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

Insights & Ideas
September 26, 2025
Neuropixels, Plainly Explained
What you’ll learn: which probe fits your study, the open tools you need, and how to keep results trustworthy.
Milagros Marín, PhD
SciOps Engineer
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Community & Events
September 22, 2025
DataJoint at Minneapolis: Building AI-Ready DataOps for Modern Neuroscience
Milagros Marín, PhD
SciOps Engineer
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Community & Events
September 5, 2025
DataJoint at SENC 2025
Milagros Marín, PhD
SciOps Engineer
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Insights & Ideas
August 26, 2025
AI and the Evolution of Relational Schemas
Dimitri Yatsenko, PhD
Founder • Chief Science & Technology Officer

Latest blog posts

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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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Insights & Ideas
July 31, 2017
Strong Entity Integrity: Part 3 — Restriction
DataJoint preserves entity identity—even when restricting rows—ensuring every query remains logically sound and scientifically meaningful
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Insights & Ideas
July 30, 2017
Strong Entity Integrity: Part 1
By enforcing entity integrity in every operation, DataJoint brings strong data governance and reproducibility to scientific workflows
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Insights & Ideas
July 30, 2017
Strong Entity Integrity: Part 2 — Projection
Unlike SQL, DataJoint’s projections always preserve entity identity—ensuring every result still refers to real, named entities
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Insights & Ideas
July 7, 2017
Yet another ORM?
Unlike other ORMs, DataJoint is built for science—uniting data, computation, and structure to maintain integrity in research workflows
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Insights & Ideas
June 23, 2017
DataJoint ERDs are DAGs
Why DataJoint avoids loops in its diagrams—and how acyclic designs make scientific workflows easier to build, understand, and maintain
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Insights & Ideas
June 22, 2017
Only entity-representing tables
DataJoint simplifies databases by treating every table as a real-world thing—and making all connections follow one clear rule

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