Muoro secures a $3.2M grant from Brownfield to expand Global Capability Centers and Centres of Excellence in tier-II cities, North India.•Value Engineering Partner for AI, Data & Modernization•Engineered, Operated and owned within explicit controlled boundaries•
Muoro secures a $3.2M grant from Brownfield to expand Global Capability Centers and Centres of Excellence in tier-II cities, North India.•Value Engineering Partner for AI, Data & Modernization•Engineered, Operated and owned within explicit controlled boundaries•
Muoro secures a $3.2M grant from Brownfield to expand Global Capability Centers and Centres of Excellence in tier-II cities, North India.•Value Engineering Partner for AI, Data & Modernization•Engineered, Operated and owned within explicit controlled boundaries•
Global AdTech CDP Modernization
Muoro modernized a global AdTech leader's customer data platform, cutting ETL processing on the full dataset from hours down to minutes.
Business Outcomes
Business Outcomes
Hours → Minutes
ETL runtime on the full dataset
Databricks
Replaced legacy Hadoop Epsilon cluster
ADF
Orchestration layer fully modernizedAbout Client
The client is a global mobile AdTech leader operating a large-scale Customer Data Platform for marketing and product teams. Its legacy Hadoop infrastructure had become a bottleneck for the business, slowing the marketing agility and product innovation that its scale demands.Platform Engineering
The Challenge
Maven build failures and missing JAR dependencies stalled delivery.
The Challenge
Maven build failures and missing JAR dependencies stalled delivery.
Version Conflicts
Auto-selected library versions were breaking on Databricks.Dependency Hell
Some use cases needed multiple Guava versions running simultaneously.Slow Turnaround
The legacy Hadoop cluster was slowing marketing data turnaround.Version Conflicts
Auto-selected library versions were breaking on Databricks.Dependency Hell
Some use cases needed multiple Guava versions running simultaneously.Slow Turnaround
The legacy Hadoop cluster was slowing marketing data turnaround.Version Conflicts
Auto-selected library versions were breaking on Databricks.Dependency Hell
Some use cases needed multiple Guava versions running simultaneously.Slow Turnaround
The legacy Hadoop cluster was slowing marketing data turnaround.Version Conflicts
Auto-selected library versions were breaking on Databricks.Dependency Hell
Some use cases needed multiple Guava versions running simultaneously.Slow Turnaround
The legacy Hadoop cluster was slowing marketing data turnaround.The Muoro Solution
A full dependency-tree audit led to targeted POM file rewrites.
The Muoro Solution
A full dependency-tree audit led to targeted POM file rewrites.
Dependency Audit
A full dependency-tree audit led to targeted POM file rewrites.Isolated Versions
The Maven Shade Plugin was used to isolate conflicting library versions.ADF Orchestration
ADF jar-activity orchestration was introduced into the Databricks environment.Databricks
|Spark (Java)
|Maven Shade
|Azure Data Factory
|CDP
Impact & Results
ETL on the full dataset dropped from hours to minutes.
Impact & Results
ETL on the full dataset dropped from hours to minutes.
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Fewer Build Failures
Build failures and associated debugging time were eliminated.Faster Releases
Pipeline deployments and product releases accelerated.Future-Ready
The framework is now resilient to future library version changes.Fewer Build Failures
Build failures and associated debugging time were eliminated.Faster Releases
Pipeline deployments and product releases accelerated.Future-Ready
The framework is now resilient to future library version changes.Fewer Build Failures
Build failures and associated debugging time were eliminated.Faster Releases
Pipeline deployments and product releases accelerated.Future-Ready
The framework is now resilient to future library version changes.Final Outcome
A global AdTech leader's CDP: ETL jobs that took hours now complete in minutes.
Final Outcome
A global AdTech leader's CDP: ETL jobs that took hours now complete in minutes.
Modernize your data platform for faster processing
Replace legacy data infrastructure with a scalable foundation that reduces processing time, removes pipeline bottlenecks, and speeds up releases.
Modernize your data platform for faster processing
Replace legacy data infrastructure with a scalable foundation that reduces processing time, removes pipeline bottlenecks, and speeds up releases.
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