MKG Solutions Databricks Demos
Official@mkgs-databricks-demos
Comprehensive technical registry for Databricks ecosystem management, encompassing Unity Catalog governance, Lakeflow pipelines, MLflow observability, and serverless compute deployment strategies.
Agent Skills by MKG Solutions Databricks Demos
Showing 47 vetted skills indexed across 2 GitHub repositories.
mkgs-databricks-demosdatabricks-ml-training
Train, register, and serve ML models on Databricks with MLflow and Unity Catalog.
mkgs-databricks-demosdatabricks-lakeflow-connect
Automate SaaS and database data ingestion into Databricks via Lakeflow Connect.
mkgs-databricks-demosdatabricks-ai-search
Create and query managed vector similarity indexes with Delta Lake integration.
mkgs-databricks-demosdatabricks-core
Manage Databricks CLI authentication, profiles, and SQL queries.
mkgs-databricks-demosdatabricks-iceberg
Manage and access Apache Iceberg tables within Databricks.
mkgs-databricks-demosdatabricks-pipelines
Automates Lakeflow Spark Declarative Pipelines on Databricks for batch and streaming data.
mkgs-databricks-demosdatabricks-ai-functions
Access Databricks AI functions for SQL and PySpark text analysis.
mkgs-databricks-demosdatabricks-synthetic-data-gen
Generate realistic synthetic data in Databricks using serverless Spark and Faker.
mkgs-databricks-demosdatabricks-apps-python
Develop Databricks applications with Python frameworks and OAuth authorization.
mkgs-databricks-demosdatabricks-apps
Construct and manage Databricks Apps for interactive data visualization and custom workflows.
mkgs-databricks-demosdatabricks-execution-compute
Execute code on Databricks via Connect, Serverless Job, or Interactive Cluster.
mkgs-databricks-demosdatabricks-app-design
Design user interfaces for custom Databricks Apps using AppKit/React components.
mkgs-databricks-demosdatabricks-lakebase
Manage Databricks Lakebase projects, branches, endpoints, and databases.
mkgs-databricks-demosdatabricks-dabs
Manage Databricks Asset Bundles lifecycle with the Databricks CLI.
mkgs-databricks-demosdatabricks-serverless-migration
Migrate Databricks workloads from classic to serverless compute with compatibility analysis.
mkgs-databricks-demosdatabricks-app-apx
Automate creation and deployment of full-stack Databricks apps with APX.
mkgs-databricks-demosdatabricks-config
Configure Databricks profiles in ~/.databrickscfg with login and compute options.
mkgs-databricks-demosquerying-mlflow-metrics
Fetch aggregated MLflow metrics with configurable server URL, experiment IDs, and aggregations.
mkgs-databricks-demossearching-mlflow-docs
Fetch MLflow documentation pages from the official llms.txt index.
mkgs-databricks-demosdatabricks-python-sdk
Manage Databricks resources programmatically with the Python SDK, CLI, and REST APIs.
mkgs-databricks-demosdatabricks-jobs
Automate Databricks Jobs creation, listing, triggering, updating, and monitoring.
mkgs-databricks-demosdatabricks-metric-views
Define reusable business metrics in Unity Catalog using YAML.
mkgs-databricks-demosdatabricks-aibi-dashboards
Design and deploy Databricks AI/BI dashboards with validated SQL queries.
mkgs-databricks-demosdatabricks-vector-search
Manage Databricks vector search endpoints and indexes for semantic retrieval.
Frequently Asked Questions About MKG Solutions Databricks Demos
FAQPage SchemaWhat specific data engineering tasks are supported by these capabilities?▼
These capabilities enable declarative pipeline construction, Unity Catalog volume management, Apache Iceberg table access, and high-performance MERGE upserts within DBSQL environments.
Which technical personas benefit from these Databricks-focused resources?▼
Data engineers, MLOps practitioners, and platform architects utilize these resources to manage compute clusters, govern data assets, and instrument model serving endpoints.
What are the primary prerequisites for implementing these Databricks configurations?▼
Implementation requires an active Databricks workspace, configured ~/.databrickscfg profiles, and appropriate Unity Catalog permissions for managing volumes and system tables.