This book is an introduction to the problem of data integration and a rigorous account of one of the leading approaches to solving this problem.
Data integration | Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
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Introduction to the Field of Data Engineering - 📖 Patterns of Data Engineering
Explore the evolution and challenges of data engineering from its roots in business intelligence to its current status as a critical field in technology. This chapter offers a comprehensive introduction, covering the historical development, current trends, and future directions of data engineering, alongside personal insights from the author's journey in the field.
A Data Utopia for Science-of-Science
Here I want to briefly sketch out a vision for how to solve a key set of problems facing science-of-science researchers, using the relatively new idea of a ‘data trust.’ In my ideal wor…
Data Supply Chains
Data is a critical resource. Like oil, gold, or lithium, both companies and countries covet data. Ultimately, like oil, data’s flow can enrich those that posses
Overview data quality dimensions [Data Management Wiki]
MyData
The human-centric approach to data is aimed at a fair, sustainable, and prosperous digital society. In such a society, people get value from their data and set the agenda on how it is used. And for organisations, the ethical use of data is always the most attractive option.
What makes something data?
This is a question I posted on BlueSky on Friday 11/21/25, inspired by a talk I recently attended about evaluation of “AI” systems. I think…
An Introduction to Statistical Learning
As the scale and scope of data collection continue to increase across virtually all fields, statistical learning has become a critical toolkit for anyone who wishes to understand data. An Introduction to Statistical Learning provides a broad and less technical treatment of key topics in statistical learning. This book is appropriate for anyone who wishes to use contemporary tools for data analysis.
Eventual Interoperability – Pieter Colpaert
A pragmatic approach to interoperability: model your data richly for your own needs, then allow the eventual creation of one‑to‑many alignments.
A relational model of data for large shared data banks | Communications of the ACM
Future users of large data banks must be protected from having to know how the data is organized in the machine (the internal representation). A prompting service which supplies such information is not a satisfactory solution. Activities of users at ...
Cambria | Proceedings of the 8th Workshop on Principles and Practice of Consistency for Distributed Data
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Algebraic data integration
In this paper, we develop an algebraic approach to data integration by combining techniques from functional programming, category theory, and database theory. In our formalism, database schemas and instances are algebraic (multi-sorted equational) theories of a certain form. Schemas denote categories, and instances denote their initial (term) algebras. The instances on a schema S form a category, S–Inst, and a morphism of schemas F : S → T induces three adjoint data migration functors: ΣF : S–Inst → T–Inst, defined by substitution along F, which has a right adjoint ΔF : T–Inst → S–Inst, which in turn has a right adjoint ΠF : S–Inst → T–Inst. We present a query language based on for/where/return syntax where each query denotes a sequence of data migration functors; a pushout-based design pattern for performing data integration using our formalism; and describe the implementation of our formalism in a tool we call AQL (Algebraic Query Language).
Datacurve | The data engine for frontier AI
Custom data for long-horizon reasoning, software engineering, and data science.
Data Mesh Architecture: Interoperability, Co-Operation, and Co-Regulation
This paper examines the emergence of data mesh architectures and data intermediaries as key components in emerging data economies. It explores how data mesh arc
Data Minimisation in Communication Protocols: A Formal Analysis...
With the growing amount of personal information exchanged over the Internet, privacy is becoming more and more a concern for users. One of the key principles in protecting privacy is data...
