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Case study · Enterprise

Legacy Data Platform Modernization

From aging ETL and on-premises databases to a scalable cloud data platform.

Illustrative example · client anonymized
Legacy ETL
Legacy Database
Cloud Data Platform
Analytics
The challenge

Aging ETL jobs and an on-premises database limited scale, were costly to change, and slowed the delivery of reporting to the business.

Our approach
01

Assess

Inventory legacy pipelines, dependencies, and reporting needs.

02

Design

Define the target cloud architecture and migration waves.

03

Migrate

Move pipelines in stages with source-to-target validation.

04

Retire

Decommission legacy components and enable the new platform.

Outcomes
RESULT

—

Pipeline runtime

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RESULT

—

Platform cost

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RESULT

—

Migration validation

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Technology
AzureApache SparkSQLPythonPower BI