Uniting Your Data, Analytics, and AIDatabricks

Improve your data ecosystem through a unified robust, and agile data platform with our Databricks solutions.

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150+ Databricks Projects
40% Avg. Cost Reduction
3× Faster Model Deployment
99.9% Pipeline Uptime SLA
Databricks Silver Partner
Enterprise Expertise

Databricks-Certified
Knowledge Backing Our Services

Our team holds multiple certifications spanning data engineering, data science, and ML engineering on the Databricks Lakehouse Platform — ensuring every engagement is backed by verified expertise.

Databricks Databricks Certified
Data Engineer Associate
Databricks Databricks Certified
Data Engineer Professional
Databricks Databricks Certified
Associate Developer for Apache Spark
Databricks Databricks Certified
Machine Learning Associate
Databricks Databricks Certified
Machine Learning Professional
Databricks Databricks Certified
Data Analyst Associate
Client Stories

Real Results, Real Impact

See how we've helped enterprises unlock the full potential of the Databricks Lakehouse Platform.

LLM agents and workflow automation case study
Case study

Enhancing real-time business impact through dynamic workflows with LLM agents

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Databricks data engineering for media
Success story

Transforming data engineering with Databricks for a media company

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Real-time analytics and content decisions
Industry update

Enhanced content decisions through real-time analytics

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Our Approach

Comprehensive Databricks Services

01 — Generative AI

Generative AI

Leverage Databricks generative capabilities through custom Mosaic AI model fine-tuning. We implement autonomous agentic solutions that transform your data into actionable insights, new product ideas, and enhanced customer experiences.

  • Custom Mosaic AI fine-tuning
  • Agentic workflow design
  • LLM evaluation & monitoring
  • RAG pipeline implementation
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02 — Machine Learning & MLOps

Machine Learning & MLOps

Streamline the full ML lifecycle—from experimentation to production. We deploy robust MLOps pipelines using MLflow to ensure your models are scalable, reproducible, and impactful.

  • MLflow experiment tracking
  • Model serving & endpoints
  • Feature store management
  • A/B testing frameworks
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03 — Databricks implementation & optimization

Databricks Implementation & Optimization

End-to-end setup and fine-tuning of your Databricks environment. We optimize clusters and storage configurations to ensure peak performance at the lowest possible cost.

  • Cluster auto-scaling setup
  • Delta Lake optimization
  • Cost governance dashboards
  • Performance benchmarking
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04 — Unity Catalog migration

Unity Catalog Migration

Modernize your data governance with Unity Catalog. We help you migrate seamlessly while establishing unified access control and data lineage across your enterprise.

  • Unity Catalog migration
  • Row & column-level security
  • Data lineage mapping
  • Cross-workspace governance
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05 — Data engineering on Databricks

Data Engineering on Databricks

Build high-performance data pipelines using Delta Live Tables. We ensure your data is always pristine, timely, and ready for advanced analytics and AI.

  • Delta Live Tables pipelines
  • Streaming ingestion (Kafka)
  • Data quality SLAs
  • Multi-cloud data mesh
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Client Voices

What Our Clients Say

"

Smarter streaming starts here

Info Services helped us build smart AI agents using Amazon Bedrock. From voice to email, they made it easy to launch fast and grow quickly — we went from pilot to production in under 8 weeks.

HBO Max

Frank Windelski

CTO, Global Media

"

Cloud AI mastery at scale

Their team's expertise in Azure and AWS AI services was pivotal for our digital transformation. Scalable, secure, and smart — we reduced data processing costs by 42% in the first quarter.

Ford

Sarah Jenkins

VP Innovation, Automotive

FAQ

Frequently Asked Questions

The Lakehouse Platform unifies the best of data lakes and data warehouses on a single platform. It handles all your data, analytics, and AI workloads together — dramatically reducing architectural complexity, lowering total cost of ownership, and accelerating time to insight.

Our clients typically see 30–50% reduction in infrastructure costs, 3× faster model deployment cycles, and measurable improvements in data pipeline reliability within the first 90 days. We establish baseline metrics on day one so ROI is always trackable.

Unlike traditional warehouses, Databricks natively handles unstructured data, streaming workloads, and advanced AI on the same platform — eliminating costly ETL pipelines between separate systems and enabling real-time analytics at scale.

A foundational Databricks setup (environment, basic pipelines, security) typically takes 4–8 weeks. Full enterprise rollouts with advanced ML/AI capabilities range from 3–6 months. We use phased delivery so you see value early and often.
Insights

Latest Databricks Perspectives

Databricks
Checklist

Comprehensive Databricks implementation checklist for enterprise teams

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Industry

How Detroit manufacturers are transforming operations with cloud data and Databricks

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Strategy

How Databricks powers multi-cloud and global enterprise data strategies

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GET IN TOUCH

Start a Conversation that Drive Impact

Ready to accelerate your digital transformation? Our experts are here to help you navigate the future

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Databricks | Info Services