ACI Infotech

Build Your Data Lakehouse with Databricks

Certified Databricks partners delivering lakehouse architecture, implementation, and ML at scale.

Databricks Elite Partner
Spark Certified
AWS Partner
Azure Partner

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Are You Struggling With...

Data Lake Chaos

Data swamp instead of data lake—no governance, quality, or discoverability.

Spark Performance

Spark jobs running too slow or consuming too many resources.

ML in Production

Data science models stuck in notebooks, never making it to production.

Separate Analytics & ML

BI and data science teams working on different platforms with duplicated data.

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Databricks Implementations
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Faster Data Processing
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Infrastructure Cost Savings
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Databricks Partner

Unified Analytics with Databricks

We implement the Databricks Lakehouse Platform to unify data engineering, analytics, and ML.

01

Assess

Evaluate your data landscape and lakehouse readiness.

02

Design

Architect a medallion architecture with Delta Lake best practices.

03

Build

Implement data pipelines, Unity Catalog, and ML workflows.

04

Scale

Optimize clusters, implement MLOps, and enable self-service.

What You Get

Unified Platform

One platform for data engineering, BI, and ML workloads.

Delta Lake Excellence

ACID transactions, time travel, and quality enforcement.

MLOps Foundation

MLflow pipelines for reproducible, production ML.

Cost Efficiency

Optimized clusters and autoscaling for minimal spend.

Proven Results

Real outcomes from organizations like yours.

Data Lake to Lakehouse

Transformed a chaotic data lake into a governed lakehouse, reducing data preparation time by 32%.

healthcare

ML at Scale

Deployed 50+ ML models to production using Databricks and MLflow for a retail personalization platform.

retail

Frequently Asked Questions

A lakehouse combines data lake flexibility with warehouse reliability using Delta Lake for ACID transactions, schema enforcement, and governance.
Yes, we migrate Spark workloads from EMR, Dataproc, HDInsight, and on-premise Hadoop clusters to Databricks.
Absolutely. Unity Catalog is essential for governance—we implement it for unified access control, lineage, and data discovery.
We implement MLflow for experiment tracking, model registry, and deployment, integrated with your CI/CD pipelines.

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