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Samples, tutorials and other information about watsonx.data
The main features of ibm/watsonx-data are: Open Source Catalogs.
Projects with overlapping indexed features include: openaddresses/openaddresses — OpenAddresses is an open-source geospatial data aggregator and directory that collects public domain and open-license… dagworks-inc/hamilton — Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode… databand-ai/dbnd — DBND an open source framework for building and tracking data pipelines. DBND is used for processes ranging from data… datahub-project/datahub — DataHub is a metadata management platform designed to unify technical, operational, and business context across… elementary-data/elementary — Elementary OSS: dbt-native data observability. grai-io/grai-core.
OpenAddresses is an open-source geospatial data aggregator and directory that collects public domain and open-license address, parcel, and building datasets from governments and organizations worldwide. It functions as a global index and data warehouse for locating and distributing free geospatial records. The project operates a normalization pipeline that cleans and standardizes diverse source formats into a consistent global coordinate and attribute schema. This process includes a crowdsourced curation pipeline and programmatic quality validation to verify the spatial accuracy and formattin
DBND an open source framework for building and tracking data pipelines. DBND is used for processes ranging from data ingestion, preparation, machine learning model training and production.
DataHub is a metadata management platform designed to unify technical, operational, and business context across diverse data ecosystems. By utilizing a graph-based metadata model and an event-driven ingestion architecture, it creates a centralized source of truth that maps complex data relationships, lineage, and ownership. This foundational framework enables organizations to maintain a synchronized view of their data landscape, supporting both human-led discovery and automated data operations. The platform distinguishes itself through its focus on grounding artificial intelligence and autono
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.