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Overview
Our customer, a renowned Food and Beverages giant operating in over 200 countries, faced operational challenges within their $79 billion business. With a sprawling data lake serving multiple environments, performance issues and data security risks necessitated a significant transformation.
The goal was to establish new environments for development and production, ensuring seamless release management, resolving performance bottlenecks, and achieving rapid development cycles.
The Challenge
The existing architecture, managing data from diverse sources, posed challenges in performance, security, and development workflow. The migration involved setting up new environments, migrating data and applications, re-engineering pipelines, and addressing performance concerns.
Solution
01.
Dedicated Environments
Established separate environments for Development and Production.
02.
Seamless Migration
Successfully migrated data services, applications, and resources.
03.
Release Management
Implemented efficient release management processes.
04.
Decommissioning
Early decommissioning of the source environment to optimize costs.
05.
Performance Resolution
Addressed new performance challenges through infrastructure adjustments.
Technology Challenges
The customers existing architecture ingested from multiple source systems, curated the data, ran several models whose output was finally sent via services to business applications and business intelligence reporting done with PowerBI. The migration involved
1
Setting up resources
2
Migration of Data
3
Re-Engineering ADF pipelines - Ingestion, Curation
4
Migration of ML Models
5
Migration of Business Intelligence reports
6
Set up of CI/CD pipelines and processes
Outcome
The meticulous migration of data services, applications, and resources into the new environment, coupled with seamless release management processes, resulted in early decommissioning, significant cost savings, and efficient resolution of new performance challenges.
Proud Moments
" The team's identification and resolution of a critical cluster configuration change for handling extensive data volumes in the Development environment showcased exceptional problem-solving skills. "