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TECHNOLOGY

Uniting Your Data, Analytics, and AIDatabricks

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

Databricks Brickbuilder Partner Network Silver

Meet Our Champions

Databricks Solutions Architect Champion
Thennarasu Anbazhagan

Thennarasu Anbazhagan

Senior Data Engineer

Saketh Dathrika

Saketh Dathrika

Senior ML Engineer

Koushik Sri Sai Varma Datla

Koushik Sri Sai Varma Datla

Senior ML Engineer

Venkat kuncham

Venkat kuncham

Software Engineer

Databricks Certifications and Partner Showcase

Our team holds top-tier Databricks certifications across engineering, AI, and architecture:

  • Databricks Certified Data Engineer Associate
  • Databricks Certified Data Engineer Professional
  • Databricks Certified Machine Learning Engineer Associate
  • Databricks Certified Generative AI Engineer Associate
  • Databricks Partner Training Solution Architect Essentials
  • Databricks Certified Data Analyst Associate
Databricks Certifications: Data Engineer Associate, Data Engineer Professional, Machine Learning Engineer Associate, Generative AI Engineer Associate, Solution Architect Essentials, Data Analyst Associate
Info Services team at Databricks Partner Hub
Insights

Latest Databricks Perspectives

Comprehensive Databricks implementation checklist for enterprise teams
Checklist

Comprehensive Databricks implementation checklist for enterprise teams

Read Article
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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What Our Clients Say

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"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."

Client
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"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."

Client
OUR APPROACH

Service delivery blueprint

Generative AI

Leverage the latest in generative AI capabilities through Databricks' Data Intelligence Platform. We implement customized generative AI solutions that transform your raw data into actionable insights, new product ideas, and enhanced customer experiences.

Machine Learning & MLOps

Build, deploy, and manage machine learning models at scale with our comprehensive MLOps approach. From hyperparameter tuning to automated machine learning and deep learning, we help you achieve greater accuracy and operational efficiency.

Databricks Implementation & Optimization

Get up and running quickly with expert Databricks implementation tailored to your unique business requirements. We optimize your Databricks environment for performance, cost-efficiency, and scalability.

Unity Catalog Migration

Streamline data governance with Unity Catalog implementation. We help organizations transition to this unified governance layer for all data and AI assets across your Databricks Lakehouse Platform.

Data Engineering on Databricks

Our Data Engineering services enable you to quickly ingest, transform, and process batch and streaming data at scale. We help orchestrate ETL workloads in an open data lakehouse using Delta Live Tables and other preferred data engineering tools.

Data Architecture & Optimization

Design and implement a scalable, future-proof data architecture leveraging Databricks' capabilities. We optimize your existing data flows for improved performance and reduced costs.

Data Analytics & Dashboarding

Turn your data into compelling visualizations and dashboards that drive better decision-making across your organization. We implement end-to-end analytics solutions that deliver insights to stakeholders at all levels.

Migration to Databricks

Accelerate your data transformation with our fast, cost-effective assessment and migration services from legacy systems to modern Databricks architecture. Our rapid migration strategy, tools, and accelerators help you achieve faster data access on the cloud.

Databricks Health Check

Comprehensive assessment of your existing Databricks implementation to identify optimization opportunities, security vulnerabilities, and performance bottlenecks. We provide actionable recommendations to maximize your Databricks investment.

2.4M+Annual OPEX Saved

Measured delivery impact

85%Manual Effort Reduced

Automated operational workflows

3.5xDelivery Speed

Faster release cycle outcomes

90%Risk Mitigation

Lower incident and rework cost

Databricks-CertifiedKnowledge 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.

Real Results, Real Impact

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

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

Transforming data engineering with Databricks for a media company

Enhanced content decisions through real-time analytics

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.

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.

Sarah Jenkins

VP Innovation, Automotive

Frequently Asked Questions

What is the Databricks Lakehouse Platform and why should I consider it?

What ROI can I expect from a Databricks implementation?

How does Databricks compare to traditional data warehousing solutions?

How long does a typical Databricks implementation take?

Knowledge Hub

Latest Databricks Perspectives

Comprehensive Databricks implementation checklist for enterprise teams
Insights

Comprehensive Databricks implementation checklist for enterprise teams

Read Article
Insights

How Detroit manufacturers are transforming operations with cloud data and Databricks

Read Article
Insights

How Databricks powers multi-cloud and global enterprise data strategies

Read Article

Need clarity?

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.
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