Technical white papers

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Applications of kdb+

• Implementing trend indicators in kdb+
  James Galligan, 2020.04
• Comparing option-pricing methods in q
  Deanna Morgan, 2019.10
• kdb+ in astronomy
  Andrew Magowan & James Neill, 2019.09
• Signal processing and q
  Callum Biggs, 2018.08
• Streaming analytics: detecting card counters in Blackjack
  Caolan Rafferty & Krishan Subherwal, 2017.05
• Surveillance techniques to effectively monitor algo and high-frequency trading
  Sam Stanton-Cook, Ryan Sparks, Dan O’Riordan & Rob Hodgkinson, 2014.03
• Sample aggregation engine for market depth
  Stephen Dempsey, 2014.01
• Market Fragmentation: a kdb+ framework for multiple liquidity sources
  James Corcoran, 2013.01
• Transaction-cost analysis using kdb+
  Colm Earley, 2012.12

Interfaces

• Internet of Things with MQTT
  Rian Ó Cuinneagáin, 2021.06
• Publish/subscribe with the Solace event broker
  Himanshu Gupta, 2020.11
• C API for kdb+
  Jeremy Lucid, 2018.12
• Data visualization with kdb+ using ODBC: a Tableau case study
  Michaela Woods, 2018.07
• kdb+ and FIX messaging
  Damien Barker, 2014.01
• An introduction to graphical interfaces for kdb+ using C#
  Michael Reynolds, 2013.05
• Common design principles for kdb+ gateways
  Michael McClintock, 2012.12

Managing data and systems

• Mass ingestion through data loaders
  Enda Gildea, 2020.08
• Latency and efficiency considerations for a real-time surveillance system
  Jason Quinn, 2019.11
• Working with sym files
  Paula Clarke, 2019.03
• Socket sharding with kdb+ and Linux
  Marcus Clarke, 2018.01
• Query Routing: a kdb+ framework for a scalable load-balanced system
  Kevin Holsgrove, 2015.11
• Time-series simplification in kdb+: a method for dynamically shrinking Big Data
  Sean Keevey & Kevin Smyth, 2015.02
• A natural query interface for distributed systems
  Sean Keevey, 2014.11
• Multi-partitioned kdb+ databases: an equity options case study
  James Hanna, 2014.04
• Temporal data: a kdb+ framework for corporate actions
  Sean Rodgers, 2014.03
• kdb+tick profiling for throughput optimization
  Ian Kilpatrick, 2014.03
• Intraday writedown solutions
  Colm McCarthy, 2014.03
• Compression in kdb+
  Eoin Killeen, 2013.10
• Permissions with kdb+
  Tom Martin, 2013.05
• Multi-threading in kdb+: performance optimizations and use cases
  Edward Cormack, 2013.03
• kdb+ data-management techniques
  Simon Mescal, 2013.01
• Order Book: a kdb+ intraday storage and access methodology
  Niall Coulter, 2012.04
• Disaster-recovery planning for kdb+ tick systems
  Stewart Robinson

Machine learning

• NASA FDL: Analyzing social media data for disaster management
  Conor McCarthy, 2019.10
• NASA FDL: Predicting floods with q and machine learning
  Diane O’Donoghue, 2019.10
• An introduction to neural networks with kdb+
  James Neill, 2019.07
• NASA FDL: Exoplanets Challenge
  Esperanza López Aguilera, 2018.12
• NASA FDL: Space Weather Challenge
  Deanna Morgan, 2018.11
• Using embedPy to apply LASSO regression
  Samantha Gallagher, 2018.10
• K-Nearest Neighbor classification and pattern recognition with q
  Emanuele Melis, 2017.07

Programming in q

• Iterators
  Conor Slattery & Stephen Taylor, 2019.03
• kdb+ query scaling
  Ian Lester, 2014.01
• The application of foreign keys and linked columns in kdb+
  Kevin Smyth, 2013.04
• Columnar database and query optimization
  Ciáran Gorman, 2012.06