dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Datasette
Datasette is a tool for exploring and publishing data. It helps people take data of any shape, analyze and explore it, and publish it as an interactive website and accompanying API.
Spreadsheet Software to End Data Chaos | Grist
Grist is a relational spreadsheet-database that empowers you to organize your data, your way. Get started with a free trial.
Spreadsheet Software to End Data Chaos | Grist
Grist is a relational spreadsheet-database that empowers you to organize your data, your way. Get started with a free trial.
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.
Relational foundations for functorial data migration | Proceedings of the 15th Symposium on Database Programming Languages
In this paper we present a simple database definition language: that of categories and functors. A database schema is a small category and an instance is a set-valued functor on it. We show that morphisms of schemas induce three ''data migration ...
drawDB | Online database diagram editor and SQL generator
Online database entity-relationship diagram editor, data modeler, and SQL generator. Design, visualize, and export scripts without an account and completely free of charge.
A Graph-Based Firebase
This essay covers the design behind Instant. If the schleps we face as UI engineers are actually database problems in disguise, would a database-looking solution solve them?
Broadening Access to Data Science Education in High School and Higher Education through Open Source Tools and Training
As data plays a more integral part to our daily lives, there is a growing need for data science education. However, access to curriculum, tooling, and infrastructure is not readily available to many students in the U.S. We review the current state of data science education tools and implementations as well as highlight a set of emerging tools and technologies. We conclude that broadening data science education requires a multifaceted approach, involving technological accessibility, instructional equity, curricular relevance, and long-term sustainability.
The Tao of Datastar Guide
Datastar is just a tool. The Tao of Datastar, or “the Datastar way” as it is often referred to, is a set of opinions from the core team on how to best use Datastar to build maintainable, scalable, high-performance web apps.
22. Introduction — Spatial Data Management with Earth Engine
A database management system (DBMS) allows users to store, insert, delete, and update information in a database. Spatial databases go a step further because they record data with geographic coordinates.
Dynamic Data Science
<p>Use our Common Online Data Analysis Platform (CODAP) to explore dynamic data science activities and gain fluency in data moves to examine large datasets.</p>
Track your Data Pipelines
Track and document dplyr data pipelines. As you filter, mutate, and join your way through a data set, dtrackr seamlessly keeps track of your data flow and makes publication ready documentation of a data pipeline simple.
Data exchange: getting to the core | ACM Transactions on Database Systems
Data exchange is the problem of taking data structured under a source schema and creating an instance of a target schema that reflects the source data as accurately as possible. Given a source instance, there may be many solutions to the data exchange ...
Lean Data Automation: A Principal Components Approach
Plus: A nimble, composable example with Github Actions, Hamilton, and Runhouse
