The Conference for Machine Learning Innovation

Daniel Wrigley

Daniel Wrigley
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Until June 2
✓ Save up to 226€
✓ Group discount
✓ Special discount for freelancers
Register Now
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Register Now
Thank you for attending!
Register Now
Join the ML Revolution!
Register until conference starts:
✓ 2 in 1 conference special
✓ 10 % Team Discount
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Join the ML Revolution!
Register until conference starts:
✓ 2 in 1 conference special
✓ 10 % Team Discount
Register Now

Daniel Wrigley

SHI GmbH

Daniel Wrigley works as a Lead Search & Analytics Consultant. He mostly deals with search and advanced analytics applications with a strong focus on modern open source projects such as NiFi, Solr, Spark, Kafka, or Zeppelin. His experience as a Solr trainer enabled him to co-author the first German book on Solr. His weakness for search and natural language processing originates from his computational linguistics studies at Ludwig-Maximilians-University Munich where he graduated in 2012.

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All talks by Daniel Wrigley

No current talks available.

All talks by Daniel Wrigley from other editions

Berlin 2021 Berlin 2021 -

Keyword Search is Dead! And so are Solr and Elasticsearch?



Munich 2018 Munich 2018 -

Actionable Insights with Real-time Streaming Analytics of Customer Reviews



All talks by Daniel Wrigley

No current talks available.

All talks by Daniel Wrigley from other editions

Berlin 2021 Berlin 2021 -

Keyword Search is Dead! And so are Solr and Elasticsearch?



Munich 2018 Munich 2018 -

Actionable Insights with Real-time Streaming Analytics of Customer Reviews



All talks by Daniel Wrigley

Berlin 2021 Berlin 2021 -

Keyword Search is Dead! And so are Solr and Elasticsearch?




All talks by Daniel Wrigley from other editions

Munich 2018 Munich 2018 -

Actionable Insights with Real-time Streaming Analytics of Customer Reviews



All talks by Daniel Wrigley

Berlin 2021 Berlin 2021 -

Keyword Search is Dead! And so are Solr and Elasticsearch?




All talks by Daniel Wrigley from other editions

Munich 2018 Munich 2018 -

Actionable Insights with Real-time Streaming Analytics of Customer Reviews



Behind the Tracks