Databricks
As an official Databricks delivery partner, we cover the full lifecycle of the Lakehouse and Mosaic AI platform — from license sales and technical support to training.
Databricks Lakehouse overview
Databricks is a cloud-native Lakehouse platform that runs on AWS, Azure, and GCP. Built on Delta Lake, it unifies the scalability of a data lake with the performance and reliability of a warehouse, centralizes security and governance with Unity Catalog, and runs traditional ML and generative AI on the same data through Mosaic AI.
- Delta Lake: open-format Lakehouse storage with ACID transactions
- Unity Catalog: unified governance for tables, files, models, and dashboards
- Databricks SQL and Photon: high-performance serverless query engine
- Mosaic AI: MLflow, Model Serving, Vector Search, and Agent Framework
Optimal data platform architecture
An end-to-end reference architecture for enterprise data platforms and AI/ML environments, refined through numerous real-world implementations.
Databricks ML / LLM Ops
MLflow-based model lifecycle management
Databricks product portfolio
Databricks Lakehouse Platform
With Delta Lake and Unity Catalog at the core, the platform delivers data engineering, analytics, BI, and ML in one place. Databricks SQL and Photon handle high-performance workloads.
Delta Live Tables & Workflows
Delta Live Tables (DLT) and Workflows let you declaratively build and operate production pipelines covering ingestion, quality, and scheduling.
Mosaic AI
A unified enterprise generative AI environment covering MLflow-based MLOps, Model Serving, Vector Search, the Agent Framework, DBRX, and leading Foundation Models.
Databricks services from Data Dynamics
License sales
As an official partner, we help procure Databricks licenses and commits — including the Lakehouse Platform and Mosaic AI — with workload-based sizing and cost optimization.
- Databricks workspace and commit contracts
- Unity Catalog and Lakehouse licensing
- Mosaic AI (Model Serving) usage planning
- Multi-cloud (AWS, Azure, GCP) adoption consulting
Technical support
End-to-end technical support for Databricks — from solution design and implementation to migration, performance tuning, and MLOps.
- Lakehouse and Unity Catalog implementation
- Migration from existing DW and data lakes to Databricks
- Delta Live Tables and Workflows design
- Databricks SQL and Photon performance tuning
- MLOps with MLflow and Model Serving
- Generative AI (DBRX, RAG) implementation support
Training
Hands-on Databricks training for data engineers, analysts, and ML engineers to quickly build Lakehouse and AI expertise inside your organization.
- Databricks platform administrator course
- Data engineer (DLT, Spark) courses
- Databricks SQL and analyst courses
- MLflow and Mosaic AI hands-on courses
- Generative AI and RAG workshops