Eigen X + Databricks

Unify your data and accelerate your AI

Enterprise organizations today can find themselves drowning in data fragmentation. With the volume of data increasing and the introduction of generative AI only amplifying the issue, businesses need a solution that unifies data, empowers data engineers to make better decisions, and embeds AI across every function. Built on an open Lakehouse architecture, Databricks simplifies ETL, data warehousing, governance, and AI workloads in one cohesive platform.

  • Certified Data Engineer Professional

  • Certified Generative AI Engineer Associate

  • Certified Data Analyst Associate

  • Certified Data Engineer Associate

  • Certified Databricks Machine Learning Associate

Intelligent Data Warehousing

Databricks architecture diagram: data pipeline from source systems through the Lakehouse (Data Engineering, AI/ML, medallion architecture) into Genie natural language query, dashboards, and BI reporting.

A Valued Partnership

As a Databricks Partner, we have collaborated with Databricks on projects across industries. By leveraging the power of our relationship with Databricks, our certified developers can guide you through best practices and can address and expedite issues with access to Databricks resources and solutions engineers.

Our Key Databricks Expertise

  • Databricks unifies data, analytics, and AI on a single platform which eliminates the integration complexity that comes from stitching together separate tools for ingestion, transformation, reporting, and AI. We use this unified foundation to move clients from raw source data through to production analytics and AI within one governed environment.

  • Databricks supports reliable ETL for both batch and streaming workloads, with ingestion, transformation, and orchestration handled at scale through Lakeflow. We implement a standardized medallion architecture on Delta Lake, with automated data-quality checks and Lakeflow Jobs providing orchestration, monitoring, and observability across the pipeline.

  • The Databricks lakehouse delivers open, serverless data warehousing that lowers total cost of ownership while keeping data analytics-ready. We model curated fact and dimension tables for downstream reporting and serves scalable, low-latency queries through Databricks SQL Warehouses and Databricks Dashboards.

  • Databricks brings AI to business intelligence from the ground up, with Genie enabling conversational, natural-language analytics alongside dashboards. We organize Genie Spaces around key operational domains so business users can ask questions in plain English and get reliable answers.

  • The platform's Mosaic AI capabilities, including Agent Bricks, let teams build and deploy production-ready ML and GenAI applications grounded in their own data. We apply MLflow for experiment tracking, model versioning, and registry-based promotion workflows, and we use the Feature Store to maintain centralized, reusable feature definitions.

  • Delta Lake provides the open storage foundation for the lakehouse, with ACID transactions, time travel, and schema enforcement and evolution, while Delta Sharing enables open sharing of data, analytics, and AI assets across organizational boundaries. Lakebase further extends the platform with serverless Postgres built for data applications and AI agents.