Nordstrom Rack's Journey ...
Where Search Meets Science and Style Meets Savings: Nordstrom Rack's Journey ...Lucidworks
 
Apply Knowledge Graphs and Search for Real-World Decision Intelligence
Apply Knowledge Graphs and Search for Real-World Decision IntelligenceApply Knowledge Graphs and Search for Real-World Decision Intelligence
Apply Knowledge Graphs and Search for Real-World Decision IntelligenceLucidworks
 
Webinar: Building a Business Case for Enterprise Search
Webinar: Building a Business Case for Enterprise SearchWebinar: Building a Business Case for Enterprise Search
Webinar: Building a Business Case for Enterprise SearchLucidworks
 
Why Insight Engines Matter in 2020 and Beyond
Why Insight Engines Matter in 2020 and BeyondWhy Insight Engines Matter in 2020 and Beyond
Why Insight Engines Matter in 2020 and BeyondLucidworks
 

More from Lucidworks (20)

Search is the Tip of the Spear for Your B2B eCommerce Strategy
Search is the Tip of the Spear for Your B2B eCommerce StrategySearch is the Tip of the Spear for Your B2B eCommerce Strategy
Search is the Tip of the Spear for Your B2B eCommerce Strategy
 
Drive Agent Effectiveness in Salesforce
Drive Agent Effectiveness in SalesforceDrive Agent Effectiveness in Salesforce
Drive Agent Effectiveness in Salesforce
 
How Crate & Barrel Connects Shoppers with Relevant Products
How Crate & Barrel Connects Shoppers with Relevant ProductsHow Crate & Barrel Connects Shoppers with Relevant Products
How Crate & Barrel Connects Shoppers with Relevant Products
 
Lucidworks & IMRG Webinar – Best-In-Class Retail Product Discovery
Lucidworks & IMRG Webinar – Best-In-Class Retail Product DiscoveryLucidworks & IMRG Webinar – Best-In-Class Retail Product Discovery
Lucidworks & IMRG Webinar – Best-In-Class Retail Product Discovery
 
Connected Experiences Are Personalized Experiences
Connected Experiences Are Personalized ExperiencesConnected Experiences Are Personalized Experiences
Connected Experiences Are Personalized Experiences
 
Intelligent Insight Driven Policing with MC+A, Toronto Police Service and Luc...
Intelligent Insight Driven Policing with MC+A, Toronto Police Service and Luc...Intelligent Insight Driven Policing with MC+A, Toronto Police Service and Luc...
Intelligent Insight Driven Policing with MC+A, Toronto Police Service and Luc...
 
[Webinar] Intelligent Policing. Leveraging Data to more effectively Serve Com...
[Webinar] Intelligent Policing. Leveraging Data to more effectively Serve Com...[Webinar] Intelligent Policing. Leveraging Data to more effectively Serve Com...
[Webinar] Intelligent Policing. Leveraging Data to more effectively Serve Com...
 
Preparing for Peak in Ecommerce | eTail Asia 2020
Preparing for Peak in Ecommerce | eTail Asia 2020Preparing for Peak in Ecommerce | eTail Asia 2020
Preparing for Peak in Ecommerce | eTail Asia 2020
 
Accelerate The Path To Purchase With Product Discovery at Retail Innovation C...
Accelerate The Path To Purchase With Product Discovery at Retail Innovation C...Accelerate The Path To Purchase With Product Discovery at Retail Innovation C...
Accelerate The Path To Purchase With Product Discovery at Retail Innovation C...
 
AI-Powered Linguistics and Search with Fusion and Rosette
AI-Powered Linguistics and Search with Fusion and RosetteAI-Powered Linguistics and Search with Fusion and Rosette
AI-Powered Linguistics and Search with Fusion and Rosette
 
The Service Industry After COVID-19: The Soul of Service in a Virtual Moment
The Service Industry After COVID-19: The Soul of Service in a Virtual MomentThe Service Industry After COVID-19: The Soul of Service in a Virtual Moment
The Service Industry After COVID-19: The Soul of Service in a Virtual Moment
 
Webinar: Smart answers for employee and customer support after covid 19 - Europe
Webinar: Smart answers for employee and customer support after covid 19 - EuropeWebinar: Smart answers for employee and customer support after covid 19 - Europe
Webinar: Smart answers for employee and customer support after covid 19 - Europe
 
Smart Answers for Employee and Customer Support After COVID-19
Smart Answers for Employee and Customer Support After COVID-19Smart Answers for Employee and Customer Support After COVID-19
Smart Answers for Employee and Customer Support After COVID-19
 
Applying AI & Search in Europe - featuring 451 Research
Applying AI & Search in Europe - featuring 451 ResearchApplying AI & Search in Europe - featuring 451 Research
Applying AI & Search in Europe - featuring 451 Research
 
Webinar: Accelerate Data Science with Fusion 5.1
Webinar: Accelerate Data Science with Fusion 5.1Webinar: Accelerate Data Science with Fusion 5.1
Webinar: Accelerate Data Science with Fusion 5.1
 
Webinar: 5 Must-Have Items You Need for Your 2020 Ecommerce Strategy
Webinar: 5 Must-Have Items You Need for Your 2020 Ecommerce StrategyWebinar: 5 Must-Have Items You Need for Your 2020 Ecommerce Strategy
Webinar: 5 Must-Have Items You Need for Your 2020 Ecommerce Strategy
 
Where Search Meets Science and Style Meets Savings: Nordstrom Rack's Journey ...
Where Search Meets Science and Style Meets Savings: Nordstrom Rack's Journey ...Where Search Meets Science and Style Meets Savings: Nordstrom Rack's Journey ...
Where Search Meets Science and Style Meets Savings: Nordstrom Rack's Journey ...
 
Apply Knowledge Graphs and Search for Real-World Decision Intelligence
Apply Knowledge Graphs and Search for Real-World Decision IntelligenceApply Knowledge Graphs and Search for Real-World Decision Intelligence
Apply Knowledge Graphs and Search for Real-World Decision Intelligence
 
Webinar: Building a Business Case for Enterprise Search
Webinar: Building a Business Case for Enterprise SearchWebinar: Building a Business Case for Enterprise Search
Webinar: Building a Business Case for Enterprise Search
 
Why Insight Engines Matter in 2020 and Beyond
Why Insight Engines Matter in 2020 and BeyondWhy Insight Engines Matter in 2020 and Beyond
Why Insight Engines Matter in 2020 and Beyond
 

Recently uploaded

Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
Vector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesVector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesZilliz
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piececharlottematthew16
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostZilliz
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clashcharlottematthew16
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 

Recently uploaded (20)

Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
Vector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesVector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector Databases
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piece
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clash
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 

This Ain't Your Parents' Search Engine

  • 1. This Ain’t Your Parents’ Search Engine Confidential and Proprietary © Copyright 2013 Grant Ingersoll CTO, LucidWorks Twitter: @gsingers
  • 2. Confidential and Proprietary © Copyright 2013 Search is dead.
  • 3. Long live search Confidential and Proprietary © Copyright 2013
  • 4. Search is good for… • Traditional: Fast, fuzzy text matching across a large document collection • De-normalized data - “light” relational • Top N problems - Key-value (n=1) - Recommendations - “Good enough” classification, clustering • Faceting, aggregations, analytical slicing and dicing of data • Spatial, record/event linkage, alerting Confidential and Proprietary © Copyright 2013 http://cheezburger.com/5243950080
  • 5. Foundational Changes in Lucene/Solr 4 •Reduced Memory usage •Pluggable Codecs/similarity •FS(A|T) •Doc Values (column oriented) •Spatial upgrade •New facets and functions •Cursors (deep paging) •Distributed capabilities •Joins/Grouping Confidential and Proprietary © Copyright 2013
  • 6. Search + Hadoop • What’s Old is New Again • “Traditional” Use Cases: - Build/Store indexes - https://cwiki.apache.org/confluence/display/solr/ Running+Solr+on+HDFS •Enrichment and Signal processing - PageRank, Statistically Interesting Phrases, etc. Confidential and Proprietary © Copyright 2013
  • 7. LucidWorks + Hadoop • Ingestion Help - Flexible Map-Reduce content ingestion supporting: »Directory of files »CSV, Writable, etc. »LogStash »Build Your Own • Pig Load/Store and UDFs • Hive 2-way support •http://www.lucidworks.com/search-for-hadoop/ - Open source this summer Confidential and Proprietary © Copyright 2013
  • 8. LucidWorks SiLK Connectors Confidential and Proprietary © Copyright 2013 LucidWorks Search JDBC Connector Web/File System Crawl Data Warehouse Hadoop Connectors Clickstream Networking Data Sources Servers
  • 9. Search Analytics—Data Ingestion & Visualization Solr/Solr Cloud Confidential and Proprietary © Copyright 2013 Gateway (Reverse Proxy) Solr Output Writer for LogStash (Http) Search Logs Visualization Configurable Dashboards Hadoop Connector LogStash GrokIngestMapper
  • 10. LucidWorks Open Source • Logstash for Solr: https://github.com/LucidWorks/solrlogmanager • Banana (Kibana for Solr): https://github.com/LucidWorks/banana • Effortless AWS deployment and monitoring: http://www.github.com/lucidworks/solr-scale-tk • Data Quality Toolkit: https://github.com/LucidWorks/data-quality Confidential and Proprietary © Copyright 2013
  • 11. Demos Confidential and Proprietary © Copyright 2013
  • 12. Fly the friendly skies 12 http://www.ibm.com/developerworks/library/j-solr-lucene/index.html Confidential and Proprietary © Copyright 2013
  • 13. Make $$$ • Leverage time series data and visualization using LucidWorks SiLK • Monitor Social • Traditional Research https://github.com/lucidworks/lws-financial-demo Confidential and Proprietary © Copyright 2013
  • 14. Cure what ails you Confidential and Proprietary © Copyright 2013
  • 15. Space-Time Continuum 15 • Leverage Solr’s spatial capabilities to index non-spatial data, such as time ranges - Useful for Open Hours, Shifts, etc. • Query using rectangle intersections - q = shift:"Intersects(0 19 23 365)” https://people.apache.org/~hossman/spatial-for-non-spatial-meetup-20130117/ Confidential and Proprietary © Copyright 2013
  • 16. Signal Processing for Search and Discovery • Signals power modern relevance – Clicks, conversions, sharing, history, signatures • LucidWorks 5 makes it easy to capture and leverage signals – Recommendations, analytics, discovery • Simplifies your data workflow • Simplify your operational footprint Confidential and Proprietary © Copyright 2013
  • 17. Solr Powered Signal Processing • Use Case: eCommerce • Data: – Product catalog (~1.2m items) – Click data (~3.9M clicks) Confidential and Proprietary © Copyright 2013
  • 18. Meta • http://www.lucidworks.com – grant@lucidworks.com – @gsingers • Sales – Steve Drane (based here in Chicago) – steve.drane@lucidworks.com • Lucene/Solr Revolution – Washington DC, Nov 11-14 – http://www.lucenerevolution.org Confidential and Proprietary © Copyright 2013

Editor's Notes

  1. I chose LogStash for data transformation and import for two reasons:   It provides a powerful framework for extracting, grokking and transforming log data into a structured format that Solr can consume and that SILK can use for dashboards. LucidWorks’ Hadoop Connectors have a GrokIngestMapper that allows me to reuse the same LogStash Filters to work with larger volumes of files on HDFS (more details on this in a future article).
  2. Highlights: Joins, stats, pivot faceting
  3. http://localhost:3334/#/dashboard/solr/Trading Time series, joins
  4. TARDIS: http://2.bp.blogspot.com/-ysN8JskY4WM/UEZNhBywQKI/AAAAAAAABdg/gXE0A9OO6Mk/s1600/13881_doctor_who.jpg Work under way to formalize
  5. but not as a search engine for content more like a search engine for behavior