~/talks

Jordan Tigani

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titleconferencedate
DuckLake: Learning from Cloud Data Warehouses to Build a Robust “Lakehouse”Future Data Systems Seminar Series (Fall 2025)2025-09-22
DuckLake stores metadata in a SQL catalog so file pruning runs as SQL queries against ducklake_file and ducklake_column_stats instead of traversing JSON…
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Panel: The Future of Database as a ServiceDBaaS DevDay North America 20232023-11-06
Clear, actionable claims: licensing is shifting to BSL/open-source 3.0 to block cloud competitors; expect many vendors to adopt source-available models…
Panel on
Motherduck: Data Analytics in the Post Big-Data EraCompass Tech Summit 20232023-10-05
Claim: Big data is dead — most queries touch <1GB and recent data, so design shifts from massive scale-out clusters to local-first analytics. Demonstrations…
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KEEPING UP IN A DATA-INTENSIVE WORLD WITH SINGLESTORECrunch Conference 20212021-10-07
SingleStore claims a single engine for transactions, analytics and full‑text search by combining an in‑memory row store with an SSD transaction log, a seekable…
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Building the World's Largest Enterprise Data Warehouse with BigQueryGoogle Cloud Next '182018-07-24
Claims BigQuery removes the table-scan constraint via Dremel-style distributed execution over Colossus and Jupiter and adds dynamic query planning to choose…
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Predicting Football Matches Using DataStrata + Hadoop World Conference in Barcelona 20142014-11-19
Builds logistic‑regression models on Google Cloud (Dataflow for ingestion, BigQuery for features, Compute Engine for training, Docker, pandas, StatsModels…
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