The SciOps Blog

Science *at Scale*

Stay updated with the latest research developments, announcements, and specialized resources from DataJoint designed to advance your scientific work.

Featured blog posts

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News & Announcements
November 12, 2025
Welcoming John Apathy to the DataJoint Team as Strategic Advisor
DataJoint welcomes industry leader John Apathy as Strategic Advisor to advance AI-powered transformation in life sciences research.
Jim Olson
Chief Executive Officer
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Community & Events
November 12, 2025
DataJoint at SfN 2025
Milagros Marín, PhD
SciOps Engineer
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Community & Events
November 11, 2025
DataJoint at the PharmStars PharmaTech Innovation Summit
Dana Wojtasinski, PharmD
VP of Growth & Partnerships
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News & Announcements
October 13, 2025
Brian Napack Joins DataJoint as Strategic Advisor to Advance Scientific Research
Jim Olson
Chief Executive Officer

Latest blog posts

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Community & Events
Tutorials & How-Tos
News & Announcements
Insights & Ideas
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Insights & Ideas
September 28, 2021
Data needs direction: five clarifications for database design
Five ways DataJoint simplifies relational database design—by saying no to SQL’s most harmful features
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Tutorials & How-Tos
June 14, 2020
DataJoint Basics in Ten Minutes
A hands-on intro to building your first DataJoint pipeline—tables, inserts, dependencies, and queries
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News & Announcements
August 6, 2018
Preprint: The DataJoint Model
Introducing the DataJoint framework—a powerful, reproducible way to manage scientific data and computation in Python or MATLAB
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Insights & Ideas
March 15, 2018
Optional dependencies
What’s the best way to handle optional foreign keys? DataJoint weighs three approaches—and explains why NULLs are finally on the roadmap
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Insights & Ideas
January 16, 2018
Aggregation functions within restriction conditions
DataJoint makes it possible to write clear, reliable queries for max values and group averages—without breaking entity integrity
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Insights & Ideas
August 14, 2017
Strong Entity Integrity: Part 7 — Division
DataJoint makes relational division understandable—treating it as a clear, structured restriction that preserves entity identity
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Insights & Ideas
August 13, 2017
Strong Entity Integrity: Part 6 — Semijoin and antijoin
DataJoint avoids SQL join complexity by treating filtering as clear, consistent restriction—making results easier to understand
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Insights & Ideas
August 12, 2017
Strong Entity Integrity: Part 5 — Aggregation
Unlike SQL, DataJoint keeps aggregation grounded—ensuring every result stays tied to a real, defined entity class
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Insights & Ideas
August 11, 2017
Strong Entity Integrity: Part 4 — Join
DataJoint treats every join as a meaningful combination of entity classes—preserving structure and identity even when simpler keys might suffice

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