Speaker
Description
The Colectica Data Engine is a versatile, platform-agnostic solution designed for handling statistical data, enabling the development of applications for curation, discovery, visualization, and analysis. It powers tools like Colectica Datasets and online platforms. It is accessible via desktop, command line, web interfaces, and APIs.
Key features include intelligent file conversions from proprietary formats, leveraging Apache Parquet and Apache Arrow for efficient handling of multiple languages, missing values, date mappings, and embedded DDI metadata such as value labels and documentation.
The engine also supports calculations of summary statistics, frequencies, crosstabs, charts, correlations, and regressions, with outputs in formats like DDI Codebook, DDI Lifecycle, DDI CDI, HTML, images, and JSON.
This presentation explores the engine's architecture, practical use cases, and its potential to streamline data workflows, fostering interoperability and advanced analytics in research, government, and industry settings. By bridging diverse data formats, standards, and tools, the Colectica Data Engine promises to enhance data accessibility and reliability for users worldwide.