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Honza Kral

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Beyond the basics with ElasticsearchDjangoCon US 20152015-09-06
Shows concrete recipes: index queries with percolator reverse search to drive alerts, live search and classification (geo by percolating a geo point against…
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Make your logs work for youPyCon Australia 20152015-07-31
Centralize noisy, heterogeneous logs into an HTTP/JSON store using Elasticsearch, Logstash, Kibana and a pipeline of shippers → queue → Logstash →…
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Beyond the basics with ElasticsearchEuroPython 20152015-07-20
Shows concrete tricks rather than promises: use Elasticsearch aggregations for trend detection that compare time slices, use the percolator to index queries…
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Real World Django Q&ADjangoCon US 20142014-08-30
Start by optimizing for developer productivity and use known tools: Postgres + Redis + Varnish rather than exotic databases. Instrument and monitor from day…
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From __icontains to searchDjangoCon US 20142014-08-30
Shows how full‑text search is built from an inverted index (the sorted posting lists that power ~90% of searches), how analysis (tokenization, lowercasing…
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Elasticsearch DSLDjangoCon US 20142014-08-30
Elasticsearch DSL is a Python query builder that constructs real Elasticsearch JSON, delegates transport to elasticsearch-py, and returns attribute-accessible…
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Make sense of your (big) data using ElasticsearchPyData Berlin 20142014-07-25
Shows concrete claims and demos: Elasticsearch indexes real JSON documents, runs full‑text and structured queries, faceting and nested/parent‑child queries…
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