Desktop Connector
The Desktop connector — overview, download/install, technologies, running via GUI/CLI/Docker/Kubernetes, dictionary import, advanced JDBC, CSV CLI, preview features, orphaned objects, and URN mode.
15 articles
Running the Connector with the Graphical User Interface (GUI)
Step-by-step: launch the Desktop connector's GUI, pick a source technology, connect, choose CSV vs. API export, handle orphaned objects, and complete an import (100,000-object limit per run).
Running the Connector from the Command Line (CLI)
The full CLI reference for the Desktop connector — every command and option (import-api, import-csv, plugins), example commands, retrieving technical IDs, increasing memory, and vault/password FAQ.
Import Metadata into the Dictionary Using the DataGalaxy Connector
How the Desktop connector maps relational (schema/table/column/keys) and non-relational (directory/file/field) source objects into DataGalaxy's Dictionary, with file-masking syntax for grouping.
DataGalaxy CSV Connector in Command Line (CLI)
The DataGalaxy CSV connector's CLI-only usage — required CSV headers per object type (path/type, PKs, FKs, links, processing units), source-type parameters, and full example commands.
The Desktop Connector
What the Desktop connector does (API mode vs. CSV export mode), its two components (connector + plugins), who can use it, and its full release history.
Advanced JDBC Connector for the Dictionary
How to configure the "Other (advanced)" JDBC connection mode to use a custom driver or custom SQL queries (tables/columns/PK/FK) when importing into the Dictionary, with a full Microsoft SQL Server example.
Running the Connector Using a Docker Image
How to build and run a Docker image for the Desktop connector CLI: preparing files, testing CLI mode, the Dockerfile and entrypoint script, running the container, and proxy configuration.
The URN Mode
What a URN is and how it uniquely addresses data-system objects, how URN mode changes connector responsibilities vs. Standard mode, object filing/reorganization rules (including the Dictionary's limitations), which connectors support it, and a full FAQ.
Experiment with New Connector Preview Features
How to enable connector preview features via the DATAGALAXY_CONNECTOR_FEATURES environment variable, and a full walkthrough of the Snowflake Data Metric Functions (DMF) quality-monitoring preview. Preview features change quickly — verify current status before relying on this.
Download and Install the Desktop Connector
How to download and install the Desktop connector, system requirements, every file/folder in its installation directory, proxy configuration, and how to fix PKIX certificate errors on Windows/Mac/Linux.
Download the Desktop Connector and Its Plugins Programmatically
The REST API routes for listing and downloading the Desktop connector and its plugins programmatically — useful for automating updates in CLI or Docker deployments.
Orchestrating the Desktop Connector's Execution with Kubernetes (k8s)
How to schedule the Desktop connector's Docker image as a Kubernetes Job — verifying the setup, the job .yaml file, and launching/monitoring with kubectl. Example image tag is outdated — check before using.
Technologies Supported by the Desktop Connector
Where to find the list of Desktop-connector-supported technologies from the platform's import feature.
Desktop Connector Operating Mode
How the Desktop connector works — its two modes (API vs. file export), how incremental data updates behave, and where to find GUI/CLI usage instructions.
Orphaned Objects Handling
Key terms (asset, data system, object, orphaned object), why orphaned-objects handling exists, the 3 configurable actions (do nothing/obsolete/delete), and the difference in connection-scope logic between standard and URN mode.